chunking-for-llms

To split source code for LLM context windows without breaking syntax, this Skill performs syntax-aware splitting on boundaries like functions or classes. This ensures large codebases are processed into coherent units for effective LLM interaction.

Yes, you can configure the chunk size to fit specific LLM token budgets using the '--chunk-size' parameter. This allows you to set a maximum size for chunks, ensuring the split source code matches your model's token limits.

The best way to process a large codebase for LLM integration is using syntax-aware chunking. This technique splits source code into coherent units based on syntactic boundaries, maintaining context integrity across splits for LLM interaction.

Yes, syntax-aware chunking works with TypeScript source code. You can process TypeScript files by specifying the file path, such as 'ts-pack process src/app.ts', to split the code into coherent chunks for LLM context windows.

Splitting code arbitrarily causes problems for LLM processing because it breaks syntax mid-construct, destroying coherent units. Syntax-aware chunking prevents this by splitting source code on syntactic boundaries to maintain context for LLM integration.