Claude Code

Automating the bottleneck means finding the constraint that sets your pace and pointing Claude at it: four working rules distilled from Anthropic's own engineers.

AI Firmware is a boot layer of kernel rules, installable skills, and committed memory that makes every new agent repo start senior instead of relearning old lessons.

Your limit is a compute budget: tokens consumed times the model that reads them. Audit where a session spends, trim the context every chat preloads, and send grunt work to cheaper models so the budget lasts the day.

When an agent hits the same problem twice, encode the fix as a lint rule, CI check, or steering-file instruction that every future session inherits.

Anthropic removed over 80 percent of Claude Code's system prompt for the Claude 5 models and measured no loss on its coding evaluations. How to give your own instruction files the same trim: goals instead of rule lists, context loaded on demand, and a /doctor audit.