See exactly how returnzero_ works.
One loop, four moves: learn the concept, practice it in a real sandbox, defend it in a live mock interview, and keep it with spaced repetition. Every tool runs right in your browser.
Run every tool yourself
Run code against a test suite, flip a review card, drive a mock interview, and see your plan on the dashboard.
1def credit_tracker(events):2 # Track allocations and client accounts3 credits = {}4 for ev in events:5 if ev["type"] == "allocate":6 credits[ev["client"]] = credits.get(ev["client"], 0) + ev["amount"]7 elif ev["type"] == "consume":8 current = credits.get(ev["client"], 0)9 if current >= ev["amount"]:10 credits[ev["client"]] = current - ev["amount"]11 return creditsRun the tests to verify the implementation.
Learn, practice, interview, review
Every track runs on the same four steps - learn the concept, build it in code, defend it in a mock interview, and keep it with spaced repetition.
Learn the concepts
Start from deep breakdowns - mobile and distributed system design, AI engineering, infrastructure, and DSA - with the real trade-offs and capacity math worked end to end.
Practice in the sandbox
Solve build-style challenges in an in-browser editor. Write code, run the real test suite, and iterate - Python, JavaScript, and TypeScript, no setup.
Run a mock interview
A live AI interviewer runs a full round: clarify the problem, code your solution, then defend complexity and edge cases - and get a written performance summary.
Lock it in with review
Active-recall cards scheduled by the SM-2 algorithm resurface what you're about to forget, so the concepts stick past interview day.
See the interviewer's own scorecard
Every coding challenge ships an interviewer guide - the signals they look for, the green / yellow / red flags, and the 1-5 rubric. Stop guessing what good looks like.
Signals the interviewer looks for
- Names the stack unprompted and explains the LIFO connection before writing a single line
- Re-seeds the sentinel correctly on an unmatched closer
- Uses three
if/elifblocks for bracket matching instead of a dict - correct but verbose - Does not handle the empty string explicitly but arrives at the right answer coincidentally
- Attempts to solve Level 1 with a counter (
count += 1/count -= 1) and cannot handle([)]without rewriting - Cannot explain why the sentinel
-1makes the formulaindex - stack[-1]work for the first run
Scored 1 - 5 on five dimensions
Named the stack and explained the LIFO connection before writing code. Described the sentinel trick for Level 3 before implementation. No hints needed.
Still using a counter after being told it fails on interleaved brackets; could not reach a correct design.
Excerpt from the Valid Parentheses interviewer guide.
Open an actual problem
Real pages from the catalog, open to read right now - here are three to start with.
Weather App
Design a forecast app like the Google or Apple weather app - one screen for the current location, a forecast that loads instantly from cache, an honest offline state, and a constrained background refresh.
Valid Parentheses
Stack-walk a bracket string to validate it, then localize the first error, then find the longest valid substring (LC 32).
The Android App Template
The 90% every concrete app design shares - the Compose + ViewModel + Flow + Room + Hilt skeleton to know and reuse.
Ready to go deep?
Two free problems of every type, no registration. Premium unlocks the full catalog and every tool.