.NET Integrations

Better Stack is an eBPF-based, AI SRE observability tool that helps you ship high-quality software faster. Monitor everything from websites to servers. Schedule on-call rotations, get actionable alerts, and resolve incidents faster than ever. Visualize your entire stack, aggregate all your logs into structured data, and query everything like a single database with SQL. Made to fit into your workflow with over 100+ integrations. Built for speed and scale, it combines multiple monitoring and alerting workflows into a single, powerful interface that boosts visibility and slashes response times. Key features include an OpenTelemetry-native Kubernetes collector powered by eBPF, real-time alerting, and collaborative dashboards.

CrowdHandler's virtual waiting room is a reliable solution utilized by entertainment companies, sports organizations, and online retailers across the world. It safeguards your application while maintaining fairness during high traffic periods. You can monitor your queues and assess site performance effortlessly. Our user-friendly dashboard provides all the necessary insights regarding your application's condition. Generate excitement over limited availability by using countdowns for your drops, while ensuring fairness for your fans by randomly assigning positions at the critical moment. Whether you prefer a one-in-one-out approach, rate-limiting access, or offering priority access, CrowdHandler has you covered. You can protect your entire domain or a specific URL, and the platform allows seamless integration at the edge or through our API. It is designed to function exactly as you require, adapting to your specific needs and preferences. With CrowdHandler, you can enhance user experience and manage traffic effectively.

Presenting DataGrip, an innovative integrated development environment tailored for SQL experts. This advanced tool facilitates query execution in multiple modes while preserving a local history that tracks all actions, ensuring your work is well-protected. Users can easily access tables, views, or procedures by name through targeted actions or directly from their utilization in SQL code. Furthermore, DataGrip provides comprehensive insights into query performance and database engine behavior, empowering you to refine your queries for improved efficiency. The context-sensitive code completion feature significantly accelerates SQL writing, as it understands the table structures, foreign keys, and database objects pertinent to your current work. Additionally, the IDE effectively detects potential errors in your code and offers prompt suggestions for corrections, fostering a more seamless coding journey. It also alerts you to any unresolved objects by utilizing keywords as identifiers and consistently provides solutions for any issues that may emerge. These combined functionalities position DataGrip as an essential resource for developers seeking to boost their productivity and elevate the quality of their code while navigating complex database environments. Whether you are a seasoned professional or just starting, DataGrip adapts to your needs, making database management more intuitive and efficient.

Thinfinity® VirtualUI provides a dual-platform solution that transforms Windows desktop applications into web applications accessible from any HTML5 web browser, facilitating remote use. Since its introduction in 2015, it has empowered thousands of organizations in their digital transformation journeys. Implementing Thinfinity® VirtualUI is straightforward; it requires just a single line of code to be added to your source code. This simplicity allows for seamless uploading of desktop applications to the internet, enabling access from various devices or computers, thus enhancing flexibility and user experience. Additionally, this capability supports organizations in adapting to modern work environments where remote access is essential.

With List & Label, software developers can equip web, cloud and desktop applications with report generation, printing, previewing and export functionalities. The component can be used in development environments such as .NET 8/9/10, .NET Framework 4.x, C#, C/C++, Delphi/VCL and ASP.NET Core MVC. It supports connections to a wide range of data sources, giving developers the flexibility to create, generate and distribute reports from within their applications. Report layouts are created and adjusted in the WYSIWYG Report Designer. Developers and end users can work with data from databases or other sources, define the structure of the report template and prepare the content for print, preview or export. For browser-based report design in web applications, List & Label includes the Web Report Designer for ASP.NET MVC. Teams can create templates directly in the browser, which increases flexibility and reduces the need for local design tools. List & Label Cross Platform enables report generation for modern cross-platform .NET applications on Windows, Linux, macOS, iOS and Android without native dependencies.

Snyk stands at the forefront of developer security, empowering developers globally to create secure applications while also providing security teams with the tools necessary to navigate the complexities of the digital landscape. By prioritizing a developer-centric approach, we enable organizations to safeguard every vital element of their applications, spanning from code to cloud, which results in enhanced productivity for developers, increased revenue, higher customer satisfaction, reduced costs, and a stronger security framework overall. Our platform is designed to seamlessly integrate into developers' workflows and fosters collaboration between security and development teams, ensuring that security is woven into the fabric of application development. Furthermore, Snyk's commitment to innovation continually evolves to meet the changing demands of the security landscape.

Tabscanner is an advanced API that utilizes AI-driven optical character recognition to swiftly and accurately extract data from receipts. With an impressive track record of processing over one billion receipts in its eight years of operation, it stands out for its ease of integration into any software or application. Key features include an exceptional accuracy rate of 99%, rapid processing capabilities, and a responsive support team available to aid with customization and data refinement. Designed specifically for decoding and extracting information from various point-of-sale formats, Tabscanner is ideal for applications in fields like expense reporting, loyalty programs, and market analysis. The platform accommodates multiple languages and regional formats, ensuring reliable data capture across diverse geographical areas. Developers interested in exploring the capabilities of Tabscanner can utilize the Starter plan, which provides 200 credits per month, allowing them to evaluate the API's performance and accuracy before deciding to move to a more advanced subscription plan. This offers a practical opportunity for users to gauge the potential benefits of integrating such technology into their systems.

Gemini 3.5 Flash is Google’s next-generation frontier AI model engineered to combine advanced reasoning, multimodal intelligence, agentic automation, and high-speed performance for developers, enterprises, and everyday users. As the first publicly released model in the Gemini 3.5 family, the platform is designed to execute complex long-horizon workflows while delivering fast response speeds and strong performance across coding, reasoning, multimodal understanding, and AI-driven automation tasks. Gemini 3.5 Flash significantly advances Google’s agentic AI capabilities by enabling AI systems to plan, execute, iterate, and manage multi-step workflows such as software engineering, codebase maintenance, financial analysis, application development, infrastructure operations, and large-scale enterprise automation. Powered by the updated Antigravity harness, the model can coordinate collaborative subagents that work together to complete demanding workflows under supervision while maintaining high reliability and operational efficiency. Gemini 3.5 Flash also demonstrates advanced multimodal capabilities by generating dynamic graphics, interactive web interfaces, animations, and visually rich experiences that support developers and businesses building AI-powered applications and user experiences. The model achieves frontier-level performance across multiple coding, agentic, and multimodal benchmarks while operating at significantly faster output speeds compared to many competing frontier AI systems, helping reduce workflow latency and operational costs. Google has integrated Gemini 3.5 Flash across a broad ecosystem that includes the Gemini app, AI Mode in Google Search, Google AI Studio, Android Studio, Gemini Enterprise Agent Platform, and enterprise AI products to provide global access to advanced AI automation capabilities.

