Last week, I returned to London from the San Francisco Bay Area with renewed energy, fresh insights, and a deep appreciation for the people driving artificial intelligence forward. Since back, […]
Category: Agentic DevOps
PyFlue 0.2.0: Bringing Flue’s Agent Runtime Model to Python
PyFlue 0.2.0 is now available. This release is a major step toward parity with the TypeScript Flue framework and introduces a clearer runtime model for building production-oriented Python agents. The […]
Grok Build Enters the Agentic Coding Arena with Official Grok CLI: Game ON
xAI has officially entered the agentic coding arena. On May 14, 2026, the company launched an early beta of Grok Build, its native agentic command-line interface (CLI). In the launch […]
Introducing PyFlue: The Python-Native Agent Harness Framework Inspired by Flue.
The CEO of HTML, Fred Schott released Flue , the TypeScript community quickly recognized its significance. A true agent harness framework with Markdown-driven skills, headless and programmable design, zero-config sandboxing, and […]
Agentic Harness Engineering: The Next Frontier After Harness Engineering
Harness Engineering has become AI trend these days and now it reached to the next level. In our earlier post, Harness Engineering: The Hottest Topic in AI Agent Engineering, we […]
Launching the London Agentic AI Community Website
Superagentic AI is excited to announce the launch of the new official website for London Agentic AI, a community created for engineers, researchers, founders, and practitioners building real-world AI agents […]
Year One of Superagentic AI: From Apple to Agentic AI Engineering
Today, April 28 2026, marks the first anniversary of Superagentic AI. One year ago, on April 28 2025, Superagentic AI was officially incorporated. A few days before that, I had […]
Official Meta-Harness Repo + Packaged Power = Coding Agent metaharness
Stanford IRIS Lab officially released the reference code for Meta-Harness, their groundbreaking framework for autonomously optimizing the code scaffolding around a fixed large language model. The announcement quickly gained traction […]
Introducing Agentnetes: Self-Discovering AI Agent Swarms, On Demand
On 21 March, I attended Zero to Agent London, a hackathon hosted by Google DeepMind and Vercel. The challenge was simple: build something with agents. The result was Agentnetes, an […]
Introducing RLM Code: A Research Playground for Recursive Language Models
Superagentic AI is proud to announce the RLM Code today. Recursive Language Models (RLMs) are the hot topic at the moment, If you are following the long-context debate, you have […]