Developers often encounter error messages that indicate what went wrong but fail to provide clear, actionable steps to resolve the issue. This lack of clarity can lead to frustration and wasted time, especially for less experienced developers.
Pain Points
- Error messages are often vague and unhelpful.
- Developers waste time trying to decipher errors.
- Lack of clear guidance can be frustrating and demoralizing.
- Real-world errors are inconsistent and misleading.
I kept running into errors that technically tell you what went wrong… …but not what to actually do next. Especially stuff like: TypeError / AttributeError / random Django errors The message is there, but the meaning isn’t always clear. So I built a small tool for myself called StackLens. You paste an error, and it returns: \- category \- severity \- explanation (in plain language) \- suggested fix \- some clean code advice One thing I realized while building it: Real-world errors are way messier than anything in tutorials. They’re inconsistent, vague, and sometimes misleading. Instead of using AI, I made it rule-based so the outputs are: \- consistent \- fast \- predictable Tech stack: \- Django (API + rules engine) \- Next.js (frontend) \- AWS S3 (for exporting error reports) Still early and definitely not perfect, but it’s already been useful for me when debugging. Curious: What’s an error message that always trips you up?
A tool that helps developers understand and fix error messages by providing clear explanations and suggested fixes.