Your AI Agent Worked in the Demo. Here's Why It's Failing in Production.
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A few months ago, I watched a beautifully demoed AI agent go to production and quietly burn through a month's LLM budget in four days. It wasn't broken, exactly. It just never learned when to stop . That gap — between an agent that impresses in a demo and one you can actually own in production — is where I've spent the last couple of months as an engineering leader. And after enough postmortems, the failure modes start to rhyme. Here are the five I see most often, and what actually fixes them.…
1Key Takeaways
- A few months ago, I watched a beautifully demoed AI agent go to production and quietly burn through a month's LLM budget in four days.
- It just never learned when to stop .
- That gap — between an agent that impresses in a demo and one you can actually own in production — is where I've spent the last couple of months as an engineering leader.
- And after enough postmortems, the failure modes start to rhyme.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that a few months ago, I watched a beautifully demoed AI agent go to production and quietly burn through a month's LLM budget in four days.
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