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CallMed AI — Autonomous Python codebase audits
Two autonomous agents for Python codebases: Symbiote adds PEP 484 type annotations as a reviewable PR. Patchward scans for security vulnerabilities, generate...
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83 % |
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LintCat — code review for people and agents
LintCat indexes your repository and reviews every pull request against it, and gives your coding agent the same insight over MCP.
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81 % |
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DACIP: the PR gate that proves it
AI reviewers have opinions. DACIP has proof. It reads both sides of your pull request and catches the frontend calls your backend change breaks, with a repro...
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81 % |
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LintCat — code review for people and agents
LintCat indexes your repository and reviews every pull request against it, and gives your coding agent the same insight over MCP.
|
81 % |
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Codeproof — AI reviewer that runs your code before humans waste time
Runtime-verified PR review for Python teams. Clones your PR, runs tests, checks security, posts evidence. Private beta.
|
80 % |
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Higharch 5 — Where the elite build.
Connect a GitHub repo and a team of AI specialists audits security, scalability, SEO, and production readiness — then opens a pull request with the fixes.
|
80 % |
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PullMatch — Swipe to Ship
Swipe right to approve pull requests, left to reject. AI code review for vibe coders who ship without reading diffs. Powered by Permission Protocol.
|
80 % |
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DeepDoc — Engineering docs your team will actually read
DeepDoc generates evidence-grounded engineering docs from your codebase: architecture, endpoints, integrations, plus a chatbot that answers from source.
|
80 % |
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CodeMate
AI code reviews on every pull request.
|
80 % |
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AI Agent Coder — Autonomous coding agent for complex tasks
AI Agent Coder plans, writes, tests, and ships code autonomously. Give it a task, review the PR.
|
80 % |
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Otta — Delivery control for coding agents.
Otta gives Claude Code and Codex a disciplined path from issue to verified release, with specialist review stages and Pulse-enforced GitHub evidence.
|
80 % |
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ReviewGate — self-hosted AI code review for GitLab and GitHub
Free self-hosted AI code review. Your coding agent is reviewed by your team's standards — in the editor, at the pre-push hook and on the pull request.
|
80 % |
|
InPipe — the project tracker that ships the work
A Linear-style tracker with an AI delivery layer: agents pick up your cards, write the code, run your tests, and open a PR. Bring your own AI — MCP, your API...
|
80 % |
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CodeGate — Agentic code review for GitHub
Most AI reviewers read your diff. CodeGate investigates the repository around it — and reviews every pull request against your project's own rules, not gener...
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80 % |
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Rolly Calma — Python Developer & AI Automation Builder
Portfolio of Rolly Calma, a Python developer building AI automation, local LLM tools, and open-source fixes in high-impact contributed-to repos.
|
80 % |
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CodeNib: Understand a Repo. Follow the Code.
Explore how a repository works, follow real calls to their source, and keep going with a complete Wiki. Try the interactive example without an account.
|
80 % |
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Threads AI: agents on an append-only event log
An agent framework for TypeScript and Python, built on an append-only event log.
|
80 % |
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PureAgile — Product management for teams shipping with AI coding agents
PureAgile keeps your specs and your code in sync. Trace every requirement from PRD to pull request, catch drift when an agent builds something you didn't ask...
|
79 % |
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AI Code Review for Solo Developers and Small Teams | CodePeel
Review code across GitHub pull requests, VS Code and MCP with CodePeel. Find potential bugs and security issues, inspect findings and review suggested fixes.
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79 % |
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AI Code Review for Teams · Start for Free | Sourcery
Sourcery reviews every pull request in GitHub and GitLab: bug findings, summaries, one-click fixes and security scanning. Free for open source, 14-day trial.
|
79 % |
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