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AmpAmp by Sourcegraph is an innovative agentic coding platform that empowers developers to write better software faster through autonomous AI-driven reasoning and editing capabilities. Utilizing state-of-the-art AI models, Amp automates complex coding tasks, producing high-impact, production-quality code changes with minimal manual intervention. It integrates natively with developer environments, offering a command-line interface and VS Code extension so users can work in familiar tools without needing a separate UI. Collaboration is built-in: team members automatically share code threads, workflows, and context, enabling knowledge reuse and collective improvement. The platform scales effortlessly from individual contributors to the largest enterprises, incorporating enterprise-grade security measures such as SSO, data privacy, and strict LLM data retention policies. Users consistently report that Amp outperforms other AI coding assistants in accuracy, speed, and ease of use. Sourcegraph supports its community with rich documentation, podcasts like Raising an Agent, and a responsive support forum. Amp’s focus on quality coding assistance rather than commodity solutions is a key differentiator. The platform aims to revolutionize software development by automating routine tasks while preserving developer control and creativity. With its continuous updates and commitment to excellence, Amp is accelerating how teams build software worldwide.
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TrustInSoft AnalyzerTrustInSoft has developed a source code analysis tool known as TrustInSoft Analyzer, which meticulously evaluates C and C++ code, providing mathematical assurances that defects are absent, software components are shielded from prevalent security vulnerabilities, and the code adheres to specified requirements. This innovative technology has gained recognition from the National Institute of Standards and Technology (NIST), marking it as the first globally to fulfill NIST’s SATE V Ockham Criteria, which underscores the significance of high-quality software. What sets TrustInSoft Analyzer apart is its implementation of formal methods—mathematical techniques that facilitate a comprehensive examination to uncover all potential vulnerabilities or runtime errors while ensuring that only genuine issues are flagged. Organizations utilizing TrustInSoft Analyzer have reported a significant reduction in verification expenses by 4 times, a 40% decrease in the efforts dedicated to bug detection, and they receive undeniable evidence that their software is both secure and reliable. In addition to the tool itself, TrustInSoft’s team of experts is ready to provide clients with training, ongoing support, and various supplementary services to enhance their software development processes. Furthermore, this comprehensive approach not only improves software quality but also fosters a culture of security awareness within organizations.
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AnalyticsCreatorAccelerate your data initiatives with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, and blended modeling strategies that combine best practices from across methodologies. Seamlessly integrate with key Microsoft technologies such as SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline generation, data modeling, historization, and semantic model creation—reducing tool sprawl and minimizing the need for manual SQL coding across your data engineering lifecycle. Designed for CI/CD-driven data engineering workflows, AnalyticsCreator connects easily with Azure DevOps and GitHub for version control, automated builds, and environment-specific deployments. Whether working across development, test, and production environments, teams can ensure faster, error-free releases while maintaining full governance and audit trails. Additional productivity features include automated documentation generation, end-to-end data lineage tracking, and adaptive schema evolution to handle change management with ease. AnalyticsCreator also offers integrated deployment governance, allowing teams to streamline promotion processes while reducing deployment risks. By eliminating repetitive tasks and enabling agile delivery, AnalyticsCreator helps data engineers, architects, and BI teams focus on delivering business-ready insights faster. Empower your organization to accelerate time-to-value for data products and analytical models—while ensuring governance, scalability, and Microsoft platform alignment every step of the way.
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WindocksWindocks offers customizable, on-demand access to databases like Oracle and SQL Server, tailored for various purposes such as Development, Testing, Reporting, Machine Learning, and DevOps. Their database orchestration facilitates a seamless, code-free automated delivery process that encompasses features like data masking, synthetic data generation, Git operations, access controls, and secrets management. Users can deploy databases to traditional instances, Kubernetes, or Docker containers, enhancing flexibility and scalability. Installation of Windocks can be accomplished on standard Linux or Windows servers in just a few minutes, and it is compatible with any public cloud platform or on-premise system. One virtual machine can support as many as 50 simultaneous database environments, and when integrated with Docker containers, enterprises frequently experience a notable 5:1 decrease in the number of lower-level database VMs required. This efficiency not only optimizes resource usage but also accelerates development and testing cycles significantly.
