From Error Message to Likely Fix
Results
Visualization
How It Works
The tool applies a small weighted scoring model over five fix areas. Your category, message keyword, environment, and stack each add weight to the relevant areas: a module-not-found message heavily favors dependency issues, a null or undefined message favors a code bug, and a permission-denied message favors credentials. After scoring, areas are sorted and the top one is reported with concrete steps. Confidence is the top area share of total weight, so a high number means your answers point clearly, while a low number means several areas are close and you should try the safest fixes first. The bar chart shows every area score for full transparency.
What Should You Do?
Begin with the lowest-risk, highest-frequency fix: a clean dependency reinstall resolves a large share of build and module errors and cannot harm your code. If the finder points to config, diff your local and deployed environment variables before touching code. For code bugs, reproduce in a debugger and add guards rather than sprinkling try-catch everywhere. For resource limits, profile before adding hardware, because a single slow query often causes the timeout. For permission issues, prefer least-privilege roles and a secret manager over widening access. Keep notes on what you tried so teammates can help faster.
Frequently Asked Questions
Is this a real diagnosis of my error?
No. It is an illustrative scoring model from your choices. It prioritizes likely fixes but cannot read your logs, so treat it as a checklist.
Why is my confidence low?
Low confidence means several areas scored closely, often from vague input. Start with the safest fix and re-run with a more specific message keyword.
Should I reinstall dependencies first?
For build or module errors, yes. A clean install is fast, safe, and fixes a large share of version-mismatch problems.
My error says out of memory, what now?
The finder scores resource limits higher. Raise the limit or timeout, but also profile for a leak or unbounded loop before scaling up.
Does the environment choice matter?
Yes. CI and production often differ from local in env vars and permissions, so the same code can fail only in one place.
What if nothing works?
Capture the full stack trace and the exact command, then search official docs or ask with those details so others can reproduce.