Microsoft Visual Studio represents the gold standard for modern software development—uniting powerful AI-assisted coding, comprehensive debugging, and scalable team collaboration. The Visual Studio 2022 IDE is purpose-built for enterprise-grade application development with full support for .NET 10, C++, Azure, and cross-platform deployment. Developers can write, test, and debug applications efficiently using AI-enhanced tools like GitHub Copilot and Agent Mode, which automates complex multi-step workflows such as refactoring, building, and testing. The IDE provides memory analysis, inline fixers, and code quality gates, allowing teams to catch issues early and maintain clean, maintainable codebases. For cross-platform and web developers, Visual Studio Code offers a streamlined, open-source editor that integrates with GitHub, Docker, and Kubernetes, and supports extensions for nearly every programming language. Both environments support intelligent autocomplete, integrated terminals, and version control, empowering developers to move from idea to deployment seamlessly. Enterprise teams benefit from Visual Studio Subscriptions, providing access to Azure credits, cloud testing, training resources, and Microsoft’s entire dev/test catalog. Security and governance are built-in through SIEM integration, access controls, and code policy enforcement. The Visual Studio family is designed to scale with organizations of all sizes—from startups to Fortune 500 companies—while supporting collaboration through real-time editing, cloud hosting, and DevOps pipelines. Backed by Microsoft’s decades of innovation, Visual Studio remains the most complete, AI-driven development platform for building the future of software.

Since its inception in 2002, IP2Location has established itself as a premier provider of IP geolocation services. This innovative platform converts IP addresses into detailed geographic information, which includes data such as country, region, city, latitude and longitude, ZIP code, time zone, connection speed, ISP, domain name, IDD country code, area code, weather station metrics, mobile network codes (MNC), mobile country codes (MCC), mobile carriers, elevation, usage type, address type, advertising category, as well as VPN and residential proxy details. Thousands of developers have harnessed the power of IP2Location to enhance their applications and websites, benefiting from its extensive data offerings. The service is conveniently accessible through databases, APIs, and bulk services, making it versatile for various integration needs. For further insights and information, we encourage you to explore our website.

The Java™ Programming Language is crafted to be a flexible, concurrent, and strongly typed language that is oriented around objects and follows a class-based framework. It is usually converted into bytecode that complies with the guidelines established in the Java Virtual Machine Specification. Developers typically write their source code in plain text documents, which are designated with a .java extension. These source files are then compiled into .class files using the javac compiler. Unlike code meant for native processors, a .class file contains bytecodes that represent the machine language recognized by the Java Virtual Machine (Java VM). To run an application, the java launcher tool initiates an instance of the Java Virtual Machine, enabling the smooth execution of the compiled bytecode. This entire workflow illustrates the remarkable efficiency and portability that Java provides across a wide range of computing platforms, showcasing its adaptability in diverse programming environments. As a result, developers can rely on Java to create applications that function consistently regardless of the underlying system architecture.

.NET Multiplatform App UI, commonly referred to as .NET MAUI, is a framework designed for creating contemporary, natively compiled applications for both iOS and Android using C# or XAML, all from a unified codebase. This innovative framework harnesses the latest advancements to facilitate the development of native applications across Android, iOS, and macOS platforms. By simplifying the process, .NET MAUI integrates these various platforms into a cohesive framework built on .NET 6. The native applications produced are inherently tailored to match the aesthetics and functionalities of their respective operating systems. Developers benefit from automatic layout adjustments for different devices without the need for extra coding. Furthermore, .NET MAUI provides direct access to platform APIs via C#, enabling the utilization of more than 60 distinct platform features such as geolocation, sensors, and isolated storage, ultimately enhancing the app's capabilities. This streamlined approach not only accelerates development but also ensures a seamless user experience across diverse devices.

GPT-4o, with the "o" symbolizing "omni," marks a notable leap forward in human-computer interaction by supporting a variety of input types, including text, audio, images, and video, and generating outputs in these same formats. It boasts the ability to swiftly process audio inputs, achieving response times as quick as 232 milliseconds, with an average of 320 milliseconds, closely mirroring the natural flow of human conversations. In terms of overall performance, it retains the effectiveness of GPT-4 Turbo for English text and programming tasks, while significantly improving its proficiency in processing text in other languages, all while functioning at a much quicker rate and at a cost that is 50% less through the API. Moreover, GPT-4o demonstrates exceptional skills in understanding both visual and auditory data, outpacing the abilities of earlier models and establishing itself as a formidable asset for multi-modal interactions. This groundbreaking model not only enhances communication efficiency but also expands the potential for diverse applications across various industries. As technology continues to evolve, the implications of such advancements could reshape the future of user interaction in multifaceted ways.

Claude Sonnet 3.7, created by Anthropic, is an innovative AI model that brings a unique approach to problem-solving by balancing rapid responses with deep reflective reasoning. This hybrid capability allows users to toggle between quick, efficient answers for everyday tasks and more thoughtful, reflective responses for complex challenges. Its advanced reasoning capabilities make it ideal for tasks like coding, natural language processing, and critical thinking, where nuanced understanding is essential. The ability to pause and reflect before providing an answer helps Claude Sonnet 3.7 tackle intricate problems more effectively, offering professionals and organizations a powerful AI tool that adapts to their specific needs for both speed and accuracy.

GPT-4.1 is a cutting-edge AI model from OpenAI, offering major advancements in performance, especially for tasks requiring complex reasoning and large context comprehension. With the ability to process up to 1 million tokens, GPT-4.1 delivers more accurate and reliable results for tasks like software coding, multi-document analysis, and real-time problem-solving. Compared to its predecessors, GPT-4.1 excels in instruction following and coding tasks, offering higher efficiency and improved performance at a reduced cost.

