Spots bugs and suggests improvements
The AI automatically scans every pull request for a wide range of issues, including logic errors, style inconsistencies, and potential security vulnerabilities. Comments and suggestions are added directly to the pull request, making them easy to review and address.
Background agents
cubic can automatically fix issues in the background. When the AI spots a problem, it can generate and apply fixes without manual intervention. This feature helps maintain code quality by addressing common issues like formatting, linting errors, and simple refactoring opportunities.
Learns from you
The AI adapts to your team’s feedback. When you react to a suggestion or provide a correction, the AI remembers. This helps reduce false positives over time and tailors advice to your specific codebase and coding standards.PR summaries
Automatically generate clear and concise descriptions for your pull requests to help reviewers quickly understand the purpose and impact of the changes. The AI analyzes your code changes and creates comprehensive summaries that include what was changed, why it was changed, and any potential impacts.
Custom rules
Define custom rules to enforce team-specific standards and domain-specific guidelines. This allows you to check for internal API usage patterns, adherence to architectural decisions, or deprecated functions. You can create rules using natural language or code patterns.