Write your spec
You already write specs. Drop your feature spec into Slack, and Kerex gets to work. No new tools to learn, no workflows to change.
Now accepting early access signups
Don't let time be the
enemy of shipped.
You wrote the perfect spec three weeks ago. It's still in backlog.
Kerex turns your specs into production-grade code.
You know this feeling.
You spent three days with customers. You analyzed the data. You distilled everything into 10 lines of a spec that could transform how a customer feels about your product. A button here. Some copy there. A simple config tweak.
You know exactly what needs to change. And then it sits. For weeks. Sometimes months. Not because engineering disagrees. Not because it's hard. Just because there's always something more important.
Meanwhile, competitors ship.
3 weeks
Updated onboarding copy
6 weeks
Dashboard filter toggle
4 months
Export button placement
"You're reading my mind with the pain points you describe."- Product Manager
The ratio is inverting.
"For the first time in my life, managers are proposing having twice as many PMs as engineers."- Andrew Ng
Product thinking is scaling faster than ever. But PMs still can't act on their insights without competing for engineering time. AI changed everything else. It hasn't changed this. Every AI coding tool is built for developers. They live in IDEs, assume technical knowledge. PMs need tools that meet them where they are. In Slack. Speaking in specs, not syntax. Not to replace engineers — to stop wasting their talent on the small stuff.
From spec to shipped in three steps
No new tools to learn. No workflows to change.
AI builds the feature
Kerex translates your requirements into production-ready code. Watch progress in real-time, ask questions, and refine as it builds.
Review and ship
Engineers review the PR, not build from scratch. They focus on code quality. You focus on what to ship next.
AI took away the toil. Now I love being an engineer again.
This isn't about replacing engineers. It never was. Kerex handles the small stuff. The button. The copy. The config tweak. Engineers stay in the loop. Every change goes through a PR. They review, they approve, they merge.
Before Kerex
- Context switching between tickets
- Button placement changes
- Copy updates and typo fixes
- Simple config adjustments
With Kerex
- Deep architecture work
- Complex feature development
- Creative problem solving
- Quick PR reviews (not builds)
No surprise code
Every change is a PR. Engineers see exactly what's being proposed.
Follows your patterns
Matches YOUR style, YOUR standards. No alien code in your codebase.
Removes toil, not jobs
Engineers do meaningful work. The boring stuff handles itself.
We're not trying to boil the ocean.
Other AI tools promise to build your entire app. We do small things. On purpose.
"Limited" is a feature
We're not asking you to trust AI with your architecture. We're asking you to trust it with a button. One button. See if it works. Then another.
Your code. Your keys. Your control.
Your key
Bring your own API key. Your provider, your data agreement.
Your code
We don't retain your code. It flows through, never stays.
Your process
Works inside your existing review flow. No new workflows to adopt.
Your patterns
AI follows your existing standards. No style conflicts.
How ready is your codebase?
AI agents work best when your repository gives them context. We built a free tool that scores your repo across four dimensions and tells you exactly what to improve.
Analyse any GitHub repository, public or private, and get a detailed readiness score in under two minutes.
Check your repository
Detection Confidence
Agent Instructions
PR Verifiability
Documentation
The feature that never shipped.
You know the one. The improvement you've wanted to make for months. It's sitting in your backlog right now.
Or it could ship this week.
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Export to CSV
Updated onboarding
Filter by date
Better error messages
Get early access
Currently onboarding design partners.
No credit card required. We'll reach out within 48 hours.