Developers Can Enforce AI Coding Rules Deterministically Using Claude Code Hooks

A developer writing for DEV Community argues that placing coding rules in AI prompts is unreliable, since language models treat instructions as requests rather than hard constraints and compliance degrades over longer contexts. The author found that many coding rules — such as banning 'use client' at the page level or blocking uncommented @ts-ignore — require no AI judgment and can instead be enforced with simple regex-based scripts. By wiring shell or Node.js scripts to Claude Code's PostToolUse hook, violations are caught after every file edit and error messages are injected directly back into the agent's context, prompting automatic self-correction. The approach costs zero tokens when no rule is broken and works consistently regardless of which underlying model generated the code. The pattern is available in the author's open-source ccteams v0.3.0 release but can reportedly be built independently in about 30 minutes.