Use AI to analyze test logs, identify and prioritize technical debt, and generate a task list for AI agents like Cursor or Devin to systematically fix issues. This creates a repeatable process for improving codebase health.
with Claire Vo
Run your test suite and pipe the output to a log file to capture all console logs and errors. For example, run yarn test > test_output.log.
Feed the generated log file to a large language model like Claude for analysis. Ask it to identify the most problematic areas, categorize them, and rank them by severity.
Analyze this test log file and create a prioritized task list for reducing test noise. Categorize issues by type and severity. Output in markdown checklist format.Use the AI's output to create a prioritized list of tasks in a markdown checklist file. Store this file in a dedicated directory, for example, agents/migrations, to track progress.
Use AI coding assistants like Cursor or Devin to address the identified issues. Assign one task at a time to an agent to ensure focused and manageable changes.
Once an AI agent completes a task, a human engineer should review the generated code. After approval, merge the change into the codebase and mark the corresponding task as complete on your checklist.
Use an AI agent to automatically catalog physical items like toys and books from photos, creating a searchable inventory in a note-taking app. The agent can then connect these physical items to digital plans, like suggesting relevant toys for a lesson.
Partner with an AI coding agent to build and deploy a custom TV application from scratch, even with zero prior coding knowledge. This workflow allows you to create a safe, curated content environment for your family by pulling from approved sources.
Use an AI agent to digitize curriculum books from photos, automatically generate structured lesson plans, and create custom learning materials like watercolor illustrations. This saves hours of manual data entry and creative work.
Join 100,000+ product managers who use ChatPRD to write better docs, align teams faster, and build products users love.