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Global App TestingGlobal App Testing (GAT) offers technology teams the opportunity to conduct tests across more than 189 countries, utilizing a network of over 60,000 skilled testers who operate on authentic devices and within genuine environments. By utilizing the GAT platform, you can enhance your testing procedures and boost the quality and speed of your releases while simultaneously improving budget efficiency, as the platform is designed to integrate smoothly with your current DevOps or CI/CD systems. Whether your needs involve continuous QA support or managing fluctuations in your release schedules, GAT’s integration-centric strategy allows you to oversee your entire testing process, from initiating tests to analyzing results, all without departing from your usual tools like Github, Jira, or Testrail. Our comprehensive platform supports both unscripted exploratory testing and scripted functional test case execution, seamlessly integrating into your CI/CD and SDLC workflows, thus aligning perfectly with your automation testing solutions. Results are delivered in real time, with initial feedback available in as little as 15 minutes, followed by a detailed bug report within a few hours, facilitating rapid responses to critical issues and edge cases, which ultimately leads to a more efficient development cycle. This approach not only streamlines your testing efforts but also aligns with your overall project goals, ensuring that you remain agile in a fast-paced technological landscape.
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MuukTestIt's clear that enhancing your testing efforts could help identify bugs sooner, yet effective QA testing often demands significant time, effort, and resources. With MuukTest, engineering teams can achieve up to 95% coverage of end-to-end tests in a mere three months. Our team of QA specialists is dedicated to creating, overseeing, maintaining, and updating E2E tests on the MuukTest Platform for your web, API, and mobile applications with unparalleled speed. After reaching 100% regression coverage within just eight weeks, we initiate exploratory and negative testing to discover bugs and further elevate your testing coverage. By managing your testing frameworks, scripts, libraries, and maintenance, we significantly reduce the time you spend on development. Additionally, we take a proactive approach to identify flaky tests and false results, ensuring that your testing process remains accurate. Consistently conducting early and frequent tests enables you to catch errors during the initial phases of the development lifecycle, thus minimizing the burden of technical debt in the future. By streamlining your testing processes, you can improve overall product quality and enhance team productivity.
What is CodeScene?
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 CodeHealthâ„¢ 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.
What is Checkov?
Ensure that modifications are validated across a variety of resource types supported by major cloud service providers. During the build phase, utilize a simple Python policy-as-code framework to conduct scans of cloud resources aimed at identifying any misconfigurations. Leverage Checkov’s graph-oriented YAML policies to investigate the interconnections among cloud resources. Within the specific context of a repository's CI/CD processes and version control systems, execute, test, and fine-tune runner parameters. Tailor Checkov to develop your own distinct policies, providers, and suppression terms that align with your needs. By integrating this validation process into the developers' existing workflows, you can effectively prevent the deployment of misconfigurations. Enable automated comments on pull or merge requests in your repositories, thereby negating the necessity for establishing a CI pipeline or conducting periodic checks. The Bridgecrew platform is designed to automatically assess new pull requests, offering feedback that points out any policy violations it detects, which is crucial for maintaining continuous compliance and enhancing security within your cloud infrastructure. This proactive methodology significantly contributes to upholding best practices while simultaneously fortifying the overall security framework of your cloud environment. Regularly reviewing and refining these practices will ensure long-term resilience against potential vulnerabilities.
Integrations Supported
Bitbucket
GitHub
Jenkins
Python
Terraform
Amazon Web Services (AWS)
Archipelo
CycloneDX
Enso
GitHub Student Developer Pack
Integrations Supported
Bitbucket
GitHub
Jenkins
Python
Terraform
Amazon Web Services (AWS)
Archipelo
CycloneDX
Enso
GitHub Student Developer Pack
API Availability
Has API
API Availability
Has API
Pricing Information
€18 per active author/month
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
CodeScene
Date Founded
2015
Company Location
Sweden
Company Website
codescene.com
Company Facts
Organization Name
Prisma Cloud
Date Founded
2019
Company Location
United States
Company Website
www.checkov.io
Categories and Features
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development
Source Code Management
Access Controls/Permissions
Bug Tracking
Build Automation
Change Management
Code Review
Collaboration
Continuous Integration
Repository Management
Version Control
Static Code Analysis
Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management
Categories and Features
Static Code Analysis
Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management