Why Your AI Agent Architecture Is Failing: Bridging Security Holes, Planning Failures, and Real-World Dev Workflows

Explore critical architectural flaws in AI agents beyond LLMs, focusing on security (MCP), planning, and integrating agents into robust development workflows.