Understand what your code actually does
cause turns code, diffs, and failures into explicit behavior — so you can debug, verify, and fix with confidence.
prompt → apply → break → debug → fix
Pro version coming soon.
The cause platform is on its way
We're building the behavior layer for AI-generated code. Join the waitlist to be among the first to try it.
AI made writing code easy.
Understanding it didn't get easier.
You can generate code in seconds. But when something breaks, everything slows down:
- You don't know what paths the code actually takes
- You don't know what changed in a meaningful way
- You don't know where a failure really comes from
So you guess. You trace manually. You retry prompts.
Debugging becomes the bottleneck.
The problem isn't code. It's missing structure.
Today's tools show files, suggest edits, and explain snippets.
But they don't give you a model of behavior.
Without that, you're reasoning in the dark.
cause builds the behavior layer
A structured, queryable model of what your code does — and what changed.
Path Visualization
See what your code actually does.
- —Extract execution paths
- —Follow conditions and branches
- —Surface side effects and outcomes
Stop reading code line-by-line. Start understanding behavior.
Differential Analysis
See what changed — not just what was edited.
- —Compare behavior across commits
- —Identify meaningful semantic changes
- —Highlight risky branches and assumptions
Know what changed that matters.
Evidence-Driven Diagnosis
Go from failure to cause.
- —Ingest logs, stack traces, CI failures
- —Map issues to execution paths
- —Localize likely causes and next steps
Debug with direction, not guesswork.
Built for the modern dev loop
cause plugs into the step that's still broken: understanding what actually happened.
Not another AI coding tool
cause does not write code for you.
It helps you understand and fix AI-generated code by showing:
- what behavior the code defines
- what changed between versions
- which paths, branches, and side effects are affected
- where a failure most likely comes from
- what evidence you need before trusting the fix
cause is the debugging and reasoning layer between generated code, real failures, and confident repairs.
AI broke it. Cause helps you find and fix the real cause.
| AI coding assistants | Cause |
|---|---|
| Write code you may not fully understand | Explains what the code does and where it can fail |
| Patch symptoms quickly | Finds the behavior that actually changed |
| Retry fixes until something passes | Shows what evidence proves the fix is safe |
| Generate large changes fast | Helps you isolate the risky paths, side effects, and regressions |
| Can hide bugs behind passing tests | Highlights missing checks and untested behavior |
| Work inside the next edit | Connects failures across code, diffs, CI, logs, and traces |
| Help generate the change | Helps debug, repair, and verify the change |
Stop guessing. Start knowing.
Pro will include deeper analysis, larger codebases, and advanced debugging workflows.