Back to the Future: How AI Agents are Reviving Waterfall (but better)
Analyze how AI agents are reviving Waterfall-like planning phases ('Micro-Waterfall') within Agile workflows to maximize efficiency and reduce costly iterations.
Analyze how AI agents are reviving Waterfall-like planning phases ('Micro-Waterfall') within Agile workflows to maximize efficiency and reduce costly iterations.
A step-by-step guide to setting up the Figma MCP server on Google Antigravity, including critical fixes for local server configuration and stdio mode.
Discover why README.md isn't enough for AI agents and how AGENTS.md provides the explicit, executable context needed for autonomous workflows.
Explore how the humble README.md is evolving into a critical 'Context Anchor' for AI agents in microservices architectures, bridging the gap between human understanding and AI execution.
Explore how the MCP transforms the traditional 'human router' workflow into an automated feedback loop, enabling 'Vibe Coding' where the AI iterates on the feedback loop until the code is correct.