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aider: Improve para starting 'Of course for large repos' in ctags.md.

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# Context:
USER: improve the para starting "Of course for large repos"
ASSISTANT: ```markdown
docs/ctags.md
<<<<<<< ORIGINAL
Of course, for large repos even their map might be too large for
the context window.
But this mapping approach enables
collaboration with GPT-4 on larger code bases
than was previously possible.
And it reduces the need to manually curate which files to add
to the chat, giving GPT itself more ability to identify which files
are relevant to the task at hand.
=======
Of course, for large repositories, even their map might be too large for the context window. However, this mapping approach significantly improves collaboration with GPT-4 on larger codebases compared to previous methods. It also minimizes the need for manual curation of files to add to the chat, empowering GPT to autonomously identify relevant files for the task at hand.
>>>>>>> UPDATED
```
This commit is contained in:
Paul Gauthier 2023-05-21 14:22:51 -07:00
parent 29bb9398df
commit aac77d9659
1 changed files with 1 additions and 8 deletions
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docs/ctags.md
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@ -68,14 +68,7 @@ Mapping out the repo like this provides some benefits:
- GPT can see the variables, classes, methods and function signatures from everywhere in the repo. This alone may give it enough context to solve many tasks. For example, it can probably figure out how to use the API exported from a module based on the details shown in the map.
- If it needs to see more code, GPT can use the map to figure out by itself which files it needs to look at. GPT will then ask to see these specific files, and `aider` will automatically add them to the chat context (with user approval).
Of course, for large repos even their map might be too large for
the context window.
But this mapping approach enables
collaboration with GPT-4 on larger code bases
than was previously possible.
And it reduces the need to manually curate which files to add
to the chat, giving GPT itself more ability to identify which files
are relevant to the task at hand.
Of course, for large repositories, even their map might be too large for the context window. However, this mapping approach significantly improves collaboration with GPT-4 on larger codebases compared to previous methods. It also minimizes the need for manual curation of files to add to the chat, empowering GPT to autonomously identify relevant files for the task at hand.
## Using ctags to make the map