4 articles tagged with Production AI
AGI hype vs production reality. How keynotes promise conscious autonomous generalists while engineering teams ship narrow, deterministic, rule-bounded SLM microservices.
You can't set a breakpoint on a model's reasoning. Here's what actually works for figuring out why an agent did what it did, after the fact, from a trace instead of a stack.
Unit tests don't work on non-deterministic outputs. Here's how to build an evaluation pipeline that catches regressions in an LLM app the same way a test suite catches them in ordinary code.
Prompt engineering optimizes a single string. Context engineering optimizes everything the model sees across an entire agent run — and it's the discipline that actually determines whether your agent works in production.