Git11 is a DevOps intelligence tool that connects to your GitHub repo and analyzes every commit automatically. When you push code, AI scans it for bugs, security issues, and risky patterns in real time. You see the results on a live dashboard with plain English explanations and suggested fixes before anything goes to production. Built for indie developers and small teams who need the insight of a senior engineer without the headcount. Free to start.
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Hey PH! 👋 I'm Om, the builder behind git11.
The frustration was simple - I kept finding bugs after deploying, not before. Every tool I used was reactive. Linters, CI pipelines they all tell you what broke, not what's about to break.
So I built git11. It connects to your GitHub repo and runs continuous AI analysis on every commit - flagging issues, explaining them in plain English, and suggesting fixes in real-time.
V1 is live today. Would love brutal feedback from this community.
What I used: GitHub API + Supabase + Lovable
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Maker
Two weeks since launch. Quick update for anyone following git11.
What changed: added email notifications for org invites and API key creation, improved AI output accuracy with validation layers, shipped audit logs, API key management, and a referral system.
What I learned: engineers care about accuracy over speed. A doc that generates in 30 seconds but contains wrong function names is worse than no doc at all. Most of the recent work has been on making the output trustworthy, not faster.
What is next: better Q&A accuracy on large repositories, monitoring alerts, pricing tiers.
If you tried git11 early and had issues with accuracy, worth trying again. Significant improvements in the last month.
git11.xyz
Hey PH! 👋 I'm Om, the builder behind git11.
The frustration was simple - I kept finding bugs after deploying,
not before. Every tool I used was reactive. Linters, CI pipelines
they all tell you what broke, not what's about to break.
So I built git11. It connects to your GitHub repo and runs continuous
AI analysis on every commit - flagging issues, explaining them in plain
English, and suggesting fixes in real-time.
V1 is live today. Would love brutal feedback from this community.
What I used: GitHub API + Supabase + Lovable