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    Agent-native "safe to ship?" security gate for AI-generated code. Uses real parsers and inter-rocedural taint analysis (JS/TS, Python, Go) to flag the classes AI coding agents get wrong — secrets, SQL injection, SS, SSRF, path traversal, command injection, weak JWT/CORS — and ranks findings by confidence. Exposes a scan tool over MCP.
    Last updated
    1
    21
    2
    MIT
  • A
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    Policy and quality engine for AI coding agents that enforces team coding standards and provides validation gates for agent-assisted software delivery.
    Last updated
    7
    41
    4
    MIT
  • F
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    A FastMCP server that provides LLMs with structured access to Scalene's CPU, GPU, and memory profiling for Python applications. It enables automated performance analysis, bottleneck identification, and optimization suggestions through natural language interactions in supported IDEs.
    Last updated
    7
    1
  • A
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    Provides intelligent semantic code search using local AI embeddings, enabling natural language queries to find relevant code by meaning rather than exact keywords. Indexes codebases in the background with smart project detection and privacy-first local processing.
    Last updated
    6
    24
    200
    MIT
  • A
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    AI-powered characterization test generator that reads Python functions or class methods, synthesizes inputs, captures behavior in a sandbox, and emits pytest files to lock legacy code behavior for safe refactoring.
    Last updated
    4
    Apache 2.0
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    Provides AI assistants with comprehensive Magento 2 coding standards, security rules, and theme-specific guidelines to ensure generated code is compliant. It enables real-time code validation, pattern lookup, and security auditing tailored to different Magento frontend stacks.
    Last updated
    7
    14
    MIT
  • A
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    Provides comprehensive Magento 2 coding standards, security rules, and theme-specific patterns to help AI assistants write and validate compliant code. It supports built-in presets for Hyva, Luma, Breeze, and Porto themes to ensure context-aware development.
    Last updated
    7
    14
    MIT