--- description: "AI-powered codebase optimisation with language-specific best practices and interactive approval." --- # Code Optimisation Code-Graph-RAG provides AI-powered codebase optimisation with best practices guidance and an interactive approval workflow. ## Basic Usage ```bash cgr optimize python --repo-path /path/to/your/repo ``` ## With Reference Documentation Guide the optimisation process using your own coding standards: ```bash cgr optimize python \ --repo-path /path/to/your/repo \ --reference-document /path/to/best_practices.md ``` ```bash cgr optimize java \ --reference-document ./ARCHITECTURE.md ``` ```bash cgr optimize rust \ --reference-document ./docs/performance_guide.md ``` The agent incorporates guidance from your reference documents when suggesting optimisations, ensuring they align with your project's standards and architectural decisions. ## Using Specific Models ```bash cgr optimize javascript \ --repo-path /path/to/frontend \ --orchestrator google:gemini-3.6-flash ``` ```bash cgr optimize javascript --repo-path /path/to/frontend \ --batch-size 5000 ``` ## Supported Languages All supported languages: `python`, `javascript`, `typescript`, `rust`, `go`, `java`, `scala`, `c`, `cpp` ## How It Works 1. **Analysis Phase**: The agent analyses your codebase structure using the knowledge graph 2. **Pattern Recognition**: Identifies common anti-patterns, performance issues, and improvement opportunities 3. **Best Practices Application**: Applies language-specific best practices and patterns 4. **Interactive Approval**: Presents each optimisation suggestion for your approval before implementation 5. **Guided Implementation**: Implements approved changes with detailed explanations ## Example Session ``` Starting python optimization session... ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ The agent will analyze your python codebase and propose specific ┃ ┃ optimizations. You'll be asked to approve each suggestion before ┃ ┃ implementation. Type 'exit' or 'quit' to end the session. ┃ ┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛ Analyzing codebase structure... Found 23 Python modules with potential optimizations Optimization Suggestion #1: File: src/data_processor.py Issue: Using list comprehension in a loop can be optimized Suggestion: Replace with generator expression for memory efficiency [y/n] Do you approve this optimization? ``` ## CLI Options | Option | Description | |--------|-------------| | `--orchestrator` | Specify provider:model for main operations | | `--cypher` | Specify provider:model for graph queries | | `--repo-path` | Path to repository (defaults to current directory) | | `--batch-size` | Override Memgraph flush batch size | | `--reference-document` | Path to reference documentation |