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EasyEnv
Interview Engineers in Real Work Environments
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.
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?
About EasyEnv on Product Hunt
“Interview Engineers in Real Work Environments”
EasyEnv was submitted on Product Hunt and earned 40 upvotes and 19 comments, placing #28 on the daily leaderboard. 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.
On the analytics side, EasyEnv competes within Hiring, Artificial Intelligence and Career — topics that collectively have 490.6k followers on Product Hunt. The dashboard above tracks how EasyEnv performed against the three products that launched closest to it on the same day.
Who hunted EasyEnv?
EasyEnv was hunted by Mo Efazati. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of EasyEnv including community comment highlights and product details, visit the product overview.
Mo Efazati
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?