Compares two versions of code to identify improvements, regressions, and neutral changes. Returns a merge recommendation for code review and refactoring validation.
Enables LLMs to apply Martin Fowler's 71+ refactoring patterns to codebases through a pluggable, language-agnostic architecture. Supports previewing and applying refactorings, analyzing code smells, and inspecting code structure with safe-by-default operations.
Exposes structured prompt generation tools for refactoring protocol and governance specifications via MCP, enabling teams to generate, validate, and retrieve standardized refactoring prompts through automation scripts and HTTP APIs.
Retrieve and apply code actions like quick fixes, refactoring operations, and import organization at specific positions in source files to automate code improvements.
Inspect PySpark code to identify issues, refactoring opportunities, and best practices. Discover common patterns and duplicate logic across code samples.
Generate and analyze Cairo code for Starknet smart contracts, including writing, refactoring, and completing specific implementations using AI-powered assistance.
Formulates structured, effective system prompts and templates for complex AI agent tasks—code refactoring, RAG search, multi-agent orchestration, bug fixes.