Chapter

Port these habits to any model, so this outlasts today's models (Opus / GPT / Gemini)

Convergent traits make this guide generalize: literal instruction-following (specificity + positive framing pay off everywhere), over-engineering risk (constrain scope), longer autonomous horizons + self-verification (invest in the bar), bigger context (manage by signal).

The mechanisms here (/effort, ultracode, dynamic workflows, hooks, CLAUDE.md, Skills, MCP) are Claude Code's; other harnesses expose analogues. Port the principle, swap the syntax.