Deep dives on building AI agents that actually ship — the real problems startups hit between a clean demo and real users, and how they're solving them. Claude Code internals, production LLM patterns, and the stuff that breaks in production.
Most multi-turn RAG chatbots work like this: append each turn to a message list, send the whole thing, let the model sort it out. Splitting them is a small change with a measurable payoff.
The biggest speedup in local inference is one you never turned on
To work through your prompt, attention compares every token with every other token. A thousand tokens means a thousand-by-thousand grid of comparisons. Flash attention just refuses to build the grid.