Built by an AI researcher & founding engineer

Your QA team
never sleeps.

CodeHawk is an AI autonomous QA engineer that reviews every PR, generates tests, and catches bugs before they ship. Not a tool you configure. An employee that works.

Free during beta • No credit card required

You're on the list. We'll be in touch.

codehawk watching main
✓ PR #247 reviewed — 2 issues found, fix suggested
✓ Generated 14 test cases for auth/middleware.ts
✓ Regression caught in payments module — blocked merge
✓ Nightly report sent to #engineering
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Founder's engineering background
PayPal Siemens PayU GyanDhan UMN Twin Cities
The problem

Your best engineers are stuck doing QA instead of building product.

40%
of engineering time goes to code review, testing, and bug triage
3.2d
average PR-to-merge time at companies with 50+ engineers
72%
of prod bugs could have been caught with better test coverage
What CodeHawk does

One agent. Four jobs.

🔍

Autonomous PR Review

Every pull request reviewed in minutes. Reads the diff, understands context, flags real issues, suggests fixes. No human trigger needed.

🧪

Test Generation

Analyzes your codebase and generates targeted tests for changed code. Unit, integration, edge cases you didn't think of.

🚨

Bug Triage

When something breaks, identifies root cause, traces it to the commit, and creates a detailed report with reproduction steps.

📈

Quality Reports

Daily and weekly reports on code quality, test coverage gaps, recurring issues, and velocity. Signal, not noise.

Who's building this

Built by a founding engineer who lived the pain.

Jayant Sharma is an AI researcher specializing in 3D Computer Vision — scene understanding, novel view synthesis, and 3D shape reconstruction. He holds an MS from the University of Minnesota-Twin Cities.

But the insight behind CodeHawk didn't come from a lab. It came from the trenches. As a twice-founding engineer — the first hire outside the founding team at two startups — Jayant built entire tech stacks from scratch, shipped under brutal deadlines, and watched quality become the first casualty of speed.

CodeHawk exists because he refused to accept "move fast and break things" as inevitable. If AI can reconstruct 3D scenes from images, it can certainly understand code well enough to catch the bugs humans miss.

Connect on LinkedIn →
🏠
Founding Engineer & Sole Tech Lead GyanDhan • 18 months

First employee outside the founders. Built the entire education loan marketplace tech stack from the ground up. Company raised $7.78M.

First hire • $7.78M raised
👁
R&D Engineer — Computer Vision Playtag • Early Childhood Education

Built 3D Computer Vision algorithms powering AI behavior analytics for early childhood education. Applied cutting-edge CV research to a real product.

3D CV • AI behavior analytics
🎓
AI Research — 3D Computer Vision University of Minnesota-Twin Cities • MS

Specialized in scene understanding, novel view synthesis, and 3D shape reconstruction. The same AI rigor now applied to understanding code.

Scene understanding • Novel view synthesis
The difference

Tools assist.
CodeHawk works.

⚠ Traditional AI tools

  • You ask, it answers
  • Suggests code when prompted
  • Runs when you trigger it
  • Reports what you ask for
  • Another tab to manage

◆ CodeHawk

  • Monitors every commit autonomously
  • Reviews PRs without being asked
  • Generates tests on every change
  • Triages bugs and traces root cause
  • Works while your team sleeps

The best QA engineer you'll ever hire costs zero salary.

CodeHawk watches every line of code your team writes. Not because you asked it to. Because that's its job.

Free during beta • Built with real AI research, not hype

You're on the list. We'll be in touch.