Claude Opus 4, the most advanced model in the Claude family, is built to handle the most complex software engineering tasks with ease. It outperforms all previous models, including Sonnet, with exceptional benchmarks in coding precision, debugging, and complex multi-step workflows. Opus 4 is tailored for developers and teams who need a high-performance AI that can tackle challenges over extended periods—perfect for real-time collaboration and long-duration tasks. Its efficiency in multi-agent workflows and problem-solving makes it ideal for companies looking to integrate AI into their development process for sustained impact. Available via the Anthropic API, Amazon Bedrock, and Gemini Enterprise Agent Platform, Opus 4 offers a robust tool for teams working on cutting-edge software development and research.

Claude Opus 4.7 represents a major step forward in AI model development, focusing on advanced reasoning, coding, and enterprise-level task execution. It improves significantly over Opus 4.6 by delivering stronger performance on complex and high-effort software engineering challenges. The model is particularly effective at managing long-running processes, maintaining consistency, and producing reliable outputs over time. Its enhanced instruction-following capabilities ensure that it interprets prompts more literally and executes tasks with greater precision. Opus 4.7 also features advanced self-checking mechanisms, enabling it to validate its own responses before completion. A major highlight is its improved multimodal support, allowing it to process high-resolution images and extract fine visual details. This capability is especially useful for tasks like analyzing technical screenshots, interpreting diagrams, and supporting computer-based workflows. The model produces high-quality professional outputs, including refined documents, presentations, and UI designs that meet business standards. It also demonstrates strong performance across industries such as finance, legal services, and data analysis. Enhanced memory capabilities allow it to retain important context across sessions, making it more efficient for ongoing projects. Opus 4.7 includes safety and alignment improvements, with systems in place to detect and block potentially harmful or restricted use cases. It introduces new controls for balancing reasoning depth and response speed, giving users flexibility based on task complexity. Widely accessible through APIs and major cloud platforms, Opus 4.7 is designed to support scalable, high-performance AI applications for modern enterprises.

SWE-1.7 is a frontier software engineering model from Cognition built for advanced coding agents and long-horizon development workflows. It is designed to deliver strong coding intelligence at a fraction of the cost of some leading frontier alternatives, improving the cost-performance balance for real software engineering work. The model is trained from a Kimi K2.7 base and further improved through Cognition’s reinforcement learning pipeline, showing that additional post-training can still produce major capability gains. SWE-1.7 is optimized for tasks such as bug fixing, feature implementation, code migrations, terminal-based workflows, multilingual software engineering, large codebase navigation, and end-to-end validation. It performs especially well on longer asynchronous tasks where an AI agent needs to gather context, inspect files, test hypotheses, make changes, and verify results over an extended period. Cognition trained the model with infrastructure improvements that preserve entropy, stabilize training, support multi-cluster reinforcement learning, and improve fault tolerance across large distributed runs. The training process also focused heavily on data quality, using automated execution tests, verifier quality checks, reward-hacking prevention, and task filtering to create stronger learning signals. SWE-1.7 includes self-compaction, allowing it to summarize its working state and continue long projects even when tasks exceed the raw context window. It also uses an alternating length penalty to encourage concise reasoning on easier tasks while maintaining deeper exploration when a problem requires it. In practice, the model tends to explore codebases carefully, read relevant files, search for hidden requirements, test edge cases, and experiment before deciding how to implement a fix. Available in Devin across web, desktop, and CLI via Cerebras, SWE-1.7 gives engineering teams a powerful model for running scalable, cost-efficient coding agents.

Gemini 3.6 Flash is a new Google Gemini model designed for efficient, high-quality AI agents and production workloads. It builds on Gemini 3.5 Flash with improvements in coding, knowledge work, multimodal understanding, computer use, and complex workflow execution. Google positions Gemini 3.6 Flash as the workhorse model in the Flash series, optimized for the balance of quality, speed, reliability, and cost. The model is designed to reduce verbosity, use fewer output tokens, take fewer reasoning steps, and require fewer tool calls during multi-step tasks. Google says Gemini 3.6 Flash uses 17% fewer output tokens than 3.5 Flash on the Artificial Analysis Index and can reduce output usage even more on some coding benchmarks. It is priced at $1.50 per 1 million input tokens and $7.50 per 1 million output tokens, giving developers a lower-cost option for agentic workflows than 3.5 Flash. Gemini 3.6 Flash shows gains in benchmarks for software engineering, ML research, computer use, and knowledge work. It can support use cases such as code migration, document parsing, financial data analysis, chart interpretation, report drafting, visual interface building, and multi-agent orchestration. Built-in computer use is available through the Gemini API and Gemini Enterprise, helping agents interact with digital tools more reliably. Google also says the model ships with enhanced Frontier Safety safeguards for CBRN and cyber offense misuse while minimizing refusals for beneficial use cases. By combining lower cost, stronger task performance, multimodal understanding, built-in computer use, and safety improvements, Gemini 3.6 Flash is built for teams that need scalable AI agents across software, enterprise, and productivity workflows.

Gemini 3.7 Flash is Google’s intelligent workhorse model built for coding, agents, software engineering, knowledge work, web development, and complex business workflows. The model delivers substantial improvements across debugging, issue resolution, first-pass code accuracy, and production-ready code generation. Developers can use Gemini 3.7 Flash to move from prompt to working implementation with fewer revisions and stronger reliability. Its software engineering capabilities make it useful for resolving issues, generating code, improving applications, and supporting agentic coding workflows. For web development, the model can create more functional layouts and feature-complete applications in fewer prompts. It also performs well when following design requirements from screenshots, images, visual references, and complete design systems. Gemini 3.7 Flash supports knowledge-heavy domains such as finance, law, and biosciences with improved reasoning and accuracy. Its complex-document understanding helps users analyze dense materials, extract meaning, and work through specialized information more effectively. The model also supports real-world workflow automation, making it useful for business processes that require structured reasoning and task execution. Multimodal capabilities extend its use cases to interactive web experiences, data stories, robotics, and dynamically generated 3D content. By combining coding strength, agentic execution, web development capability, design adherence, document intelligence, multimodal reasoning, and workflow automation, Gemini 3.7 Flash helps teams build and execute more complex work.

