Our startup secret? 12 AI bots 🤖 ➗ 4 engineers 👨‍💻 3:1 We support thousands of integrations with just 4 devs using these services that our friends built. Here’s how we abuse 8 AI pull request bots for fun and profit. ...and why we’re never going back. 👇

1. TL;DR 🧠 We let 8 AI bots loose in our @openintdev PR flow. They write tests, review code, catch bugs, check visuals, and QA our staging env. We ship faster, break less, and sleep better. No, we’re never going back.

2. Why this works for us ⚡️ Most teams can’t justify this setup. We’re open-source, @ycombinator -backed, and tiny. That means free plans, generous founders, and zero red tape. Startups should exploit this window.

3. How we build at @openintdev 🔁 We practice continuous delivery with 4 full-stack engineers. Every PR gets: ✅ CI tests ✅ AI + manual code review ✅ Visual checks ✅ Team-owned quality No bottlenecks. Just flow. Here's how we maintain it:

4. Recurse 🧼 Recurse catches bugs AND gives architectural context. It’s like a staff engineer whispering, “hey, that’s gonna break SSR...” → recurse.ml/

5. Prophet 🔮 Prophet compares URLs, catches subtle bugs, and keeps routing tight. Next.js quirks? String mismatches? It spots them before we do. → try-prophet.com/

6. Ellipsis ✍️ Ellipsis reads every PR and writes summaries for us and our bots. It helps our changelogs, speeds up reviews, and improves understanding. It’s like an AI team lead that doesn’t sleep. → ellipsis.dev/

7. Greptile 🧬 Greptile is context-aware and finds sneaky logic bugs across files. It sees the forest and the trees. → greptile.com/