The original title is "enable Consistent AI Coding with Persistent Context Layers"

Short summary

AI coding agents produce consistent, production-ready code when they have persistent context: files with code patterns, test suites, and convention files (CLAUDE.md, .cursorrules). Ephemeral sandboxes like v0 and Bolt are great for 30-minute spikes but cause drift across sessions because agents can't read from previous work. The solution: ship context-rich repos or kits with pre-written components, tested conventions, and design tokens that keep agent output stable.

• •Persistent context (files, tests, conventions) keeps AI agents consistent across sessions
• •Ephemeral sandboxes work for prototypes but cause drift in multi-session projects
• •600 bytes of CLAUDE.md + .cursorrules is cheaper than vector stores or fine-tuning

Generated with AI, which can make mistakes.