Stop writing MCP boilerplate for your AI Agents.
The "10-to-1" rule says we spend 10x more time reading code than writing it. Yet, when connecting AI agents to databases, we are seeing developers drowning in manual boilerplate—writing endpoints, validation logic, and maintaining llms.txt files just to expose a simple query. We built Hyperterse to kill that toil. Define: A simple config.terse file. Run: A high-performance server. Result:...
Hyperterse - The production data interface for AI agents
Hey PH! 👋 I’ve been heads-down building Hyperterse, and I’m excited to finally share it with you. We are currently witnessing a massive shift from passive chatbots to active AI Agents. But for these agents to be useful, they need access to your production data, and right now, providing that access is a nightmare. The "Data Access Gap" is real, and it’s expensive. The Reliability Trap: Relying...
