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Paul Gauthier 2024-12-06 07:17:21 -08:00
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aider/website/docs/usage/watch.md
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@ -40,19 +40,21 @@ and look for any AI coding instructions you add using your favorite IDE or text
Specifically, aider looks for one-liner comments (# ... or // ...) that either start or end with `AI` or `AI!`, like these:
```python
# Implement a snake game. AI!
# Make a snake game. AI!
```
Or in `//` comment languages...
```js
// Write a self-learning protein folding prediction engine. AI!
// Write a protein folding prediction engine. AI!
```
Aider will take note of all the comments that start or end with `AI`, but
a comment that includes `AI!` with an exclamation point is special.
That triggers aider to take action to collect *all* the AI comments and use them as instructions to make code changes.
See the demo video above that shows aider working with AI comments in VSCode.
## Example
@ -75,8 +77,6 @@ function factorial(n) {
```
Also see the demo video above that shows aider working with AI comments in VSCode.
## Multiple uses
This capability is quite flexible and powerful, and can be used in many ways.
@ -99,7 +99,7 @@ app.get('/sqrt/:n', (req, res) => {
### Multiple comments
You can drop multiple `AI` comments without the `!`,
You can add multiple `AI` comments without the `!`,
before triggering aider with a final `AI!`.
Also keep in mind that you can spread the AI comments across
multiple files, if you want to coordinate changes in multiple places.
@ -147,11 +147,11 @@ You can undo/remove the comment immediately if you like, the file
will still be added to the aider chat.
### You can be lazy
## You can be lazy
The comments in the examples above all show AI
The examples above all show AI
comments with full sentences, proper capitalization, punctuation, etc.
This was done for clarity, but is not needed in practice.
This was done to help explain how AI comments work, but is not needed in practice.
Most LLMs are perfectly capable of dealing with ambiguity and
inferring implied intent.