The industry has come to accept that a coding agent is only as good as the harness around its model. The system prompt, the memory the agent carries, the way […]
Category: Agentic DevOps
Run Codex Your Way: Native Codex in SuperQode
Coding agents now run real commands against real repositories, and the teams adopting them have learned that the model is only one part of the system. The harness around the […]
SuperQode on the Unified Harness Protocol and HarnessRouter
Coding harnesses have been arriving at a steady pace. Muse Code from Meta, fx from Vercel Labs, and Prime Agent from Prime Intellect all landed in recent months, each with its own loop, its own tools, […]
Prime Agent in SuperQode: Second RLM based coding harness after RLM Code
Prime Intellect released Prime Agent. The agent was developed for coding workflows and long-running autonomous tasks, and it is built on the Recursive Language Model (RLM) approach. SuperQode adds support for Prime Agent through […]
GEPA Omni in SuperQode: Three Optimizers Compete on a Coding Harnesses
The team behind GEPA has just released the Omni to make agent optimisation unified. SuperQode, our agent engineering platform for coding factories has already integrated this and experienced with tit for […]
Superagentic AI at the Google I/O and CAIS Conference: Reflections from Bay Area
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, […]
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 […]