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: Harness Engineering
SuperQode: A Jev Engineering–Aligned Coding Agent
Since we published SuperQode 2.5, the work on the terminal has been about making the harness usable as a daily coding surface: connect a provider or an agent, stay in […]
Introducing SuperQode v2: The Harness Interoperability Layer for Coding Agents over ACP, A2A and UHP
Today we are announcing SuperQode v2, the harness interoperability layer for coding agents. It is Apache-2.0, installs in one line, and leads with full Agent2Agent support, a hosted A2A agent […]
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 […]
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 […]
Running Kimi K3 in SuperQode
Moonshot published the Kimi K3 weights. The model is 2.8 trillion parameters with a 1 million token context window, shipped in MXFP4 at roughly 594GB. Within a day it was […]
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 […]
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, […]
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 […]