Finally: Generative AI that works like engineering teams do. Laminar Flow is Process Driven and Iterative.
Why AI code generation falls short
Current AI code generation treats AI like a super-fast junior developer:
give it a task, hope it works, review everything.The problems senior engineers see:
- Ignores your codebase patterns
- Generates code that works alone but breaks integration
- Changes everything when you asked for a small fix
- No planning, no guardrails, no structureThat's not how engineering teams work. And it's not how Laminar Flow works.
How Laminar Flow Is Different
Laminar Flow applies proven engineering process to AI code generation.Real context through MCP (Model Context Protocol):
- Agents read your actual codebase to understand patterns
- Access your documentation to avoid hallucinating APIs
- Query your tools and infrastructure for accurate implementationYour patterns through Skills:
- Define your team's conventions once
- Agents apply them automatically to all generated code
- Load compliance requirements, security policies, domain rulesSpecialized AI agents with clear roles:
- Planning Agent defines scope and approach
- Design Agent proposes architecture following your patterns
- Test Agent writes tests first (TDD)
- Implementation Agents generate code to meet architecture requirements
- Security and Review Agents validate qualityHuman oversight at key checkpoints:
- Approve the plan before implementation
- Approve tests that define "done"
- Validate in preview environment
- Deploy with confidence
Request Early Access
In active development. Beta targeted for Q1 2026.Early signups get first access.