almogbaku
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I've spent the past few years building 50+ AI agents in prod (some reached 1M+ sessions/day), and the hardest part was never building them — it was figuring out why they fail. AI agents don't crash. They just quietly…
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Coding agents debug like a junior dev in 2005: they spam print() and loop until the bug disappears or eats your context window. TL;DR: I gave my agent a debugger and saw it go from 5-6 print-debug cycles down to 1…
- Compile ML engineering to production code (github.com)
- Effective AI Infrastructure or Why Feature Store Is Not Enough (towardsdatascience.com)