Choose Between These Two Approaches

Don't pick a stack you'll fight for years. Describe what you're building and your skills — get a real recommendation with trade-offs, not hype.

Dropped into unfamiliar code? Paste it. Get the map — what it does, how it flows, and where the bodies are buried — before you touch a thing.

A mock interviewer that runs you through a real system design round, interrupts like the real thing, and scores you at the end. Brutal on purpose.

Paste the stack trace that means nothing to you. Get what actually broke, why, and the most likely fix — in plain English.

Stop deploying by hand and praying. Tell it your stack and host — get a CI/CD setup that tests and ships automatically, with the config and the why.

Paste the function you're embarrassed by. Get it cleaner and readable with the exact same behavior — plus a note on what was wrong so you stop doing it.

Find the holes before someone else does. Paste your code — it runs an OWASP-style security review and tells you what an attacker would try first.

Your query's slow and the EXPLAIN output is gibberish. Paste it — get what's actually happening, the bottleneck, and the index or rewrite that fixes it.

Porting code to a new language or framework? Paste it — get the converted version plus the traps that don't translate one-to-one.

Got dropped into a framework you've never used? Name it and what you know — get the mental model, the core concepts, and the 20% you need to be productive today.

"fixed stuff" is not a commit message. Paste your diff or describe the change — get a clear commit message your future team will actually thank you for.

"Works on my machine" — famous last words. Describe your app — get a Dockerfile and setup that runs the same everywhere, explained so you understand it.

Naming things is half of programming and you're stuck. Paste the code or describe it — get clear, consistent names that make the code read itself.

It works but it's slow. Paste it — get where the real bottleneck is, the optimized version, and whether the speed-up is even worth the complexity.

Building something and need fake-but-realistic data? Describe the shape — get a clean sample dataset with believable values and the edge cases to test.

Say what you want in plain English, get clean SQL back — plus the gotchas (nulls, dupes, slow joins) you'd only find in production at 2am.

Practice coding interviews the right way. Paste the problem — it nudges you toward the solution with hints, only revealing the answer once you've actually tried.

That boring task you do by hand every week. Describe it — get a script to automate it, with setup steps simple enough that a non-coder can run it.

You know you should. Paste the function — get the test cases that actually catch bugs, including the edge cases you'd forget at 6pm.

Describe what you want to match in plain words. Get the regex, every piece explained, and test cases — so you actually trust it before you ship it.

Stuck? Explain the problem to it out loud. It asks the questions that make you find your own bug — and only steps in when you're truly stuck.

Building against an API that isn't ready? Describe the endpoint — get realistic mock JSON (success and error cases) so you can build the front end now.

The thing every dev skips. Tell it what your project does — get a README people can actually follow: what it is, how to run it, and why it exists.

Designing an API and want it to not be a regret in six months? Describe what it does — get clean endpoints, naming, and the edge cases you'd forget.