Designing for AI Agents: Why Context Matters More Than Prompts

This article challenges the common approach of treating AI agents like smart contractors that can execute tasks through better prompts alone. The real bottleneck in AI-powered development is not raw intelligence but context—the environment, constraints, and structured information an agent operates within. By focusing on system design through MCPs, reusable skills, and project-specific documentation, developers can shift from unpredictable one-off interactions to reliable, repeatable results.