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 […]
Building London Agentic AI. Solo: One Year of a High-Signal AI Community
Building tech communities remains my passion for long time. I was building communities in London since 2012 if you see my meetup profile, I have built communities in DevOps, Test […]
New OpenAI Agents SDK: The Dawn of Extreme Harness Engineering
OpenAI released a major evolution of its Agents SDK as a fundamental rethinking of how agents should operate in production. They introduced an open, inspectable harness for orchestration and a clean […]
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 […]
Open Memory and Open Harness Is Not Enough: You Need Self-Optimizing (Self-Healing) Harness
Recently there is a lot of discussion on agent Main and harness initially anthropic put a blog post on scaling managed agents which gone viral is and replied to that […]
What OpenClaw Vs Anthropic Drama Taught Us: The Urgent Need for Self-Optimizing Harness Engineering
Recently, OpenClaw took off like a one of the greatest breakthrough in the AI. People are going crazy to setup OpenClaw to automate the tasks. All looked very good until […]
Gemma 4 with MLX for Local Agentic AI at Superagentic AI
At Superagentic AI, we have published a new MLX 4-bit conversion of Gemma 4 31B IT for Apple Silicon workflows. The model is now available on Hugging Face at SuperagenticAI/gemma-4-31b-it-4bit-mlx. […]
Meta-Harness: A Self-Optimizing Harness Around Coding Agents
Stanford AI lab just released the Meta Harness paper which covers the meta harness strategy that self-optimise. Most conversations about coding agents focus on the model. People compare model quality, […]
Harness Engineering: Why It’s Suddenly the Hottest Topic in AI Agent Engineering
If you build agents, you already know the feeling: the model is smarter than ever, yet your agent still flakes on long tasks, loses context, or ships brittle code. The […]