package-merge-pattern

To merge LLM code into Wolfram Language packages safely, you extract function blocks from both the original source and the LLM response, then apply targeted merging logic to prevent overwriting unrelated code. This process ensures only modified functions are updated.

Overwriting unrelated functions in a .wl package happens when naive replacement strategies are used instead of function-block extraction. By pulling definitions into comparable blocks and applying partial merge logic, only targeted functions are updated without dropping or duplicating existing code.

Yes, you can merge partial code updates by detecting whether the LLM response contains a full file or only changed parts. The merge logic applies the appropriate strategy based on this detection, inserting new functions and verifying the insertion actually occurred.

The best way to validate LLM code changes is to apply a post-merge safety validation checklist that checks size and function ratios, verifies structural preservation, and detects API errors. This blocks unsafe overwrites before the merged result is accepted.

Parsing stream-json progress events for Wolfram Language package updates is supported through incremental parsing of Claude Code progress events. This enables reliable real-time UI and status updates during the LLM code merging workflow.

Yes, LLM code merging works with non-standard Mathematica package structures by using new-function insertion with fallbacks. It inserts newly introduced functions into robust locations and verifies that the insertion actually occurred within the package.