Prompt engineering tunes what you ask. Context engineering decides what the model sees at all. Where my agents kept dying on long runs, and the…
Real LLM hallucination examples from my own apps, why retrieval doesn't fully fix them, and the cheap code checks I run to catch made-up answers…
A new paper on autonomous programming found that separating code generation from debugging across models nearly doubled solved problems. Here's the takeaway.
A smarter model still writes the same broken first draft. What actually moved my output was wrapping a cheaper model in a feedback loop that…
I spent a month running local LLMs on my own GPU instead of an API. Here is where self-hosted models earned their place, and where…
After two years of running RAG in production, here are the chunking strategies I actually use, the ones I dropped, and why chunk size is…
A new attack exploits the fact that most LLM safety layers evaluate turns in isolation. Here's what the Transient Turn Injection result means for anyone…
Why LLMs fail at spatial tasks isn't always about model size. The input format matters more than you'd expect, and here's what to do about…
New numbers on iterative LLM self-repair: where extra tries earn their keep, where they quietly waste tokens, and the retry loop I'll actually defend.
A new paper tested 8 reasoning models with 14 formatting perturbations. Open-weight models lost up to 55% accuracy. Here's what that means for production use.