Skip to content

AI for debugging code

AI for debugging code when the stack trace is not the whole story.

Bring logs and constraints, raise reasoning depth, and branch fix strategies—compare models when the first hypothesis is weak. Full workspace access requires a Pro or Lifetime plan.

Pro from $14.99/month · Lifetime $149.99 one-time

View live demo
  • 1Root-cause focus
  • 2Log context
  • 3Branch fixes
Workspace preview
Help me structure this task and call out risks.
Claude 5 Sonnet

Here is a practical structure:

  1. 01Clear next steps
  2. 02Risks called out
  3. 03Branch for an alternate approach

Ask anything

SearchLow

Debugging work

Speed comes from better hypotheses.

Debugging is evidence ranking, not random patching.

  1. 01

    Premature patches

    Fixes without falsifiable hypotheses.

  2. 02

    Missing context

    Logs and code not together.

  3. 03

    Tunnel vision

    One model’s first idea becomes law.

Debug toolkit

Hypothesize, test, compare.

Chat-layer debugging support.

Logs & snippets

Attach what you choose to share.

Evidence.

Deep reasoning

For subtle race and state bugs.

When hard.

Second opinion

Another family on the same evidence.

Anti-tunnel.

Fix branches

Two remediation strategies in parallel.

Compare.

Known issues

Check current docs and releases.

Supported.

Ultra Mode

Multi-agent incident analysis on Pro.

Severe cases.

Debug loop

Evidence, hypotheses, fix.

Keep the scientific method.

  1. 01

    Collect evidence

    Logs, repro steps, recent changes.

  2. 02

    Rank hypotheses

    What would falsify each.

  3. 03

    Branch fixes

    Mitigation vs root fix paths.

Debug scenarios

Bugs that need better hypotheses.

Prod 500s

Why only in production?

Logs → Reasoning → Branch

Outcome

Env-specific root cause.

Flaky tests

Rank causes of intermittency.

Files → Second model

Outcome

Ordered suspects.

Perf regression

What changed and what to measure?

Search → Ultra Mode

Outcome

Measurement plan.

FAQ

Debugging questions

Will it automatically pull my production logs?

No. You provide evidence by paste or attachment.

Is this an IDE debugger?

No. It is a multi-model chat workspace for analysis and planning fixes.

Should I paste proprietary code?

Follow employer policy. You control uploads.

How much does milkyway.chat cost?

Pro is $14.99 per month and includes all premium models plus voice chat. Lifetime is $149.99 as a one-time payment and lets you bring your own API keys. Visit the pricing page for current plan details.

Can I try the workspace before subscribing?

Yes. You can explore the interactive math visualization example without a subscription. After signing in, you can browse the workspace interface, but sending messages requires an active Pro or Lifetime plan.

Ready to get started

Debug with hypotheses, evidence, and a second model.

Pick Pro or Lifetime on the pricing page, then start with the model and tools your task needs.