First-hand engineering write-ups on building AI-native development workspaces, runtime sandbox isolation, autonomous state recovery, and empirical model benchmarks.
How progressive disclosure, opinionated design variance dials, and token-efficient separation of concerns give coding agents superior frontend craftsmanship, technical SEO, and production release verification.
Conversations are temporary; the repository is durable memory. How ContextOS preserves PRDs, decisions, status, and handoffs across Claude Code, Codex, and context compaction using a portable .context/ protocol.
Lessons from building CraftCode's multi-agent execution harness: deterministic tool orchestration, sandboxed runtime isolation, state recovery, and avoiding brittle autonomous loops.
How to safely let LLMs execute bash, edit files, and launch dev servers without risking host compromise, infinite network loops, or accidental data loss.
A rigorous evaluation of small open-weight coding models on multi-file code navigation, AST manipulation, and edge-case test generation.