Muse Spark 1.3 showcases a sophisticated AI model that significantly enhances its abilities for both agentic and programming tasks, thereby increasing its intelligence and practical utility for daily use. It is particularly adept at sustaining concentration on lengthy projects through active user collaboration, all while skillfully orchestrating multiple workflows within a cohesive thread. When confronted with an open-ended objective, the model efficiently harnesses tools to derive context from chaotic or conflicting data, addresses strategy gaps, monitors its learning trajectory, and ultimately produces a polished final outcome. In instances where prompts are vague, it takes the initiative to request clarification, seeks help when obstacles arise, and verifies its next steps before making critical decisions. The model exhibits exceptional dependability in adhering to complex, lengthy instructions, ensuring that intricate requirements are consistently honored throughout multifaceted tasks without overlooking essential constraints or deviating from the intended workflow. Furthermore, its advanced multitasking abilities allow it to effectively match incoming requests to the relevant tasks, even when users make interjections or alter the focus of prior inquiries, resulting in a fluid user experience. Consequently, Muse Spark 1.3 stands out as a highly adaptable tool suitable for diverse applications, making it a valuable asset across various fields.

SWE-2 Flash is an AI coding and software engineering model developed by Cognition to deliver high-speed programming capabilities with lower inference costs than larger frontier models. The model uses a 276-billion-parameter mixture-of-experts architecture with approximately 12 billion active parameters, based on Thinking Machines' Inkling-Small foundation model. Cognition enhances the underlying model through a dedicated mid-training process followed by large-scale reinforcement learning focused on software engineering and general reasoning tasks. Its training incorporates several trillion tokens of carefully selected technical material, including source code, scientific publications, articles, and other datasets relevant to complex problem-solving. SWE-2 Flash supports automated code generation, software maintenance, code reviews, feature development, documentation updates, and other tasks performed by autonomous development agents. The model is optimized for efficient inference and generates approximately 200 tokens per second, compared with approximately 60 tokens per second for the larger SWE-2 model. Cognition reports that SWE-2 Flash operates at one-fifth the cost of SWE-2 while maintaining competitive performance across several software engineering evaluations. Its published benchmark results include 24.0% on FrontierCode 2.0, 45.5% on FrontierCode 1.1 Main, 60.1% on DeepSWE 1.1, and 89.9% on SWE-Bench Pro v2 Hard. The model also demonstrates cybersecurity-related capabilities, achieving 34.8% on ExploitBench compared with 11.3% for its original foundation model. Developers can access SWE-2 Flash through Devin Desktop and CLI for interactive programming assistance and agent-driven engineering workflows. Cognition is developing a secure program for sharing model weights with approved industry partners and research organizations, potentially enabling fine-tuning and deployment on private or on-premises infrastructure.

Mend.io introduces the industry's first AI-native application security platform, designed to secure software regardless of its origin – human or AI-generated. It offers a unified solution for AI security, SAST, SCA, container scanning, and Mend Renovate, giving development and security teams complete visibility and control over risks. With AI-powered remediation and a straightforward pricing model, Mend.io provides a scalable, proactive, and developer-friendly AppSec experience in a single platform.

Azure DevOps is a comprehensive cloud-based development suite designed to empower teams to plan, build, test, and ship software efficiently and securely. It offers a full range of services including Azure Boards for agile project management, Azure Pipelines for continuous integration and continuous delivery (CI/CD), Azure Repos for source control using Git, Azure Test Plans for manual and automated testing, and Azure Artifacts to manage dependencies and packages. Integration with GitHub Copilot enhances developer productivity by providing AI-driven coding assistance directly within workflows. The platform’s security infrastructure is robust, backed by over 100 global compliance certifications and a dedicated team of 34,000 security engineers. Azure DevOps supports multiple programming languages and deployment targets, and integrates seamlessly with popular tools like GitHub, Zendesk, and Talkdesk. Managed DevOps agent pools provide scalable, secure, and cost-effective infrastructure for running build and release pipelines. Customer stories from leading companies like Vodafone, Novo Nordisk, and Lumen highlight significant improvements in developer productivity, software release frequency, and operational efficiency. With flexible licensing and pay-as-you-go options, Azure DevOps is accessible for organizations of all sizes. The platform also offers extensive resources including ROI calculators, educational content, and expert support. By combining AI, security, and developer-friendly tools, Azure DevOps accelerates software innovation while maintaining compliance and operational excellence.

PlatformIO is a pioneering collaborative platform tailored for embedded development, enabling users to save time and resources by drastically reducing the costs and efforts associated with software development and upkeep. The embedded systems industry is in urgent need of a revolutionary solution, as numerous current IDEs and tools are based on obsolete technology from the 1990s, leading to complicated requirements and platform-specific setups that deter talented developers from entering the field of embedded engineering. As the top-rated IDE option for Microsoft Visual Studio Code, it provides a user-friendly and highly modular integrated development environment along with a robust array of professional development tools. These tools are specifically designed to improve both the efficiency and ease of creating and delivering embedded products. Moreover, PlatformIO is developed solely in pure Python, which guarantees its operation without reliance on any external libraries or system tools, thereby simplifying the development process and promoting a more effective workflow. Its dedication to modernizing the landscape of embedded development positions it as an indispensable resource for developers eager to push the boundaries of innovation in this area. By embracing the advantages of such a platform, developers can not only enhance their productivity but also contribute to the evolution of embedded engineering as a whole.

FastWebHost emerges as the premier choice for outstanding yet affordable web hosting solutions. You have the option to choose from our high-quality and economical hosting services, which include shared hosting, WordPress hosting, VPS, and dedicated servers. Our budget-friendly hosting options are designed to meet the needs of various businesses eager to create an online identity. Kickstart your website using one of our cost-effective hosting plans, complete with a complimentary one-click app installer and a range of site-building tools. Additionally, you can start providing web hosting and domain services to your own customers, benefiting from free access to WHM/cPanel for streamlined domain management. Establishing a lucrative hosting business is made easy with our straightforward and powerful VPS hosting, specifically crafted for developers who require full control and unmatched freedom over their server environment. We also offer some of the most economical and reliable Windows web hosting, ideal for hosting Windows .NET/ASP-based websites, which comes with a free Plesk panel for managing domains, email accounts, and files. Furthermore, our intuitive WordPress hosting makes it easy to manage your site, as we handle security, backups, and performance, while also providing free migration services for WordPress websites. With FastWebHost, creating and sustaining a prosperous online presence is simpler than ever, allowing you to focus on growing your business without the hassle of technical difficulties.

