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 […]
Category: Agent Optimization
Introducing PiPy: a minimal Python agent harness for SuperQode
Coding agent harnesses are getting lot of traction at the moment and something interesting has been happening in the coding agent space. The frontier labs have spent it making their […]
SuperQode A2A: Coding harness-to-harness communication with QM
Coding agents no longer live only inside one terminal session. Some products act like company computers, with shared rooms, durable sandboxes, and Slack or web surfaces. Others treat the harness […]
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 Speaks on RLM at the AI Engineer World’s Fair 2026
Superagentic AI returned to the AI Engineer World’s Fair 2026 Online Track with a second talk, “RLM: Recursive Language Models for Large Codebases.” The session, delivered by Shashi Jagtap, Founder […]
What’s New in SuperQode: Latest Models, Smaller Core and Python-Extensible Harnesses
The coding-model landscape is moving faster than the software around it. In the space of a few weeks, OpenAI introduced GPT-5.6, xAI released Grok 4.5, Meta launched Muse Spark 1.1, […]
Self-Optimizing Coding Agent Harnesses with SuperQode
Coding agents have become a practical part of software development workflows. Tools such as Codex-style agents, Claude Code-style agents, OpenCode-style agents, and IDE-integrated assistants are increasingly good at reading repositories, […]
Superagentic AI Hosted Largest Technical Side Event of AI Engineer World’s Fair on Harness Engineering
During AI Engineer World’s Fair week in San Francisco, Superagentic AI hosted Harness Engineering: State of the Art in Agent Harnesses at AWS Builder Loft. The event received more than […]
Introducing SuperQode: The Era of Harness Independence and Self Harness Engineering
The Agentic coding agent market has spent the last year focused on model independence. That focus remains important, but it is no longer sufficient. A coding agent consists of a […]
Optimizing Databricks Omnigent Agents with MetaHarness
Databricks has just released the Omnigent the meta-harness for the AI agents. It is timely that Superagentic AI released meta-harness library few months ago. These meta-harness concepts sounds same but they […]