2,000+
candidates for one AI role
One AI-focused role drew more than two thousand candidates during the pre-launch beta.
Products / Technical hiring
Hire the engineer who builds with AI.
Every company wants engineers who can build with AI. Almost none of them can test for it. DevMesh puts a candidate in front of a task that resembles the job and scores the result and the reasoning behind it. In public beta today.
The screening gap
The technical screen is ten years old.
Reverse a linked list, balance a tree, find the cycle. Those questions endured because they were cheap to ask and easy to grade. They no longer measure the thing that separates a strong engineer from a weak one.
An AI-native engineer spends less of the day typing an implementation and more of it deciding what to build, directing a model toward it, and checking that what came back is correct. None of that shows up on a whiteboard question about pointers. A candidate can be excellent at the modern job and mediocre at the 2016 test, and the test will reject them. The signal moved. Most screens did not.
DevMesh's approach
A small, honest sample of the real work.
DevMesh doesn't just score a submission. It watches how a candidate moves through a task, with the tools they would use on the job.
01.
A task that resembles the job
The candidate frames a vague problem into something a model can be pointed at, instead of starting from a clean spec someone else wrote.
02.
The tools they would use
A live code editor with a knowledge-base assistant beside it. They work the way they work on the job.
03.
The result and the reasoning
DevMesh scores what they built and how they got there, not whether they reproduced an algorithm they will never write by hand again.
04.
Verification counted
Reading generated code with suspicion, and saying how they know it is correct, is scored as the job it is.
What the beta showed
Five hundred assessments in a day.
Years on a resume told us nothing about how someone scored. The most consistent failure was tests: everyone shipped with AI, almost nobody verified what they shipped.
500+
assessments in 24 hours
Completed in a single day. The results did not line up with a single resume.
8.3
best score out of ten
Most candidates landed between 4.6 and 6.6. Not one person cracked nine. The skill is not being taught, so almost everyone is self-taught and halfway there.
Proof
Placed second in a room of people shipping with AI.
DevMesh took second place at India Builds with Claude, a builder showcase run by Anthropic with Razorpay and Peak XV Partners. Two thousand three hundred applications, one hundred and fifty builders, six demos on stage, one audience vote.
The beta assessed more than a hundred candidates in its first hour. If you are hiring for AI-native teams, this is the signal you have been missing.
Seeing is the pitch.
Bring us the workflow that eats your team's week. We'll show you what we would rebuild, and how it runs.