Machine Coding
Build a working solution, defend the design, then extend it under a curveball.
A voice AI runs your mock: build, defend the design, face a curveball. Leave with a code-quoted report a senior engineer signs.
Pick a round — DSA, Machine coding, LLD or System design. A voice AI sets the problem in a real coding room.
Write a working solution while the AI listens, then probes your choices live.
The AI adds a half-baked feature and watches you extend it. Hidden tests decide correctness — never the model.
Minutes later: a report quoting your code, scored on the rubric, signed by a senior engineer.
Not a vibe score. Every number traces to the round — real-execution correctness, rubric design, signed verdict.
Every mock scores your readiness against the hire bands. Real progress isn't a straight line — it dips and climbs, until you're firmly in Strong Hire.
Each round runs a frozen rubric — so your report means the same thing to every recruiter.
Build a working solution, defend the design, then extend it under a curveball.
Solve a data-structures problem while you talk it through — execution decides correctness.
Model classes for a real feature, then defend the trade-offs. Scored on OOP, SOLID.
Architect a system at scale — caching, queues, sharding — probed on real trade-offs.
TechClinic teaches what your report scores you on. Every gap links straight to a lecture.
Book an AI mock, build under pressure, walk away with a report you can act on.