THE AI DEBUGGING WORKBENCH
Find the signal.Fix with confidence.
Turn tangled errors into a clear next step. Explain a snippet, investigate a stack trace, or write a bug report someone can actually reproduce.
Evidence before assumptions
Tools
A little structure goes a long way.
Error explainer
Separate the symptom from the cause. Get ranked hypotheses and checks that distinguish them.
Open workspace ↗Code companion
Read unfamiliar code with a map of its inputs, branches, side effects, and edge cases.
Open workspace ↗Bug report builder
Turn scattered notes into reproducible steps, expected behavior, and a useful evidence checklist.
Open workspace ↗Source first. Judgment always.
A useful result in three steps
↳Bring the right source
Use the smallest useful excerpt. Remove anything private.
Choose the outcome
Pick a focused tool and add the context it needs.
Check the evidence
Compare the draft with the original, then copy or export.
Field notes
Original examples, transparent limits
A stack trace is a trail, not a verdict
How to turn an exception into a testable explanation without jumping to the first plausible fix.
Read the guide ↗Read code through its contract
A useful explanation tells you what changes, what stays shared, and which inputs break the assumptions.
Read the guide ↗A bug report the next person can use
Preserve observations, expose missing context, and avoid turning a suspicion into a reported fact.
Read the guide ↗