Here's something I've been thinking about while building AI systems:
Developers are obsessed with testing code.
We write unit tests.
Integration tests.
End-to-end tests.
Here's something I've been thinking about while building AI systems: Developers are obsessed with...
Developers test code obsessively but treat AI as 'tried it, works.' Production AI needs evaluation sets measuring retrieval, prompt, context. Evaluation is the missing layer separating demos from reliable systems and enabling improvement tracking for stack decisions vs guessing.
Here's something I've been thinking about while building AI systems:
Developers are obsessed with testing code.
We write unit tests.
Integration tests.
End-to-end tests.

Writing code is only half the job. The other half is proving that it behaves the way you think it...

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AI agents are making software development faster. That is great. But there is a problem I do not...

AI is great at writing tests fast, and good at writing tests that look real but verify the wrong...