Mentat

Load the entire API directory into Mentat.

Provide the new library documentation as a reference file.

Issue command to refactor all endpoints to use the new syntax.

Review and accept diffs.

Launch Mentat at the project root.

Ask Mentat to analyze existing logic and generate Pytest files.

Review the generated mocks and assertions.

Execute tests and iterate via Mentat for fixes.

Run Mentat in the repo.

Ask questions like 'Where is the authentication flow handled?'

Mentat points to specific files and explains the logic flow.

Ask Mentat to generate comments for complex functions.

Add all frontend components to Mentat context.

Define the target design system rules.

Direct Mentat to replace hardcoded hex values with theme variables.

Accept changes across multiple components.

Paste the stack trace into Mentat chat.

Mentat searches the codebase for the relevant call stack.

Mentat identifies potential race conditions and proposes thread-safe logic.

Apply and verify the fix.

Provide the implementation files and the documentation files.

Ask Mentat to update the docs based on the latest code changes.

Review for technical accuracy.

Apply updates.

Select the model file and the repository/service files.

Command Mentat to add the 'user_preference' field.

Verify that Mentat updated the DTOs, SQL queries, and mappers.

Accept the multi-file diff.