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TryCase | Automated end-to-end testing for pull requests
Your AI QA agent tests each pull request end to end and reports bugs, verdicts, and supporting evidence on GitHub.
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83 % |
|
QAClan — browser and API regression, run on your machine
QAClan captures your browser flow and the API calls it fires, then replays both as one suite — on your machine, the same way every time.
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82 % |
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Reticle · Make your coding agent verify its own work
Make your coding agent verify its own work, and not by asking it. Reticle is AI app testing that runs inside your app: it walks the flow the way a user would...
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81 % |
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Trust what your AI writes - a deterministic check · doloop
AI writes your code and pulls your data - but can you trust it? doloop flags what it can prove, deterministically, the same verdict every run. Bring your own...
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80 % |
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Astryke — your projects remember themselves
Astryke keeps every project current so every connected AI session starts knowing where you left off and what you already decided. Your AI forgets. Astryke do...
|
80 % |
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Evident — Your coding agent, everywhere your team works
Your coding agent runs on your machine, where your code and tools already are. Reach it from Slack, GitHub and email — reviewing pull requests, fixing bugs,...
|
80 % |
|
praetom — Production intelligence for AI-generated code
A model of your codebase joined with your operational reality, queried by the agents that write your software.
|
80 % |
|
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 % |
|
perillo
Can’t keep up with the code your agents write? Perillo builds a deterministic map of your code and shows you what it actually does, so your team owns the cod...
|
80 % |
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Paidwen | Give AI agents access without giving up control
Control your AI agents' permissions, require approval for sensitive actions, set spending limits and review their activity in one place.
|
80 % |
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Hozu — An AI-first web framework
Invalid programs are hard to express. Valid programs are cheap to verify.
|
79 % |
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Rehearsal, know what works before you ship
Describe the flows your users rely on. Rehearsal tests them on web, mobile and desktop, from local development to CI.
|
79 % |
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CONXA
Do the process once. Conxa turns a cross-system business process into a self-healing skill your AI agents run reliably — locally, on software nobody has to m...
|
79 % |
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Aether: Not a black box. A devbox.
Run Claude Code, Codex, and OpenCode in isolated cloud devboxes you can watch, steer, SSH into, and verify. Your provider account covers the model; Aether ch...
|
79 % |
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Fhorja: an open-source workflow for AI coding agents
Fhorja is an open-source workflow that AI coding agents follow. The agent can run a whole task on its own, up to a draft pull request, and every decision sta...
|
79 % |
|
QAce — an AI QA engineer for every pull request
QAce maps your web app, writes end-to-end tests in plain English, drives them in a real browser, heals selectors when the UI moves, and gates every pull requ...
|
79 % |
|
Review Assist: free AI code review MCP server for GitHub
Review AI-written code as fast as agents write it. Review Assist is a free, open-source MCP server that turns a coding agent's session into an Intent Documen...
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79 % |
|
deploylist — the pre-deployment checklist your coding agent reads
AI can write an application in an afternoon, mistakes included. deploylist is what should be true before software goes live: one checklist per stack, at fixe...
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79 % |
|
Boson: adversarial code review, on demand
Comment @useboson review on a pull request and Boson runs one deliberate, adversarial review pass with quoted evidence and a downstream execution path. It ne...
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79 % |
|
g1t · Where your team's code lands
Repositories, pull requests, required checks, a merge queue and deployments, with chat for your team. Connect the coding agents you already use through MCP a...
|
79 % |
Detected social media networks