Tech

If you have a technical background, you will find that 70% of real startup problems have nothing to do with code. The product is only step one. After that come sales, communication, cash flow, debt, cofounders, and timing.

Clarifies the distinction between Tools (primitive functions), Skills (complex workflows), and the Model Context Protocol (MCP) in agentic AI, providing an architectural framework for developers to choose the right abstraction for their use case.

Provides a practical guide to implementing a persistent memory system for AI coding agents, advocating for a simplified, file-based approach with a manual ‘/save’ command to capture session context, delivering most of the value with minimal complexity.

Outlines a disciplined, four-phase framework for rapidly building a production-ready iOS MVP using an AI assistant, emphasizing rigorous upfront system design, sequenced prompting, and a strict validation loop with atomic Git commits.

Analyzes the viral success of OpenClaw, an open-source AI assistant that operates locally with OS-level execution, exploring its key innovations like proactive tasks and a decentralized skill ecosystem, while also highlighting its significant security implications.