Devgen
Devgen is a codebase research assistant that helps you read large codebases with ease. Quickly get precise answers, with relevant code references, to verify the information you need. Effortlessly bring GitHub issues into your chat. Simply right-click on any issue page, choose "add to chat," and the issue is instantly set up for discussion. Quickly access the issue’s related code and pull requests. Effortlessly draft and discuss solutions for the issue directly in the chat. Learn about the pull request with natural language. Use natural language to review pull requests. Devgen is an AI assistant designed to provide deep insights into your GitHub repository by analyzing code, issues, pull requests, and releases. Accessible as a Chrome extension, it integrates directly with GitHub, allowing for seamless, side-by-side interaction as you work.
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Bito
Bito uses AI to streamline code reviews, making them faster and more consistent. The AI Code Review Agent understands the broader codebase and delivers precise, context-aware suggestions on pull requests.
Engineering teams rely on Bito to speed up review cycles, catch regressions early, and improve code quality. It integrates with GitHub, GitLab, and Bitbucket, and installs with a single click.
No code is stored, and no models are trained on your data.
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Charlie
Charlie Labs offers Charlie, an AI-powered autonomous engineering assistant that helps software teams ship code faster by automating coding tasks, pull request reviews, bug fixes, feature implementation, and other development work directly within existing workflows. Charlie integrates seamlessly with tools developers already use, such as GitHub, Slack, Linear, Sentry, and Vercel, and operates where work happens by listening for events like pull requests or mentions, then generating high-quality TypeScript code, opening or updating branches, and creating pull requests with clean commits and passing tests without manual intervention. It can catch bugs, provide actionable inline feedback, produce feature code and refactor from issue descriptions, and respond to natural language requests within team communication tools so engineers can focus on strategy and design instead of repetitive implementation tasks.
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Palmier
Palmier lets you trigger AI agents from GitHub events to generate merge‑ready pull requests that fix bugs, write documentation, and review code without manual intervention. By connecting GitHub or Slack triggers, such as pull request opens, updates, merges, or issue labels, to prebuilt or custom agents, you can auto‑implement features, run security scans, refactor code, generate tests, and update changelogs in parallel, all within isolated sandboxes that never store your code or use it for model training. With drag‑and‑drop‑style integrations for GitHub, Slack, Supabase, Linear, Jira, Sentry, AWS, and more, Palmier delivers real‑time, ready‑to‑merge PRs with 45 percent lower review latency and unlimited parallel runs. Its MIT‑licensed agents operate in secure, ephemeral environments under your permission controls, ensuring full data privacy and compliance with your workflow.
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