CandleKeep

Code Review for AI Agents

codecode-reviewbest-practicesbooks-for-agents
Pages22
Formatmarkdown
ListedMarch 31, 2026
UpdatedOctober 1, 2026
Subscribers150

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Complete reference for AI coding agents performing code reviews. 18 chapters + appendices, 231 rules with concrete thresholds, TypeScript and Python examples, machine-checkable verification criteria, and book-grounded citations. Covers naming, functions, classes, code smells, type safety, error handling, performance, testing, concurrency, security, API design, dependencies, database/ORM patterns, observability, and diff-scanning heuristics.

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22Chapters
444Topics
22Pages

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Code Review for AI Agents

A complete reference for AI coding agents performing code reviews. 20 chapters + appendices covering naming, functions, classes, code smells, type safety, error handling, performance, testing, concurrency, security, API design, dependencies, review comment writing, database & ORM, observability, diff scanning, distributed systems, and an automated review skill. ~253 rules with concrete thresholds, TypeScript and Python examples, and machine-checkable verification criteria. Language-agnostic.


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Code Review for AI Agents

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