Launching today
EasyEnv
Interview Engineers in Real Work Environments
54 followers
Interview Engineers in Real Work Environments
54 followers
EasyEnv helps companies hire engineers who can actually ship. Candidates solve real-world engineering problems with access to machines, databases, services, logs, and job-like tools. Teams can optionally allow AI chatbots or agents, then evaluate how candidates prompt, verify, debug, and solve problems in practice. Every session is recorded, scored, and easy to review, so hiring decisions are based on real evidence.
Hey Product Hunt 👋
I’m Mo, co-founder of EasyEnv.
In EasyEnv, companies can give candidates real-world problems they might face day to day. Candidates get access to the whole environment, including machines, databases, services, logs, and tools, so they can investigate, debug, and solve problems the way they would on the job.
Companies can also choose to let candidates use AI chatbots or agents during the interview.
Instead of treating AI as cheating, teams can see how candidates actually use it: how they think, prompt, verify, debug, and move faster without losing judgment.
Our goal is simple: help companies hire engineers who can actually ship in the AI era.
We built EasyEnv because engineering interviews should reflect how people actually work today.
I’d love your feedback: how should companies evaluate AI skills during technical interviews?
@efazati
Having a history of AI usage during interview seems a good idea, maybe tracking their token usage would be interesting as companies started to see the efficiency of using AI!
Overall, Seems very nice product, I like it till here!
Seem like a nice product. One question, when a candidate uses AI during the interview, how do you separate "strong engineering judgment" from "fluent with this specific AI tool"? A candidate who lives in Claude Code or Cursor every day will move very differently from someone equally skilled who just hasn't built the muscle memory, even if their underlying judgment is identical. How does EasyEnv score the thinking (how they prompt, verify, and catch the AI being wrong) without accidentally rewarding tool familiarity or penalizing it?
Hi Product Hunt!
I'm one of the co-founders of EasyEnv.
Building EasyEnv has been an interesting journey because we kept asking ourselves one question: Why don't technical interviews look more like the actual job?
Instead of whiteboard exercises or isolated coding challenges, we wanted candidates to work in real environments, investigate real issues, collaborate with AI when appropriate, and demonstrate how they think under realistic conditions.
Seeing the first teams use EasyEnv has been incredibly rewarding, and we're just getting started.
Thanks for checking us out, and we'd love to hear your feedback. What would make technical interviews feel more representative of real engineering work?
Huh! Hopefully interviewing will be less stressful if more companies adopt this solution, instead of having to go refresh l33t coding skills every couple of years :P
This is incredible, far superior to offline programming tasks or basic technical QA. you get to witness candidates in action firsthand.