AI coding assistants drift. Every new session starts with zero context — and slowly, your architecture diverges from its own conventions. AI-Native Boilerplate is a structured discipline layer for AI agents (Claude Code, Cursor, Copilot, Windsurf, Cline). A generator builds a single token-efficient context file tailored to your stack, so your agent follows your rules from session one. 6 layers: Core → Stack → Features → Design System → Custom → Compliance (GDPR, HIPAA, SOC2, PCI) MIT licensed.
Hey Product Hunt! 👋
I'm Srikanth, the maker of AI-Native Boilerplate.
This started as a personal frustration — I was building production apps with Claude Code and Cursor, and no matter how carefully I set up my architecture, the AI would slowly drift from my conventions. New session = blank slate = drift.
The fix was structural: encode your rules once, generate a single context file, and your agent follows them consistently across every session.
The project is MIT licensed and I'm actively maintaining it. Would love your honest feedback — especially from teams already using AI coding agents in production.