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 […]
Category: AI
Agent Engineering HQ Launched AgentEng: CLI, MCP, A2A and ACP Support for Agentic AI Events
We launched the Agent Engineering Conference to bring together the people building the systems around AI agents. Its Founders Edition takes place at Everyman, Canary Wharf, London, on 16 October […]
RLM + A2A in SuperQode: Building a More Durable Recursive Coding Harness
We recently released SuperQode with a native Recursive Language Model harness. Getting that harness working was an important step. Making it useful for longer coding tasks required more work: reliable […]
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 […]
Headlong microharness in SuperQode Ecosystem Watch
Laude Institute recently released Headlong: Apache-2.0, under 10K lines of Bash, with shellm as a recursive language model core. A Headlong agent keeps thinking between messages. A Slack or Telegram […]
Prime Agent Python Host Client: A Native RPC Host
In the latest post, Prime Agent in SuperQode, we described the first integration over Agent Client Protocol (ACP), compared Prime Agent with RLM Code, and documented the part that Python […]
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 […]
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 […]
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 […]
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, […]