Working with large codebases

Handling enterprise-scale repositories requires specific strategies and optimizations.

Code Analysis Strategy

Intelligent Searching

• Agents download code to remote servers

• Use reference-based searching for efficiency

• Progressive analysis from entry points

Token Optimization

• Focus on relevant code sections

• Incremental context building

• Caching of analysis results

Performance Considerations

Repository Size    Recommended Approach
──────────────    ───────────────────
< 100K LOC        Standard analysis
100K-1M LOC       Targeted search patterns
> 1M LOC          Modular execution strategy

Large Codebase Best Practices

1. Divide and Conquer

   • Break transformations into smaller Runbooks

   • Focus on specific modules or packages

   • Use incremental rollout strategy

2. Context Management

   • Carefully curate relevant documentation

   • Use MCP for external context

   • Limit scope to necessary files

3. Resource Planning

   • Monitor token usage trends

   • Scale agent containers as needed

   • Use caching effectively