Engineering standards platform
Engineering standards. Consistent everywhere.
KumiQ gives software engineering teams one central place to manage their standards and seamlessly propagate them across teams and AI agents, so AI-assisted development stays aligned with how your organization builds software.
KumiQ standards
Conventions · Architecture · Practices
Payments team
AI agents
Platform team
AI agents
Mobile team
AI agents
AI adoption is scaling faster than engineering consistency.
Every team has its own instructions, workflows, and conventions. As AI coding agents become part of everyday development, keeping everyone aligned with shared engineering standards becomes harder.
Standards scattered across teams and tools.
AI-generated code that may not follow shared conventions.
Engineering leaders relying on manual reviews to maintain consistency.
One source of truth. Every team. Every AI agent.
1. Define
Centralize your engineering standards in KumiQ.
2. Propagate
Make those standards accessible across teams and AI-assisted development workflows.
3. Enforce
Help identify deviations through standards-aware code reviews and other mechanisms as they become available.
Scale AI development without fragmenting your engineering practices.
The outcomes KumiQ is designed to support:
- More consistent engineering practices across teams.
- Less duplicated effort maintaining guidelines.
- Better alignment between AI-generated code and organizational standards.
- Easier access to shared engineering knowledge.
- A scalable foundation for AI-assisted development in complex or regulated environments.
Built for engineering organizations, not just individual developers.
KumiQ is designed for organizations that need multiple teams to adopt AI while keeping shared quality, architectural, and engineering expectations. It is especially relevant where consistency and traceability matter. KumiQ does not provide regulatory certification or compliance guarantees.
Make your engineering standards work across every team.
Bring your engineering guidelines into one place and build a more consistent foundation for AI-assisted software development.
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