If you're building applications that rely on large language models (LLMs), you've probably felt the sting of API costs. OpenAI's GPT-4 is incredibly capable, but at $30+ per million input tokens, it c
Why generic prompts fail and how a structured repository 'harness'—inspired by Andrej Karpathy's coding practices—can push coding agent accuracy to new levels.
Copilot metering, Responses API, Anthropic Fable/Mythos, NVIDIA local AI boxes, and what this means if you want to run serious AI coding tools on infrastructure you control.
A follow-up to "What's left when the machine writes the code" In my last piece I argued that even as...