Greptile

Developer creates a pull request for a new feature.

Greptile analyzes the code, identifying potential vulnerabilities.

Greptile posts in-line comments with suggested fixes.

Developer addresses the issues and commits the changes.

Greptile re-analyzes the code to confirm the fix.

The pull request is approved and merged.

Define coding standards in English using custom rules.

Apply the rules to specific repositories and file paths.

Greptile automatically checks PRs for compliance with these rules.

Developers receive in-line comments highlighting violations.

Developers fix the issues to align with the standards.

Metrics are tracked over time to measure rule effectiveness.

Greptile analyzes the PR and generates a summary with Mermaid diagrams.

Developers quickly understand the code changes.

In-line comments suggest improvements to code structure.

Developers implement the suggestions and commit the changes.

Reviewers can efficiently assess the impact of the changes.

The code becomes more readable and maintainable.

Greptile analyzes code written by new team members.

The AI provides in-line comments with best practice recommendations.

New team members learn from the feedback and improve their code.

Reactions and replies teach Greptile what matters.

The system adapts to the team's preferences, providing relevant feedback.

New team members integrate into coding standards and best practices.

Developers refactor legacy code and create pull requests.

Greptile analyzes the changes with full codebase context.

The system identifies potential regressions and dependencies.

The AI posts in-line comments with suggestions to avoid issues.

Developers review and address the recommendations.

The refactored code is deployed safely and effectively.