init-greptile-review

Automating semantic code reviews involves generating a tailored Greptile configuration that analyzes your codebase structure and creates `.greptile/config.json`, `rules.md`, and `files.json` files. This setup enables AI-powered checks for architectural violations and security issues directly in your pull requests.

Semantic code rules go beyond standard linting by focusing on architectural boundaries, security invariants, and cross-file reasoning. Instead of just syntax, they map the review surface and engineer rules based on deeper architecture signals to catch critical bugs and contract drift.

To configure an AI code reviewer for a monorepo, you can generate a Greptile setup that adapts to complex structures with cascading overrides. The process maps the review surface and precisely scopes semantic rules and context files for each part of the monorepo.

Yes, you can integrate automated code review into your CI/CD pipeline by configuring Greptile to run on every pull request. The generated setup provides structured output with reasoning annotations and includes a canary test for verification within your automated workflows.

Automated semantic code review works without manual configuration overhead by analyzing your repository's specific architecture to automatically generate required files. It identifies risk-sensitive areas and engineers high-signal rules tailored to your codebase, ensuring consistent checks across all pull requests.