The landscape of AI development is shifting from systems that simply respond to queries to those that can act independently. OpenAI's Agents SDK, released in March 2025 and now boasting 20.7k+ GitHub stars, represents a significant step forward in making multi-agent systems accessible to developers.
DevOps removed the dev/ops wall. SRE removed the scale wall. FDE is hitting the enterprise deployment wall — and the field has not yet named what it is building.
OpenSpace is a groundbreaking self-evolving skill engine that transforms AI agents into continuously learning systems. With 4.7k+ GitHub stars and active development, it's reshaping how agents like OpenClaw, Claude Code, and Codex learn from experience and share knowledge across teams. What is OpenSpace? OpenSpace is an open-source
Should you use a Kubernetes operator or MCP servers for FDE infrastructure? It's the wrong question. They operate at different layers of the stack and you'll eventually want both.
AutoGen is Microsoft's pioneering framework for building multi-agent AI applications that can act autonomously or collaborate with humans. With over 56,800 GitHub stars and active development, AutoGen has become the de facto standard for orchestrating complex AI agent workflows at enterprise scale. Originally developed at Microsoft Research,
In Post 4 I argued Kubernetes operators are the wrong tool for most enterprise FDE. Here's the beachhead architecture for the environments where they are the right tool.
Claw Code has become the fastest-growing open-source AI coding agent on GitHub, reaching 172,000+ stars in just a few months. This Rust-based implementation reverse-engineers Claude Code's core architecture, offering developers a rare glimpse into how production-grade AI agents handle code generation, tool execution, and agentic workflows. With
OpenAI and Anthropic's FDE models look nothing like what works at a Stuttgart manufacturing plant. The constraints are different. The infrastructure needs to be too.
The FDE model produces outcomes no other delivery model can match. The economics don't work unless you systematize what your engineers learn in the field. Here's the math.
Gary's COBOL job runs at 2 AM. It has no documentation. He's retiring in November. This is why product-led growth fails in enterprise — and why Forward Deployed Engineering exists.
Opening Agno is reshaping how developers build autonomous AI systems. With 39.1k GitHub stars and active development (latest commit 14 hours ago), this open-source framework provides a complete runtime for agentic software—from building intelligent agents to deploying them as production APIs. Unlike traditional chatbot frameworks, Agno treats streaming,
Sarah is the future of enterprise software delivery — brilliant, expensive, and completely unscalable. Unless you give her an operating system. The case for FDE infrastructure.