Insights, tutorials, and updates from the EasyEnv team.
A practical path to becoming a technical recruiter who engineers respect, from learning the stack to running tech screening that actually predicts who can do the job.
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A generation of engineers learned to code with AI from day one. Some are genuinely fast and capable. Others fall apart the moment Claude gives them wrong advice. Here is how to tell them apart before you hire.
If a model can pass your coding round, the round was not testing the right thing. The question is not whether AI will replace engineers. It is whether AI already broke your interview.
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You told the candidate they can use Claude. Now you are watching the recording. Here is what to actually look for.
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New tool, new stack, new skill gap. The right answer is sometimes hire and sometimes train. Here is how to choose.
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A candidate's public GitHub holds real signal if you know what to look for. And what to ignore.
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"Productive on day one" sounds great. Pick one metric you can actually measure, then design the workspace to hit it.
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AI fluency is a real skill, but typing speed in a chat box is not it. Here is how to test if an engineer can actually work with AI tools.
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Live coding calls across time zones lose good candidates to fatigue and scheduling. Async technical interviews give you more signal in less calendar pain.
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