JetBrains Junie
Junie, the AI coding agent by JetBrains, revolutionizes the way developers interact with their code by embedding intelligent assistance directly into JetBrains IDEs like WebStorm, RubyMine, and GoLand. Designed to fit naturally into developers’ existing workflows, Junie helps tackle both small and ambitious coding tasks by providing tailored execution plans and automated code generation. It combines the power of AI with IDE capabilities to perform code inspections, syntax checks, and run tests automatically, maintaining code quality without manual intervention. Junie offers two distinct modes: one for executing code tasks and another for interactive querying and planning, allowing developers to seamlessly collaborate with the agent. Its ability to comprehend code relationships and project logic enables it to propose efficient solutions and reduce time spent on debugging. Developers from various fields, including game development and web design, have showcased impressive projects built entirely or partly with Junie’s assistance. The tool supports multi-file edits and integrates version control system (VCS) assistance, making complex refactoring easier and safer. JetBrains offers multiple pricing plans tailored to individuals and organizations, ranging from free tiers to premium AI Ultimate for intensive daily use. By handling repetitive coding chores, Junie frees developers to focus on the creative and strategic aspects of software development. Overall, Junie stands as a powerful AI companion transforming traditional coding into a smarter, more collaborative experience.
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ZeroPath
ZeroPath is the AI-native SAST that finds vulnerabilities traditional tools miss. We built it because security shouldn't overwhelm developers with noise.
Unlike pattern-matching tools that flood you with false positives, ZeroPath understands your code's intent and business logic. We find authentication bypasses, IDORs, broken auth, race conditions, and business logic flaws that actually get exploited and missed by traditional SAST tools. We auto-generate patches and pull requests that match your project's style.
75% fewer false positives, 200k+ scans run per month, and ~120 hours saved per team per week. Over 750 organizations use ZeroPath as their new AI-native SAST.
Our research has uncovered critical vulnerabilities in widely-used projects like curl, sudo, OpenSSL, and Better Auth (CVE-2025-61928). These are the kinds of issues off-the-shelf scanners and manual reviews miss, especially in third-party dependencies.
ZeroPath is an all-in-solution for your AppSec teams:
1. AI-powered SAST
2. Software Composition Analysis with reachability analysis
3. Secrets detection and validation
4. Infrastructure as Code scanning
5. Automated PR reviews
6. Automated patch generation
and more...
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Aardvark
Aardvark functions as an independent security research agent, equipped with sophisticated capabilities that allow it to replicate the role of a human security researcher. It systematically analyzes source code repositories, develops threat models, inspects commits for possible vulnerabilities, tests for exploitability in controlled environments, and proposes specific patches for further human assessment. Unlike traditional tools that rely primarily on methods such as fuzzing or software composition analysis, Aardvark employs a reasoning pipeline based on a large language model to examine code behavior, and it integrates effortlessly with existing developer workflows, including platforms like GitHub and code review systems, while also utilizing Codex for patch generation. This agent boasts a wide array of features, such as the ability to perform scans on entire repositories upon initial setup, followed by detailed commit-level evaluations, automated patch creation and validation, along with annotations for human review for each identified issue. Encouraging preliminary outcomes from internal testing at OpenAI reveal that Aardvark achieves a remarkable detection recall rate of 92% when tested on repositories with either known or artificially generated vulnerabilities. As Aardvark continues to develop, it promises to greatly transform the security landscape, equipping developers with robust tools for proactive threat management and fostering a culture of security awareness in software development processes. Its ongoing enhancements could lead to even greater effectiveness in identifying and mitigating potential security threats.
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GitHub Copilot
Meet your AI coding assistant: GitHub Copilot, which offers suggestions for entire lines or complete functions directly in your coding environment. By leveraging billions of lines of publicly available code, GitHub Copilot guarantees that vital knowledge is at your fingertips, enabling you to conserve precious time and maintain focus. Currently available as an extension for Visual Studio Code, it integrates effortlessly on both your local system and in the cloud through GitHub Codespaces. Its ability to provide real-time suggestions as you type enhances your coding efficiency. Supporting a diverse range of frameworks and programming languages, the technical preview is particularly proficient in Python, JavaScript, TypeScript, Ruby, and Go, while also accommodating many other languages. With GitHub Copilot, you retain full control over your coding journey, allowing you to explore various suggestions, choose which to implement or ignore, and modify the code as needed. Furthermore, GitHub Copilot adapts its recommendations according to your individual coding style, ensuring a more tailored programming experience. This groundbreaking tool significantly boosts developers' productivity and creativity, transforming the way coding tasks are approached. In an era where efficiency is paramount, GitHub Copilot stands out as a revolutionary ally for programmers.
GitHub Coding Agent is seamlessly embedded within GitHub, and developers can assign it tasks via GitHub issues or prompts in VS Code. Once assigned, the agent uses GitHub Actions to create a secure and fully customizable development environment to execute its tasks. As it works, the agent pushes commits to a draft pull request, and developers can track the entire process through detailed session logs that showcase its reasoning and validation steps.
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