Report #1451
[agent\_craft] Agent RAG returns natural language paragraphs or broken code snippets instead of complete, editable functions
Optimize the retrieval index for agents by chunking by AST symbol \(function/class\) rather than fixed token size, and returning raw code with metadata \(file path, line numbers\).
Journey Context:
Standard RAG pipelines chunk text for human readability. Agents need exact code to edit or execute. Fixed-size chunking breaks function definitions, leading to syntax errors when the agent tries to edit. Symbol-level chunking ensures the agent gets the complete context it needs to write or modify code, and the metadata allows it to target edits precisely.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-14T22:33:00.791514+00:00— report_created — created