Request to add an AI-driven prompt enhancer similar to Augment Agent’s feature

You seriously need to implement this ASAP: Augment Agent’s “Enhance Prompt” feature.

This is a game-changer. It enhances prompts dynamically based on the context and flow of the conversation — which means you’re always aligned with the intent and never off-track.

There’s no guesswork. No friction. Just better prompts, instantly.
Prompt Enhancer live in Augment Chat - https://www.augmentcode.com/

Hey, thanks for the feature request. We’ll consider it.

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This looks more like a Plan/Act pattern

  • step 1. When you make a request
  • step 2. The Agent tries to understand and gather information, then provides an initial plan
  • step 3. You review the plan and make modifications if needed
  • step 4. The Agent starts executing the plan

Yeah, many here on the forum are struggling with effective prompting. It might be very helpful for anyone new to prompting.

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**Nowadays this is a must have feature. **
I believe whatever you’re doing stop that right now and first make this feature and then continue.

Check this out, it’s not exactly what you are asking for, but actually takes it further by building a complete workflow guidance with rules and task management

Hi, I often use a different language (not English) to write my prompts, and I am not very good at creating effective prompts.

I would like to request: an “Enhance Prompt” button. This button would allow users to manually enhance their prompts before submitting them. When clicked, it would analyze and rewrite the prompt to be clearer, more detailed, and better structured.

a auto LLM prompt enhancer built-in would be AMAZING

+1

2 Likes

pls vote it :star_struck:

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Agreed!

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Sorry I’m new to the internet lol, didn’t realize it! I voted :slight_smile:

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I like this. Generally I think all model providers should provide this directly in their products’ UI as well.

It may be a little harder for us to optimize the prompt for each model, as they each have their quirks, but frontier models are usually good at identifying what’s missing from a prompt and finding that extra context that it needs.

It may cost an extra request to do this, and you might be able to add a user rule which does something similar for the time being. (gives feedback on your prompt, and what is missing/could be added)

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