Policy in.Proof out.
AI Coding Tools don't know your architecture rules. Korext enforces them, then proves every change met your standards.
AI Coding Tools don't know your architecture rules. Korext enforces them, then proves every change met your standards.
AI coding tools generate thousands of changes daily. But no system verifies they follow your architecture rules, security standards, or framework migrations. The faster AI ships code, the wider the gap.
Every merge gets an exportable evidence package showing which policies ran, what passed, and who approved exceptions.
AI Coding Tools can pass your tests and look correct, but they don't know your architecture standards
AI suggests old APIs you've moved away from, legacy state management, or patterns that worked in 2020 but not your current stack.
Large bundle sizes, unnecessary re-renders, N+1 queries. AI doesn't measure what it ships.
Every developer gets different suggestions. Your codebase fragments into five different ways to do the same thing.
XSS vectors, SQL injection risks, exposed secrets. Especially in refactors where context gets lost.
•Models are trained on public repos, not your architecture decisions
•They optimize for "most common pattern" not "your team's pattern"
•Your standards evolve faster than model retraining
Korext enforces your rules where AI writes code
Three engines that enforce your architecture at every stage
Prevents legacy patterns at inference time. AI gets your current standards before it writes code.
Use AI for framework upgrades and architecture migrations with automated parity checks.
Example: React class → hooks migration
Blocks technical debt before it merges. Every PR checked against your policies at IDE, PR, and CI.
All three engines generate proof bundles that show what policies ran, what passed, and who approved exceptions.
Teams that need AI speed without breaking standards
Enforce standards across repos without manual review
Block vulnerabilities before they reach production
Ship faster with AI while keeping code quality high
Get instant feedback on AI code before pushing
Enforcement gates control what gets merged. Adoption tools drive developer-led growth.
Enforcement Gates → Generate proof bundles
Catch issues while coding
Review-time enforcement
Final gate before merge
Adoption Tools → Drive developer-led growth
Fast installs that meet developers where they work. Use these to convert free users into Pro teams and pilots.
View proof bundles in your PR UI
Policy hints for ChatGPT, Claude, Cursor
Check locally before you push
Approve exceptions in chat
This is a sample proof bundle. In production, bundles include full policy evaluation results, CI logs, and approval chains.
A complete, exportable evidence package that answers: "Why was this change allowed?"
Was it approved, warned, or blocked? When did it happen? Which policy version was active?
Every rule that ran, which version, and how it was configured
What passed, what failed, code snippets, and explanations
PR metadata, commit SHA, who wrote it, who reviewed it, who approved exceptions
Export format: JSON, PDF, or CSV. Ready for audit tools, incident response, and compliance reports.
Everything your procurement and security teams need
From individual developers to enterprise governance
Try Korext surfaces for AI-assisted coding
For individual developers exploring governance
Developer-level AI change governance workflows
For small teams enforcing policy
Full policy management for large teams
Everything you need for org-wide policy enforcement
Everything you need to know before starting a pilot
Still have questions?
Email us at partner@korext.comAdd Korext to your repo and start enforcing policies in minutes
Free during setup. No credit card required.