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AI-Native Boilerplate
170+ rules that stop AI coding agents from drifting
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.
About AI-Native Boilerplate on Product Hunt
“170+ rules that stop AI coding agents from drifting”
AI-Native Boilerplate was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #130 on the daily leaderboard. 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.
On the analytics side, AI-Native Boilerplate competes within Design Tools, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how AI-Native Boilerplate performed against the three products that launched closest to it on the same day.
Who hunted AI-Native Boilerplate?
AI-Native Boilerplate was hunted by Srikanth Vemulapalli. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AI-Native Boilerplate including community comment highlights and product details, visit the product overview.
Srikanth Vemulapalli