![[D] Are there REAL success stories of autonomous AI dev agents working reliably in production?](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-neon-city-2w33SuwcsnWuDuoFQKbX5t.webp)
[D] Are there REAL success stories of autonomous AI dev agents working reliably in production?
I’m having a serious debate with a colleague, and I want to settle this with actual evidence instead of opinions. The claim: That it’s possible today to run orchestrated AI developer agents (multiple agents, coordinated workflows) that can autonomously build and maintain software — under supervision of a senior AI/dev — without running into unfixable errors or constant breakdowns. I’m skeptical. He believes it’s already happening. So I’m looking for real-world examples, not theory: - Have you actually used autonomous dev agents in production? - What was the setup? (tools, stack, orchestration method) - What level of autonomy are we talking about? - What still breaks? - Did it scale beyond small experiments or toy projects? Especially interested in: - Multi-agent setups (not just Copilot-st
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