AI writes code faster than teams can review
Teams target millions of AI-generated lines monthly—far beyond what human review can realistically handle.
Now accepting a small group of design partners ·
Autonomous AI coding is here.Unlock its ROI—safely
Speed
Build entire features in a single execution
Safety
Ship faster — without breaking production
Proof
Prevent costly rework and release delays
The problem
AI is generating code faster than organizations can govern it
Teams can’t verify what AI actually changed
Scans don’t catch whether changes were intended, authorized, or aligned with expected behavior.
Risks and defects increase as AI scales
At scale, AI-generated code increases defects by 20–30%, introducing more unintended changes.
The insight
We've seen this before.The problem isn't capability—it's trust.
1990
Core internet capabilities existedWeb browsers, email, TCP/IP were already functional.
1995
Adoption was slowEnterprises found the internet too risky for real business use.
2000s
Internet explodedFirewalls, antivirus, VPNs introduced control and built trust.
AI needs its antivirus, firewall moment.
What praxis does
Make autonomous coding safe to trust and ship—without slowing builders.
Define
Control what AI is allowed to do in your codebase - and match how your team actually ships.
Verify
Did AI do anything it shouldn't — and everything it should? Not just code scanning
policy enforcementintent validationprotect production
Prove
Maintain a complete audit trail — who approved what, when, and why — when regulators or leadership ask.
How praxis works
Every AI-generated change is verifiedbefore it ships
Connect your repo and AI tools.
Define policies for code changes.
Automatically verify and track every AI action.
Why teams adopt fast
- No workflow changes required
- CLI + CI/CD integration
- Setup in <15 minutes
- Minimal training (<15 min)
Block unsafe AI-generated changes from reaching production
export async function applyAiPatch(file: string, diff: Diff) {
const gate = await praxis.evaluate({ file, diff, policies });
if (!gate.allowed) throw new BlockedChangeError(gate.reason);
return mergeToBranch(file, diff);
}Workflow: AI-generated code changes are evaluated by Praxis; failed checks block the change from merging.
Who is praxis for
Built for enterprises that can'tafford to break production
Teams scaling AI-driven software development
Manual review is a bottleneck to productivity gains
Companies operating in regulated environments
Have audit-grade evidence ready. E.g. healthtech, fintech, chip manufacturing
Organizations shipping production-critical systems
One production issue can wipe out all gains. Turn AI from liability to multiplier.
Your questions, answered
Control your AI without slowing down your team
Adopt AI safely — with full visibility and enforcement at every step.
Is it easy to get started?
Yes. Connect your repository, plug into your CI/CD pipeline or CLI, and define your policies. Most teams are up and running in under 15 minutes.
Do developers need to change their workflow?
No. Praxis runs alongside your existing workflow. Developers continue using their current tools — Praxis automatically verifies AI-generated changes in the background.
Will this slow down our development velocity?
No. Praxis runs in your existing workflow and automates verification — so teams move faster without manual reviews or rework.
Can we customize what gets blocked or allowed?
Yes. You define the policies — what AI is allowed to change, what requires review, and what gets blocked. Policies can be updated anytime as your needs evolve.
How is this different from AI code review?
AI code review evaluates code quality and suggests improvements. Praxis enforces what AI is allowed to do — ensuring required changes aren’t missed and blocking anything that shouldn’t reach production.
Is this just another code scanner?
No. Scanners look for issues in code. Praxis verifies AI behavior — what it did, why it did it, and whether it should have — and enforces decisions before anything reaches production