Engineering,
proven.
Practise coding, fix broken servers, build with or without AI, and explain your work to an AI that asks why. Every step becomes proof that teams can hire on, affordably.
Six petals.
Everything, in one place.
Practice, real systems, AI-era projects, an interviewer that checks you understand, proof, and hiring — usually spread across five different sites. Here they're one loop: four petals for learners, two for hiring teams, and every step is on the record. That's the karma.
Coding problems,
checked for real.
DSA, code reading, Git, SQL, Linux. Short problems that run against hidden tests, with explanations once you pass.
Try it →Broken servers.
Real terminals.
Each lab boots an isolated Linux machine with a real fault. Find it, fix it, and let the checks confirm it. Nothing is simulated.
Try it →Projects,
with AI or without.
Real tickets in a real repo, in VS Code. Choose AI off, authored hints, or a full AI helper. The mode is locked in and shown on your result, because using AI well is now part of the job.
Try it →Proof,
not a certificate.
After each project an AI interviewer asks about your own work, and your answers join one page: problems solved, servers fixed, projects built, how you explained them, and which AI mode you used. Private until you share it.
Try it →Affordable hiring,
your way.
Build an assessment from the same pieces, set the rules, and send it out. Watch what candidates actually did, step by step. A person on your team makes the call. Priced so teams can test everyone, not just the shortlist.
Try it →AI interviews
that read the work.
An AI interviewer asks each candidate about their own submission, the way a sharp senior engineer would. Replay every step they took, then a person on your team decides. Written today, live voice next.
Try it →