AI
Decision Models, Jev and Kev
Jev returns probabilities instead of text. Its confidence is arithmetic, not learned, and calibration belongs to the distribution, not the model.
Harness (Systems) Engineering
After prompts gave way to context engineering, what comes next? Anthropic engineering points to harness design, evals, and containment.
How to Save AI Tokens
Measure AI coding token costs with a React POC and cut them using prompt caching, subagents, lean MCP, context engineering, and Cursor Composer.
How Tokens Work
How BPE creates tokens, embeddings feed LLMs, prefill and decode shape pricing, and KV cache and prompt caching reduce repeated-input costs.
AI Agent Tools
A practical map of AI coding agent tools: CLAUDE.md vs AGENTS.md vs SKILL.md, how MCP and Serena work, code intelligence, and GitHub Trending.
The AI Frontend Engineer
How frontend engineers grow when AI writes the code: new skills in verification, specification, and judgment, drawn from Karpathy, Vercel v0, and METR.