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.
How a localized open-source experiment exposed the fatal flaw in enterprise Kubernetes AI deployments — and why the monolith is the only sane architecture for stateful AI agents.
Opening Agno is an open-source runtime for building, deploying, and managing agentic software at scale. With 39,100+ GitHub stars and active development (commits within the last 24 hours), Agno has emerged as one of the fastest-growing AI agent frameworks in 2026. It solves a critical problem: most agent frameworks
Every major enterprise software failure has the same root cause: the people who built the product never understood the environment it was deployed into. Forward Deployed Engineering is the fix.
What is Agno? Agno is a Python framework for building AI agents that can think, reason, and take actions autonomously. Unlike traditional chatbot frameworks, Agno provides a complete runtime for agentic software—combining a high-performance framework with AgentOS, an enterprise-ready control plane for managing agents in production. Created by Agno