Large language models have changed how we write software. They have also created a new kind of busywork: collecting generated code from ChatGPT, Claude, Gemini and other tools, then manually working out where to put it.
Integrated coding tools can be useful, but not everybody wants to move into another editor or hand over an entire project. Sometimes the best tool is the model you already like, plus a dependable way to get its output into your own files.
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 began with fuzzy structural matching, indentation recovery, and an accordion approach to omitted code. It has since grown into an AST-aware workflow with multi-file patch support, pre-write guards, a side-by-side Stitch Viewer and local rollback snapshots.
That's still the point of the project: spend less time repairing copy-paste and more time building things. The Personal Edition is free.
From clipboard to terminal
The same frustration now exists in shell pipelines and autonomous coding agents. Newer Code Stitcher releases let you pipe output through stitch, request a JSON map of a source file with stitch analyze, or direct a patch at a known file with stitch patch.
When there is ambiguity, the operator stays in control: Tactical Arm, the interactive adjuster, the F10 diff viewer and Ctrl+Z rollback remain part of the workflow.
Read the latest release notes for the newest capabilities.