Sometimes Suggested Code by AI is not properly diffed / replaced to current source code of your working files.

[avlcat]

Before submitting your bug report

• I've tried finding an answer on the Continue docs site
• I'm not able to find an open issue that reports the same bug
• I've seen the troubleshooting guide on the Continue Docs

Relevant environment info

name: Main Config
version: 1.0.0
schema: v1
models:
  - name: Qwen2.5 Coder 32B
    provider: ollama
    model: qwen2.5-coder:32B
    apiBase: http://127.0.0.1:11434
    roles:
      - chat
      - edit
      - apply
  - name: Qwen2.5 Coder 1.5B (Autocomplete)
    provider: ollama
    model: qwen2.5-coder:7B
    apiBase: http://127.0.0.1:11434
    roles:
      - autocomplete
  - name: Qwen2.5 Coder 7B (Embeddings)
    provider: ollama
    model: qwen2.5-coder:7B
    apiBase: http://127.0.0.1:11434
    roles:
      - embed

Description

Sometimes Continue is not able to merge its suggestion to the original code.

To reproduce

I am using Qwen 2.5 32B, I am trying to work on a small C program with two C files. When I ask the LLM to do a refactoring on my code it shows the modification it needs to do and sometimes (not all the times) when I choose to "Apply" changes, his suggested code is not merged in my original C file. It says but is not able to modify the file.

Log output

[krusta07]

I've run into this intermittent merge failure a couple of times myself when dealing with local model refactors. It looks like the block-matching parser gets thrown off by minor indentation or syntax formatting differences between the model's output and the original file contents. I'd love to jump into the inline-edit pipeline and help make the text-diffing or block placement matching a bit more robust. Mind assigning this to me