Self Improving Harness – Self-Improving Coding and Research Agent – NextBigFuture.com

Building a Production AI Agent in Spring Boot: Testing the Agent Loop Without an LLM (Part 6)

Someone built a browser game where you play the human-in-the-loop for an AI coding agent. Commands... Tagged with java, springboot, ai, testing.

The Agent Harness Is Becoming Part of Model Training

When an agent fails, the model is not always the culprit. A tool may return an unexpected payload, useful state may be stored in the wrong place, or the system may ask the model to operate under conditions it never encountered during training. These failures begin outside the weights, inside the agent harness. Macaron‑V1 makes

Prime Intellect Releases Prime Agent: An Open-Source RLM Harness Where Sub-Agents Are Function Calls Inside Persistent IPython Kernel

Prime Intellect has open-sourced Prime Agent, a self-improving coding harness designed around two abstractions, the Recursive Language Model (RLM) and Continual Harness. Fixed tool schemas and context compaction force a model to work around its own scaffolding. Prime Agent replaces both with a persistent Python REPL and a rewritable harness. With Opus 5, it reports 95.5% on ARC-AGI-3, above the reported human expert baseline of 95.4%. It is MIT-…

Self Improving Harness – Self-improving coding and research agent – NextBigFuture.com

Prime Agent is an open-source self-improving coding and research agent (harness) released by Prime Intellect on August 5, 2026. It is built for coding workflows and long-running autonomous tasks. It combines a Recursive Language Model (RLM) runtime with a Continual Harness, emphasizing token efficiency and expressiveness through programmatic tool calling, treating context as a variable, ...