Andrej Karpathy is right: the biggest AI capability gap is not between people who write better prompts. It is between workflows with durable context and workflows that still force models to start from zero.

Most ChatGPT Plus users never touch Codex. DocMason turns that unused capacity into a local, evidence-first knowledge base for decks, spreadsheets, PDFs, and emails on Mac.

Most AI code review tools generate 10-20 comments per PR. The problem? 80% are noise. Here's a framework for measuring signal-to-noise ratio in code reviews - and why it matters more than you think.

How LlamaPReview's repository-wide context analysis caught a production-breaking bug that human reviewers missed—and why the future of code understanding lies in graph-based RAG.