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Context is Primary, Code is Manifestation
A framework that standardizes AI-First development processes. You decide what to build, AI generates the code. Enable sustainable 'vibe code' while keeping you in control.
Context Mesh is a framework that standardizes how you work with AI in development. It enables 'vibe code' - describe what you want, AI builds it - while keeping you in control of all decisions.
Working with AI feels powerful, but you're constantly fighting context loss and repeating yourself. Every session starts from zero.
Context Mesh provides a standardized framework for AI-First development. You define intents, AI generates code aligned with your context. No more explaining from scratch.
A simple, repeatable process that transforms how you work with AI.
Built for the AI-first era, Context Mesh provides everything you need for effective human-AI collaboration.
2 developers migrated a complex React monolith into 10 micro front-ends in 15 days
Details:
The monolith was an automation platform for software development workflows using AI, containing 10 internal tools with medium-to-high complexity, hard to understand, no consistent standards.
How:
Ran Intent (plan) for each tool before coding (about 4-5 days total), used Build + Learn for the remaining time, updating context whenever needed
Key Achievement:
What typically takes months of planning and migration was completed in 15 days with just 2 developers
Built context-mesh.org with 2-3 hours in Intent planning and < 1 hour in Build
Result:
Production-ready website built in under 4 hours total
"Context Mesh transformed how we work with AI. Instead of fighting context loss, we now have a system that preserves and evolves our project knowledge."
A comprehensive analysis comparing development time with traditional AI vs Context Mesh
Setup (2-3h) + Design System (4-6h) + Layout (3-4h) + Pages (8-12h) + Resources (4-6h) + Docs (6-8h) + Integrations (4-6h) + Polish (3-4h) + Translation (6-8h) + Debugging (4-6h)
Challenges:
Context loss between sessions, repeated explanations, ad-hoc planning, discovery overhead
All phases executed with persistent context, documented decisions, specialized agents, and reusable patterns
Advantages:
Persistent context, documented decisions (ADRs), specialized agents, reusable patterns, execution guide
What would normally take 53 hours was completed in just 50 minutes using Context Mesh methodology.
Faster delivery cycles - Context preservation reduces time spent on understanding and reconstruction
Reduced documentation overhead - Context Mesh structure makes documentation part of the workflow
Faster development cycles - AI tools work more effectively with rich context
Faster onboarding - New developers productive in days instead of weeks
Better code quality - Decisions and patterns preserved with full context
Monolith to Micro Front-ends: Large-scale application decomposition
Legacy Modernization: COBOL, JavaScript, Python code transformation
Team Scaling: Faster onboarding and knowledge transfer
Complex Tool Migration: Multi-tool platforms with preserved context
Design-to-Code: Seamless integration with design workflows (Figma)
Start building with AI-first principles in minutes. Choose your path: quick prompts or deep documentation.