The software development lifecycle has undergone a fundamental shift. Across engineering organizations of every size, developers are using AI coding tools — GitHub Copilot, Cursor, Windsurf, Claude Code, Gemini CLI — as a core part of how software gets built. These tools accelerate delivery, but they also introduce a new and largely ungoverned attack surface that traditional security products were never designed to address. Backslash Security was built specifically for this environment. The platform gives security teams comprehensive visibility into the AI coding tools active across their organization, the code being generated, and the risk being introduced before it ever reaches production. This is not a legacy scanner retrofitted for a new market. Every capability in Backslash was designed from the ground up with AI-native development in mind. A critical risk vector is MCP servers — the infrastructure AI coding agents use to connect to external services and data sources. Misconfigured or over-permissioned MCP servers can expose sensitive organizational data to AI models, creating data leakage pathways that are invisible to conventional security tooling. Backslash provides full visibility into MCP server connections, flags over-permissioned configurations, and enforces access controls before exposure occurs. Core capabilities include AI coding tool inventory and policy enforcement, MCP server visibility and over-permission detection, data leakage prevention across AI agent connections, vibe coding security for risk detection in AI-generated code, and continuous monitoring across the full AI coding spectrum. The organizations that need Backslash have already crossed the AI coding adoption threshold. Their developers are moving fast, AI tools are embedded in daily workflows, and security visibility has not kept pace. Backslash closes that gap — giving security teams the control and confidence to let development move at the speed the business demands.

Claude Sonnet 4 is a breakthrough AI model, refining the strengths of Claude Sonnet 3.7 and delivering impressive results across software engineering tasks, coding, and advanced reasoning. With a robust 72.7% on SWE-bench, Sonnet 4 demonstrates remarkable improvements in handling complex tasks, clearer reasoning, and more effective code optimization. The model’s ability to execute complex instructions with higher accuracy and navigate intricate codebases with fewer errors makes it indispensable for developers. Whether for app development or addressing sophisticated software engineering challenges, Sonnet 4 balances performance and efficiency, offering an optimal solution for enterprises and individual developers seeking high-quality AI assistance.

Muse Wonder Full is a large-scale artificial intelligence model developed by Meta for advanced agentic reasoning, professional knowledge work, and complex software engineering tasks. Introduced in October 2026, it represents the larger variant of the Muse Wonder family and builds on Meta's research into scaling pretrained models and reinforcement learning. The model is designed to manage complex objectives involving multiple steps, changing requirements, external information, and sustained problem-solving. Its Active Memory capability maintains important contextual information across conversations and retrieves relevant details when they become useful for subsequent tasks. Active Focus enables the model to pursue long-running assignments, explore alternative strategies, recover from obstacles, and adapt to new information. The system can request clarification when instructions are incomplete and seek user confirmation before performing important actions. Muse Wonder Full supports professional applications involving legal documents, financial analysis, health-related information, and business process automation. Its coding capabilities include generating software, analyzing existing repositories, tracking implementation requirements, modifying source code, and performing iterative testing and debugging. Meta trained the model on diverse long-running software engineering tasks to support development projects requiring multiple rounds of implementation and revision. Evaluations include MemoryBench for contextual memory, FocusBench for sustained task execution, SWE-Marathon and DeepSWE for software engineering, and additional assessments covering professional agents and unfamiliar problem-solving tasks. Muse Wonder Full is available to Muse Code subscribers, with Meta also reporting safety evaluations addressing personal information handling, adversarial instructions, unauthorized code execution, and misuse prevention.

C++Builder serves as a comprehensive tool for designing and developing contemporary applications. Are you prepared to craft the finest user interfaces of your career? Our Visual Component Library (VCL) framework for Windows and the FireMonkey (FMX) framework facilitate the creation of cross-platform user interfaces, laying the groundwork for stunning and user-friendly designs that function seamlessly across various platforms, including Windows, macOS, and iOS. You have the ability to create a master UI layout just once and subsequently adjust views tailored to specific platforms or devices without needing to replicate your initial design work. With our visual designer, you can easily employ drag-and-drop functionality to incorporate both visual and non-visual components. The LiveBindings Designer offers a way to visually link user interface components with their corresponding data sources. Furthermore, the Live On-Device Preview feature empowers you to assess your design and showcase it on multiple devices at once. You can also implement responsive designs that adapt to desktop, tablet, and smartphone screens using resolution-aware components. For an enhanced user experience, it's beneficial to utilize native controls that are tailored to each platform's specifications, ensuring optimal interaction for all users. Moreover, this approach can significantly streamline your development process, making it more efficient and less error-prone.

Oracle SQL Developer serves as a dynamic and user-friendly development environment that simplifies the tasks of both developing and overseeing Oracle Database, applicable in both conventional environments and cloud-based solutions. It encompasses extensive features that support the entire PL/SQL application development lifecycle, including a worksheet for running queries and scripts, along with a DBA console that aids in efficient database administration. Furthermore, the tool provides a reporting interface, a robust data modeling solution, and a means to migrate third-party databases into Oracle. Users are empowered to execute SQL commands, manage user accounts, create or modify database objects, import data into tables, troubleshoot performance issues, visualize database schemas, and much more. This comprehensive tool integrates the functionalities of a powerful desktop application right within a web browser. In addition, with the support of Oracle REST Data Services, users can easily connect to their on-premises database instances, and the platform also streamlines the transition from Oracle On-Premises to Oracle Cloud, enhancing the interaction and management of database content. By facilitating database development and management at any time and from nearly any location, this tool significantly boosts overall productivity for users. Its accessibility and functionality make it an essential resource for database professionals.

