Feature Request: AI FDE able to integrate Linter

Product Feedback
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1

Hi,

Below is a summary for the feature request.

Problem:
The AI FDE currently cannot access or interpret linter optimization suggestions. This creates a gap where code improvements identified by the linter are not incorporated into automated workflows, requiring manual intervention.

Proposed Solution:
Enable the AI FDE to integrate with the linter system and retrieve its optimization suggestions. The AI should be able to interpret these suggestions and optionally apply or recommend them as part of its automated processes.

Use Cases:

  • Automatically applying safe linter fixes during code generation or refactoring

  • Highlighting linter suggestions alongside AI-generated code

  • Reducing manual review effort by incorporating standard code quality rules

Benefits:

  • Improved code quality and consistency

  • Reduced manual effort in addressing linter warnings, and cross checking different recommendations.

  • More efficient development workflow through better automation

Thanks,

Rita

2

Hey Rita,

This is a great suggestion, thank you for sharing!

In fact, AI-FDE can already access Linter Recommendations - there’s a tool called "search_linter_recommendations" (see below).

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I personally use it a lot for optimising pipelines (migrating to lightweight, reducing spark profiles, etc.)

Let me know if you had any ideas on any new types of linter recommendations.

BTW - the linter sweep usually runs once a week so it might not catch any AI-generated code if made recently, you can configure sweep frequency!

3

Hi Naman,

Thank you very much for your answer :slight_smile: it seems it is what I need.

Do you know if I have to enable something to have access to search_linter_recommendations.

I’m looking for search_linter_recommendations and not finding it.

Thanks,
Rita

4

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It should be a tool in AI-FDE, can you type the same search term I did and if it comes up empty, send me a screenshot

5

Perfect! Thank you very much for your help :grinning_face: will explore it