I built an AI dev pipeline and ran it live on my side project.
The Irfrit Loop: ticket comes in → AI writes the code → two independent AI reviewers tear it apart → auto-fix → re-review → QA screenshots → I click merge.
Today's run: 7 tickets, 5 PRs merged in ~2 hours. My only job...
What a morning of building with AI agents looks like:
• 1 PDF pagination bug fixed and deployed
• 4 images generated via Gemini API (Nano Banana 2)
• 1 legal audit across 36 files
• 1 real dashboard screenshot with seeded data
• 3 agents running simultaneously
262k tokens. 5 novels of context. But here is what nobody is asking...
DeepSeek recently dropped a coding assistant with a 262k token context window. Impressive? Sure. Useful? That depends. More context does not mean better code. It means more room for the AI to get lost in...