Claude Opus 4.6 is an advanced AI language model developed by Anthropic, designed to handle complex reasoning, coding, and enterprise-level tasks with high accuracy. It introduces major improvements in planning, debugging, and code review, making it highly effective for software development workflows. The model is capable of sustaining long-running, agentic tasks and performing reliably across large and complex codebases. A key feature of Claude Opus 4.6 is its 1 million token context window in beta, enabling it to process vast amounts of information while maintaining coherence. It excels in knowledge work tasks such as financial analysis, research, and document creation. The model achieves state-of-the-art performance on multiple benchmarks, including coding and reasoning evaluations. Claude Opus 4.6 includes adaptive thinking, allowing it to dynamically adjust how deeply it reasons based on context. Developers can fine-tune performance using configurable effort levels that balance intelligence, speed, and cost. The model also supports context compaction, enabling longer workflows without exceeding limits. Integration with tools like Excel and PowerPoint enhances its usability for everyday business tasks. It maintains a strong safety profile with low rates of misaligned behavior and improved reliability. Overall, Claude Opus 4.6 is a powerful AI solution for advanced technical, analytical, and enterprise applications.

MAI-Code-1.1-Flash is a streamlined and powerful coding model designed to boost both the speed and quality of code development specifically for engineering teams. Currently utilized in GitHub Copilot and seamlessly integrated into VS Code, it aligns with the everyday workflows of developers by particularly enhancing command-line functions and .NET operations based on user interactions. In comparison to the version revealed at Microsoft Build in June, this model demonstrates notable advancements in code quality, achieved through lower token consumption and faster streaming responses. Microsoft reports a 22% improvement on Terminal-Bench 2.1 for GitHub Copilot CLI, as well as a 15% enhancement in .NET task performance. Furthermore, production metrics reveal a 4% increase in code survival rates and a 9% rise in user retention on the platform. Impressively, within GitHub Copilot, tokens are streamed 25% more quickly, and the model utilizes 25% fewer tokens to complete tasks, which results in faster responses, shortened wait times, and heightened productivity from each token processed. These improvements arise from refined training approaches and enhanced operational efficiencies, with particular emphasis on practical application in real-world contexts. Ultimately, MAI-Code-1.1-Flash signifies a remarkable advancement in coding assistance technology, paving the way for more efficient development practices. With its emphasis on user experience and real-time feedback, this model is set to redefine how developers interact with coding tools.

Gemini 3.8 Flash distinguishes itself as Google's premier model for Flash, featuring significant upgrades over version 3.7 in crucial areas like software engineering, agent-based functions, and complex multi-step reasoning across specialized disciplines. Tailored for extensive coding tasks and autonomous agents, it effectively tackles intricate engineering problems with a thorough approach, ensuring the essential reliability needed for critical enterprise autonomy in niche knowledge sectors. This model shines particularly in quantitative and professional fields that require advanced analysis and reporting, as well as in multi-step reasoning endeavors that encompass STEM, humanities, and other professional sectors. The enhancements it presents stem from a core design strategy: Gemini 3.8 Flash places greater emphasis on demanding tasks by performing additional reasoning steps and employing tools in an iterative fashion, thereby enhancing its overall performance. When operating at increased effort levels, it may utilize more tokens to produce superior results, while developers are also presented with the option to dial down to lower effort levels for different outcomes. This adaptability not only supports a wide range of project requirements but also allows for customized applications based on specific goals and desired results. Consequently, users can engage with the model in ways that align closely with their individual project demands, maximizing its utility across various contexts.

Claude Sonnet 4.6 is the latest evolution in Anthropic’s Sonnet model family, offering major advancements in coding, reasoning, computer interaction, and knowledge-intensive workflows. Designed as a full upgrade rather than an incremental update, it improves consistency, instruction following, and multi-step task completion across a broad range of professional applications. The model introduces a 1 million token context window in beta, enabling users to analyze entire codebases, long contracts, research archives, or complex planning documents in one cohesive session. Developers with early access reported a strong preference for Sonnet 4.6 over Sonnet 4.5 and even favored it over Opus 4.5 in many real-world coding tasks. Users highlighted its reduced overengineering tendencies, improved follow-through, and lower incidence of hallucinations during extended sessions. A major enhancement is its improved computer-use capability, allowing it to operate traditional software environments by interacting with graphical interfaces much like a human user. On benchmarks such as OSWorld, Sonnet models have shown steady gains in handling browser navigation, spreadsheets, and development tools. The model also demonstrates strategic reasoning improvements in long-horizon simulations, such as Vending-Bench Arena, where it optimizes early investments before pivoting toward profitability. On the Claude Developer Platform, Sonnet 4.6 supports adaptive thinking, extended thinking, and context compaction to maximize usable context length. API enhancements now include automated search filtering, code execution, memory, and advanced tool use capabilities for higher-quality outputs. Pricing remains consistent with Sonnet 4.5, making Opus-level performance more accessible to a broader user base. Available across Claude.ai, Cowork, Claude Code, the API, and major cloud platforms, Sonnet 4.6 becomes the new default model for Free and Pro users.

SecureStack identifies prevalent security vulnerabilities within your CI/CD pipeline and stops them from infiltrating your applications. With every git push, SecureStack seamlessly integrates security measures. Our innovative technology meticulously analyzes all facets of your application's security posture. We identify absent security controls and ensure that encryption is properly implemented. Additionally, we evaluate the efficiency of your Web Application Firewall (WAF). Remarkably, this entire process is completed in under a minute. We provide a perspective similar to that of hackers, allowing you to understand what they see when targeting your applications. By comparing your development, staging, and production environments, you can swiftly pinpoint significant discrepancies and address urgent challenges. Furthermore, we assist you in breaking down your web application, offering insights into all the underlying resources being utilized. This comprehensive approach empowers teams to enhance their overall security strategy effectively.

CodeScene offers advanced capabilities that extend well beyond conventional code analysis methods. It allows for the visualization and assessment of various elements that affect software delivery and quality, moving past a mere focus on the code itself. By leveraging CodeScene’s actionable insights and recommendations, users can make informed decisions driven by data. The platform empowers developers and technical leaders to: - Obtain a comprehensive view of their software system's evolution through a unified dashboard. - Recognize, prioritize, and address technical debt while considering the potential return on investment. - Foster a robust codebase utilizing robust CodeHealth™ Metrics, reducing rework and allocating more resources to innovation. - Easily integrate with Pull Requests and development environments to receive actionable code reviews and refactoring suggestions. - Establish improvement objectives and quality thresholds for teams, all while tracking their progress. - Enhance retrospectives by pinpointing areas that require development. - Evaluate performance against customized trends to ensure continuous improvement. - Grasp the social dynamics of the code by measuring socio-technical aspects such as key personnel dependencies, knowledge sharing, and collaboration between teams effectively. Overall, CodeScene not only improves code quality but also enhances team collaboration and project management.

