Gemini Code Assist
Increase software development and delivery velocity using generative AI assistance, with enterprise security and privacy protection.
Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in many popular IDEs, such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Java, JavaScript, Python, C, C++, Go, PHP, and SQL.
Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs.
Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance.
Gemini Code Assist enables large-scale changes to entire codebases.
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SonarQube Cloud
Maximize your throughput and only release clean code SonarQube Cloud (formerly SonarCloud) automatically analyzes branches and decorates pull requests. Catch tricky bugs to prevent undefined behavior from impacting end-users. Fix vulnerabilities that compromise your app, and learn AppSec along the way with Security Hotspots. With just a few clicks you're up and running right where your code lives. Immediate access to the latest features and enhancements. Project dashboards keep teams and stakeholders informed on code quality and releasability. Display project badges and show your communities you're all about awesome. Code Quality and Code Security is a concern for your entire stack, from front-end to back-end. That’s why we cover 24 languages including Python, Java, C++, and many others. Transparency makes sense and that's why the trend is growing. Come join the fun, it's entirely free for open-source projects!
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Kodus
Kodus is an open source AI-powered code review platform built around an intelligent agent named Kody that integrates directly with Git workflows such as GitHub, GitLab, Bitbucket, and Azure DevOps to help engineering teams automate and improve the quality of their code reviews. Kody analyzes every pull request with deep context-awareness, learning a team’s codebase, architecture, workflows, coding standards, and business rules so it can deliver precise feedback on quality, security, performance, and style rather than generic suggestions. Teams can define custom review rules in natural language or choose from a library of production-tested rules to enforce best practices and consistent standards, with the flexibility to select and run any AI model via their own API keys. Kodus turns unimplemented suggestions into tracked issues, helps monitor technical debt, and offers actionable insights without introducing noise, supporting over 30 programming languages.
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Mesrai
Mesrai is a multi-agent AI code review platform for engineering teams. Five specialist agents (Bug, Security, Performance, Architecture and a team Playbook agent) review every pull request, backed by a graph of your codebase that traces the impact of each change across monorepos and multiple repositories. Reviews are posted inline with severity rankings and suggested fixes, and Mesrai also tracks DORA metrics for engineering health. Bring your own LLM key and pay your provider directly. Reviews run in ephemeral sandboxes and your code is never used for training. Available with a VS Code extension, a CLI and MCP plugins.
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