java-chunker

Split large Java files for LLM processing by breaking them at semantic boundaries like class and method levels. The chunker preserves class headers, including package and import statements, prepending them to every chunk to maintain full context for downstream migration tasks.

Chunk Java source code for code migration by targeting an approximate maximum token size per chunk. The tool splits files at method and class boundaries, ensuring no method body is truncated, and returns structured metadata like chunk index and total chunks for reassembly.

Yes, semantic chunking for Java files supports per-chunk validation and test generation. By splitting source files into self-contained pieces that include class signatures and metadata, agents can process individual methods without losing the surrounding class structure.

Prepare large Java classes for multilingual prompt building by splitting them into context-aware chunks. This approach loads and validates prompt templates with required variables, converting Java paths and CamelCase names to Python module paths for translation agents.

Java file chunking preserves semantic context by prepending class headers to each chunk, while separate file utilities parse Maven and Gradle dependencies. This ensures dependency metadata remains accessible for downstream migration and validation workflows.

Naively truncating Java code breaks method bodies and strips class headers, causing LLM translation agents to lose semantic context. Semantic chunking solves this by splitting only at class and method boundaries and reattaching package, import, and class signature data to each chunk.