Email attachments and consumer file-sharing links were never built for tax returns, medical records, legal discovery or customer logs. SendSafely replaces them with end-to-end encrypted delivery, built for organizations that answer to auditors. Encryption runs client-side. SendSafely stores only part of each key, so its servers alone cannot decrypt customer files. Recipients open what you send in a standard web browser after a PIN check; there is no app to download. Support, finance and legal teams reach SendSafely through plugins for the platforms they already use: Salesforce, Zendesk, Freshdesk, Fin, Slack, Outlook and Gmail. Dropzones let you request uploads from clients securely. Halo extends that protection to AI agents handling customer data, and developers can automate transfers through the API, SDKs and MCP server. Administrators manage access with SSO and SCIM and review a full audit trail. SOC 2 Type II; supports HIPAA, PCI DSS, GDPR and CCPA programs.

JetBrains Rider serves as a powerful and versatile cross-platform IDE tailored for .NET development, enabling the creation of applications across .NET, ASP.NET, .NET Core, Xamarin, and Unity on Windows, Mac, and Linux platforms. It is developed on the IntelliJ framework and is enriched by ReSharper's features, ensuring compatibility with .NET Framework, cross-platform .NET Core, and Mono projects. This adaptability allows developers to construct an extensive range of applications, including desktop applications, web services, mobile apps, and Unity games. With over 2200 live code inspections, Rider provides a wealth of context actions and refactorings, effectively merging ReSharper's strengths with the robust functionalities of the IntelliJ ecosystem. The IDE emphasizes performance and user responsiveness, which contributes to an efficient development workflow. Furthermore, Rider supports debugging and running applications across different runtimes while functioning seamlessly on various operating systems. In addition, it includes more than 60 refactorings borrowed from ReSharper and presents a diverse array of over 450 context actions, significantly boosting overall productivity for developers engaged in .NET projects. This combination of features not only streamlines coding processes but also fosters a more enjoyable programming environment.

NCrunch offers real-time monitoring of code coverage by presenting visual indicators next to your code, making it simple to spot areas with varying levels of coverage. This capability streamlines the identification of how coverage is dispersed throughout your project. Tailored for complex and sizable projects, NCrunch has evolved over the last 12 years to meet the needs of extensive systems that may involve millions of lines of code and a vast number of tests. It gathers a comprehensive range of test-related metrics, using this data to provide crucial feedback as quickly as possible. The platform prioritizes tests impacted by your latest code changes, employing sophisticated IL-based change mapping to ensure peak efficiency. Furthermore, NCrunch supports delegating build and testing responsibilities to other machines, allowing you to spread the workload among networked systems or even expand to cloud services. This collaborative method promotes resource sharing among developers, enabling teams to effectively merge their testing efforts. In conclusion, the combination of these advanced features significantly boosts the overall efficiency and output of the software development lifecycle while fostering teamwork among developers.

In today's fast-paced business environment, software development must keep pace with the demands of the market. However, the current AppSec toolbox often suffers from a lack of integration, leading to complexities that can impede the software development life cycle. By employing Contrast, development teams can alleviate these challenges, as it reduces the complications that frequently affect their productivity. Traditional AppSec methods rely on a one-size-fits-all strategy for identifying and addressing vulnerabilities, resulting in inefficiencies and high costs. In contrast, Contrast optimizes the application of the most effective analysis and remediation techniques, significantly enhancing both efficiency and effectiveness. Additionally, disparate AppSec tools can create operational silos, which obstruct the gathering of actionable insights related to the application's attack surface. Contrast addresses this issue by offering centralized observability, essential for risk management and leveraging operational efficiencies, benefiting both security and development teams alike. Furthermore, Contrast Scan, designed specifically for integration within development pipelines, ensures the swift, precise, and cohesive solutions that modern software development demands, ultimately leading to a more agile and responsive approach.

SOOS offers a straightforward solution for securing your software supply chain, allowing you to manage and maintain your Software Bill of Materials (SBOM) alongside those from your suppliers. It provides ongoing monitoring to identify and resolve vulnerabilities and licensing concerns efficiently. With the industry's quickest implementation time, your entire team can leverage Software Composition Analysis (SCA) and Dynamic Application Security Testing (DAST) without any limitations on scans, ensuring robust security practices. This comprehensive approach not only enhances security but also streamlines compliance efforts across your organization.

Treblle is a federated API Intelligence platform offering enterprises full API visibility from one integration point. It deploys on-prem or in a private cloud, ensuring enterprise-grade security and compliance. Treblle enables shift-left with API Intelligence, Discovery, Observability, Analytics, Runtime Security, Governance, Developer Portals, and an AI-powered Integration Assistant. Recognized by Gartner over 15 times and awarded for observability, Treblle drives faster innovation while enabling enterprises to maintain full control over their entire API landscape.

Develop seamless applications for Mobile, Web, and Desktop platforms using C#, XAML, and .NET, the innovative and open-source framework designed to create authentic single-source, multi-platform solutions. With this approach, you can achieve an impressive 99% reuse of both business logic and UI components across various native environments, all while ensuring pixel-perfect design integrity and the option to incorporate platform-specific functionalities or distinctive visual styles. The familiarity of C# and XAML is complemented by advanced productivity features such as hot reload, hot restart, and edit-and-continue, making the development process more efficient. Popular development environments like Visual Studio, Visual Studio Code, and Rider can be utilized to optimize your workflow. Furthermore, a wealth of support options is available from both the community and official channels, including chat, ticketing systems, and screen-sharing for real-time assistance, ensuring that you have the resources to resolve issues effectively. Engaging with this dynamic community not only provides you with answers but also fosters collaboration and inspiration, making every step of your development journey more enjoyable and rewarding.

