Live and take-home interviews in real production environments.
Give candidates real-world problems to solve, AI included. Watch every move and hire the ones who can actually do the job.
Claude · readyBring your stack, we bring the machine
100+ recipes. 300+ tools. Ready in seconds.
See exactly how candidates think, debug, and build in real production environments before you make the offer.
AI usage is tracked and scored in real time across every session.
Candidates pick the AI model and ask their own questions. You see exactly how they prompt, follow up, and use the answers.
Resumes lie. Whiteboards mislead. Real environments tell you who can actually ship.
Interview thousands of applicants quickly with short, production-like tasks that reveal real skill.
Create interviews without technical expertise. We help you design, tailor, and score challenges.
Run challenges live, async, or as take-home. Scoring and evidence stay consistent across all of them.
Whether they use AI is not the question anymore. How they use it is. Prompt quality, critical review, mode awareness, and responsible use decide whether AI ships a real fix or a confident-sounding regression.
EasyEnv scores all four pillars on a real Linux box, recorded end-to-end. Hire the engineers who use AI well, not the ones who accept whatever it suggests.
Try EasyEnv Engineering. The same real Linux machines companies interview on, yours to learn on, practice on, and prove yourself on.
Close the gap before an interviewer finds it.
Hands-on lessons in Python, Go, Kubernetes and more, with an AI tutor that reads the code you actually wrote.
Rehearse on the machines you will be tested on.
Boot a real Linux box with Postgres, Redis, Kubernetes or Kafka already running. No local setup, nothing to break on your laptop.
Get a score you can put in front of a hiring team.
One hour, one broken box, one goal: fix it. You are graded on the fix, and the rank is yours to share.
Free to start. No credit card, no local setup.
From SRE to senior backend, every role gets a real environment to prove their craft.
FAQ
Notes on technical hiring, real-world interviews and the engineering behind EasyEnv.
Under the EU AI Act, AI used to screen or evaluate candidates sits in the high risk category. Here is what that actually asks of you as an employer, the questions to put to your assessment vendor, and how to structure a process you could defend.
Read more
When the model has shell access, the question is no longer whether a candidate can write the code. It is whether they can supervise something that writes it faster than they can read it. Here is how to test that on a real repository.
Observability interviews usually become tool interviews, which sort candidates by which vendor their last employer bought. Here is how to test the actual skill: narrowing down a failure that only happens to four percent of requests.
