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kodwai
The first platform that scores how you Vibe Code
Kodwai is the first platform that scores how well you collaborate with AI coding agents (Claude Code, Cursor, Codex). Solve real challenges in your own terminal; the CLI captures your code, tests, git history, agent transcript, and time, then scores you across three axes: Direction, Outcome, and Lift, each citing its own evidence. Climb a public leaderboard, earn badges, and build a profile that shows how you engineer, not what you memorized. Free, bring your own agent.
Three years ago we typed every line. Now most of us code by directing an agent, steering it, checking it, catching it when it's confidently wrong. That's the real skill, and nothing measures it. LeetCode tests memorized algorithms. Take-homes test free time. Neither reflects how we actually work.
So I built Kodwai. Pick a real challenge, solve it on your own machine with your own agent (Claude Code, Cursor, or Codex), and submit. We score the session across three axes: Direction (how you steer and verify), Outcome (what shipped and whether it passes), and Lift (the edge cases a one-shot prompt misses). Every score points to the evidence behind it.
Direction is half the weight on purpose. A careless prompt that passes the tests still scores low, because steering the agent well was always the hard part.
Free for developers, with a public leaderboard and a profile you can send instead of doing a take-home. Teams can run interviews on the same engine and watch the real session.
When you pair with an agent, what tells you it's going well or badly? That's what I'm trying to measure, and I'll be here all day. kodwai.com
About kodwai on Product Hunt
“The first platform that scores how you Vibe Code”
kodwai was submitted on Product Hunt and earned 29 upvotes and 11 comments, placing #8 on the daily leaderboard. Kodwai is the first platform that scores how well you collaborate with AI coding agents (Claude Code, Cursor, Codex). Solve real challenges in your own terminal; the CLI captures your code, tests, git history, agent transcript, and time, then scores you across three axes: Direction, Outcome, and Lift, each citing its own evidence. Climb a public leaderboard, earn badges, and build a profile that shows how you engineer, not what you memorized. Free, bring your own agent.
On the analytics side, kodwai competes within Education, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how kodwai performed against the three products that launched closest to it on the same day.
Who hunted kodwai?
kodwai was hunted by Ege Hakan Karaagac. 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 kodwai including community comment highlights and product details, visit the product overview.
Ege Hakan Karaagac
Hey Product Hunt, I'm Hakan, founder of Kodwai.
Three years ago we typed every line. Now most of us code by directing an agent, steering it, checking it, catching it when it's confidently wrong. That's the real skill, and nothing measures it. LeetCode tests memorized algorithms. Take-homes test free time. Neither reflects how we actually work.
So I built Kodwai. Pick a real challenge, solve it on your own machine with your own agent (Claude Code, Cursor, or Codex), and submit. We score the session across three axes: Direction (how you steer and verify), Outcome (what shipped and whether it passes), and Lift (the edge cases a one-shot prompt misses). Every score points to the evidence behind it.
Direction is half the weight on purpose. A careless prompt that passes the tests still scores low, because steering the agent well was always the hard part.
Free for developers, with a public leaderboard and a profile you can send instead of doing a take-home. Teams can run interviews on the same engine and watch the real session.
When you pair with an agent, what tells you it's going well or badly? That's what I'm trying to measure, and I'll be here all day. kodwai.com