Debug with AI

Debug with AI by explaining the symptom, not dumping the whole codebase.

AI debugging works best when the problem is framed well. TalkMate Debug mode helps you describe what happened, what you expected, what changed recently, and which snippet or stack trace matters.

Use Debug mode like a focused rubber duck. It is not a replacement for reading your code carefully, but it can help you isolate symptoms, form hypotheses, decide what to test next, and save a debug trail once you find direction.

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Example result

Example debug trail

-Symptom: Saved brief generation succeeds but dashboard does not show the artifact.

-Likely cause: Database migration has not been run or the table policy blocks reads.

-Test: Open Supabase SQL editor and confirm session_briefs exists with RLS policies.

-Next step: Check the browser network response from GET /api/session-brief.

Best for

stack tracessmall code snippetsNext.js issuesAPI errorsUI bugsdeployment problems

Not for

pasting entire codebases

1000-line files without context

secret keys or private credentials

security-critical review without an expert

Workflow

How to use this workflow

Describe the symptom

Say what happened, what you expected, when it started, and whether it is reproducible.

Add the smallest useful context

Paste the error, stack trace, recent change, or smallest relevant function. Avoid full-file dumps.

Work through hypotheses

TalkMate helps separate likely causes from guesses and suggests the next diagnostic check.

Save the debug trail

Generate a brief with symptoms, tests tried, likely cause, open questions, and the next step.

Prompt examples

Start with a better first message.

My Next.js app builds locally but Vercel still shows stale content. Here is what I checked.

This API route returns 500 only in production. Here is the error and the recent change.

This React component rerenders too often. Here is the smallest component that reproduces it.

Weak prompt

Here is my entire file. Find the bug.

Better prompt

Expected: the dashboard shows saved briefs. Actual: the API returns 500 after I click Brief. Recent change: I added a session_briefs table. Here is the error and the route handler section that writes to Supabase.

Why TalkMate instead of generic chat?

General AI chat can debug if you provide enough context. TalkMate Debug mode adds guardrails: it warns on huge pastes, asks for symptoms and snippets, and turns the result into a saved debug trail.

FAQ

Common questions

Can I paste a full code file?

You can paste code, but TalkMate works better with the error and the smallest relevant snippet. Large code pastes trigger a warning.

What should I include in a debug prompt?

Include expected behavior, actual behavior, error messages, recent changes, environment, and the smallest code snippet that shows the issue.

Can I save a debug trail?

Yes. Generate a session brief after debugging to save the symptoms, tests, hypotheses, and next step.

Should I paste secrets or private keys?

No. Never paste API keys, tokens, passwords, private customer data, or secrets into any AI chat.

Turn this session into something you can return to.

TalkMate helps you speak, clarify, generate a brief, and keep your thinking space organized when you sign in.

Try this workflow