Ideas and field notes
Building applications in the AI era
AI coding agents are changing how applications get built. This series looks at the tools, workflows, design systems, and component libraries we need to make that change work well.
Article series
From vibe coding to agent-ready building blocks
- Published
Establish the Foundation Before Asking AI to Build a Large Application
Large, complex applications need reusable components, global architecture and business context, AI skills, and specialist agents before features are composed.
- Planned
Build Reusable Components with AI, Then Compose the Application
A component-first workflow for asking AI to find, build, extend, and compose reusable components into larger features.
- Planned
A Component Library for Humans Isn’t Automatically a Library for AI
What agents need to discover, understand, compose, and customize components reliably.
- Planned
The Missing Layer: Skills, Workflows, and Review for AI Coding
Why coding agents need project context, reusable skills, clear workflows, and thoughtful review.
- Planned
Design Systems as Guardrails for AI-Built Applications
How tokens, accessible components, and consistent patterns can guide generated applications.
- Planned
What an AI-Ready Component Library Needs
A practical set of principles for component libraries built for people and their coding agents.
- Planned
Building c2n for the Way Software Is Being Built
What c2n provides today, where it still has gaps, and what we are learning as we build for AI-assisted development.