Aislop is an essential engineering standards layer and quality gate designed specifically for AI-generated code. It identifies and rectifies common pitfalls left by AI agents, ensuring that the code adheres to your team's standards while providing a comprehensive scoring system ranging from 0 to 100.

Key Features:

• Detects and Fixes Issues: Aislop effectively catches various inefficiencies such as dead code, oversized functions, unused imports, incorrect type casts, and narrative comments, streamlining the code quality process.
• Deterministic Scoring: Utilizing advanced regex and AST techniques, Aislop delivers consistent scoring without reliance on large language models (LLMs), ensuring reproducible results across different sessions.
• Wide Language Support: Compatible with over eight programming languages, making it versatile for diverse codebases.
• Integration-Friendly: Aislop operates seamlessly across any project with a simple command, allowing for quick assessment and automatic corrections where feasible.

Quick Commands:

Running the tool is straightforward:

npx aislop scan  # quickly scans the current directory
npx aislop fix   # automatically fixes minor issues
npx aislop ci     # runs CI mode to ensure quality gates are met

CI/CD Integration:

Aislop easily integrates into Continuous Integration workflows, ensuring that only high-quality code is merged into your main branches. It can be configured to fail builds based on quality scores, providing an additional layer of code integrity.

Why Choose Aislop?

AI coding tools can generate code that meets functional requirements but often introduce patterns that low-quality engineers might create. Aislop shifts the paradigm by enforcing one unified score, automating fixes for obvious issues, and offloading more complex decisions to human agents with richer context.

Documentation and Support:

Comprehensive documentation is available, covering installation, usage, configuration, and CI/CD integration. Aislop also offers a hosted platform for teams, providing advanced features like PR gates based on score thresholds and visual rules management.

For more information and to view the tool in action, visit the official website and explore the GitHub repository for further resources.