The barKoder SDK for Barcode Scanner enables users to utilize their smartphones and tablets as robust barcode scanners, eliminating the necessity for costly hardware that often has a limited lifespan. This versatile SDK supports the decoding of over 30 barcode formats, encompassing both 1D types—such as Codabar, Code 25, Code 39, Code 93, Code 128, EAN, Interleaved 2of5, MSI Plessey, Pharmacode, Telepen, UPC—and 2D formats like Aztec Code, Data Matrix, PDF417, and QR Code, all on platforms including Android, iOS, Linux, and Flutter. The most recent iteration of the barKoder SDK introduces a groundbreaking Batch MultiScan feature, enabling users to scan multiple barcodes at once, significantly enhancing efficiency. Additionally, it boasts an advanced DPM Mode designed for reading Data Matrix codes that have been engraved through Direct Part Marking techniques, further expanding its application potential. This innovative approach to barcode scanning is set to redefine convenience and productivity for businesses and users alike.

Tinify CDN serves as a robust content delivery network aimed at enhancing website efficiency by expertly analyzing, optimizing, and disseminating your site's files across a broad array of global servers. This platform leverages Tinify's automated image optimization technology, eliminating the need for manual adjustments while ensuring consistently high-quality outcomes. The installation process of Tinify CDN is straightforward, complete with detailed guides for popular content management systems and frameworks. Key features include advanced image optimization, secure HTTPS connections, and a worldwide content delivery system powered by three independent networks, all designed to provide immediate configuration regardless of the website's design. Additionally, it enables easy image resizing through simple URL changes and boasts a user-friendly dashboard for managing settings and monitoring data usage. Moreover, Tinify CDN supports custom domains, allowing companies to maintain a unified brand presence while building trust and credibility with their audience. With this extensive array of functionalities, Tinify CDN stands out as a vital resource for any website aiming to elevate its performance and enhance the overall user experience, ultimately driving greater engagement and satisfaction.

Engineering teams that adopt OpenTelemetry often hit the same wall: instrumentation is standardized, but the backend receiving it is not. Dash0 was built to close that gap. Every signal, whether a trace, a log record, a metric, or the resource emitting it, is stored against OpenTelemetry semantic conventions and correlated automatically. A request that ran long can be examined next to the log lines it produced and the pod it ran on, with no manual joins and no hopping between products. Ingestion happens through a standard OTLP endpoint. Nothing proprietary gets deployed, and existing instrumentation keeps working untouched. Because the wire format is open, data can be redirected to a different destination later without changes to application code. Prometheus users are treated as first-class. Full PromQL is supported, existing recording and alerting rules carry over, and Grafana dashboard definitions import directly. Cluster-level collection is handled by a dedicated Kubernetes operator covering workloads, nodes, and control plane components. Visualization runs on Perses, with dashboard, check, and alert definitions expressed declaratively and kept under version control. Investigations start broad and get narrow: heatmaps expose the shape of a latency distribution, then filters on high-cardinality attributes isolate the affected requests. Machine learning is applied to telemetry during processing rather than surfaced as a chatbot. Log AI assigns severity to records that arrive without it, discovers recurring patterns, and clusters similar entries, turning noisy third-party output into something queryable. For failing requests, the SIFT methodology structures the path from symptom to root cause. Consumption stays transparent throughout. Teams can identify which services, attributes, and log volumes are responsible for their bill and reduce them at the source, before the invoice arrives.

Scandit empowers employees, clients, and enterprises by offering valuable insights and automating comprehensive processes. Their Smart Data Capture platform excels at swiftly and accurately gathering information from barcodes, text, IDs, and various objects. In the realm of retail, Scandit enhances the efficiency of store associates, allowing them to automate tasks and minimize repetitive duties, both in customer-facing areas and behind the scenes. This technology equips smart devices to optimize order fulfillment and streamline store operations, ultimately allowing associates to focus more on customer engagement, which fosters loyalty. For shoppers, Scandit enriches the in-store experience by merging the advantages of online and physical retail. Customers can access product information, bypass long lines through mobile self-scanning, and receive tailored offers via augmented reality directly on their smartphones. In the postal and parcel industry, Scandit transforms end-to-end operations, boosting efficiency and productivity. It facilitates the use of smart devices to simplify and automate essential tasks such as van loading, proof of delivery, and pick-up/drop-off workflows. When it comes to air travel, Scandit significantly reduces operational costs and the time required for passenger handling by enabling mobile scanning of boarding passes, passports, and luggage tags, thus streamlining the overall travel process. This not only improves the efficiency of airport operations but also enhances the passenger experience.

Code Effects is an enterprise-grade decision automation and management platform built for the .NET ecosystem. It uses a unique, high-performance business rules engine that allows organizations to define and evaluate logic in a human-readable format. The platform includes a modern, web-based rule editor that empowers non-technical users to manage complex rules without writing code. Code Effects relies on an in-house lambda expression engine to deliver lightning-fast rule evaluation at scale. Rules can be reused across multiple applications and rule sets, reducing duplication and maintenance effort. The engine integrates seamlessly into existing .NET projects as assemblies, eliminating complex deployment and security concerns. Its architecture supports flexible configurations where rule management and evaluation can run together or separately. Code Effects was designed to remove the need for rigid decision tables and technical rule formats. Built-in validation, dynamic help, and advanced logic support improve accuracy and usability. The platform is thread-safe and capable of processing millions of evaluations in milliseconds. With a one-time perpetual license, organizations avoid ongoing costs and vendor lock-in. Overall, Code Effects provides a scalable, user-centric solution for automating decision logic across enterprise systems.

TierDeveloper functions as a code generator tailored for object-relational mapping within the .NET framework, enabling users to effortlessly connect business and data objects with relational tables while incorporating SQL and stored procedure calls directly within these objects, ultimately producing fully operational code in C# or VB.NET. By dramatically decreasing development time, this tool allows projects that might usually take weeks or months to be accomplished in just a few days, while also improving code quality through the generation of standardized code that can be utilized across the entire application and even in various projects. Although TierDeveloper has primarily focused on generating business and data objects, developers have typically needed to manually create graphical user interfaces (GUIs) and call these objects due to the highly tailored nature of GUIs, which rendered them less suitable for straightforward code generation. The introduction of .NET 2.0 and its Custom Controls Framework has transformed this landscape, making rapid GUI development not only feasible but also highly effective, allowing TierDeveloper to support swift GUI design that aligns seamlessly with the generated business and data objects. As a result, developers can now experience a more integrated and efficient workflow, boosting productivity and simplifying the complexities involved in application development. This evolution marks a significant step forward, as it empowers developers to focus more on functionality and user experience rather than getting bogged down in the intricacies of GUI design.