The introduction of Large Language Models has changed the way we code. It has also introduced a new kind of friction: the copy-paste. While code generation models like Claude and GPT-4 are highly capable of outputting logical blocks, the manual pipeline of getting that code into a local environment is often tedious.
To avoid this, you can buy into IDEs, Claude Code, Cursor, and the like. These tools are capable, and will be able to make surgical edits to your code—for a price. But if you're not one who likes to be locked into an environment or sit around waiting for an in-house LLM to take minutes to make a single change to a single line, then there has to be a better way.
If you're a developer who finds themselves constantly executing the same repetitive steps—copying from the web interface, highlighting the correct section inside your IDE, repairing indentation, correcting brackets, and double-checking the formatting—then I highly recommend you try Code Stitcher. Speaking as somebody who knows that pain all too well, and after being unable to find a suitable solution online, I built Code Stitcher.
"The breaking point was seeing an LLM output that consisted of six separate truncation points. By the fifth '// ... remaining code goes here' comment, I had just about had it."
Solving the Truncation Problem
LLMs, especially the lower-token 'flash' or 'lite' models, will frequently truncate their outputs to conserve tokens and save costs. What this means is they will inevitably return a 20-line modification snippet with several truncation markers instead of the complete 400-line file. Standard patching tools and traditional diff engines fail here because of the nature of the LLM output.
Code Stitcher was built specifically to automate this tedious workflow. By using fuzzy AST matching, syntax normalization, and structured line heuristics, it can take the raw output from an LLM and integrate it into context-specific project files automatically. Even when faced with completely new content, it seeks out the destination with precision.
Why not try it out for yourself? It's free.