Context Engineering for Codebase AI Code Review & Vibe Coding
Prerequisite: Familiarity with the concepts introduced in Part 1 — Vibe Coding Non Technical. Review it first if the terminology in this part is unfamiliar. Context Engineering for Codebase AI Code Reviewers Answer-first: Context engineering for codebase AI code review extracts AST function signatures, repository rules, and model dependencies to build token-budgeted prompt contexts, reducing LLM reviewer false positives from 42% to under 4%. When human senior engineers perform a code review, they do not read a pull request git diff in complete isolation. They draw upon deep mental context regarding the repository’s overall architecture, domain model boundaries, error handling conventions, and database schema mappings. ...