GenAI Agents

Issu helps GenAI agents perform work within your code repositories.

LLMs love raw markdown, and Issu’s markdown and frontmatter format make it trivial to assign work, set goals, and boost your productivity:

Prompt:
Read the contents of issues/185.md and propose a solution for resolving it within the web/src code

LLM:
To resolve issue #185 within the web/src code, I’ll follow these steps:

  1. Understand the Issue: Read the contents of issues/185.md to understand the problem description.
  2. Identify Relevant Code Files: Search for any mentions of the issue in the web/src directory.
  3. Analyze Code Changes: Make targeted changes to resolve the issue in the identified files using replace_in_file.
  4. Test Changes: Use browser_action to launch the web application and verify that the issue is resolved.

Would you like me to proceed with these steps?

Input:
yes

LLM:
To proceed with the solution for issue #185, I’ll focus on the following steps:

  1. Create a Dataset Library: Implement the Dataset class and related functions as described in the notes.
  2. Refactor State Management: Update the existing state management to use the new Dataset library.
  3. Test Changes: Use browser_action to launch the web application and verify that the changes are working as expected.

Would you like me to start with step 1, creating the Dataset library?