A developer proposes a middle path between stock coding agents and custom harnesses, introducing pi, an open-source terminal coding agent that ships a general terminal-agent harness with replaceable c…
A developer wrote 'Harness Engineering: Building Reliable Systems Around Non-Deterministic Agents' to address the inconsistency of coding agents across different repositories. The book teaches techniq…
A developer building open-refinery, a control plane for AI-driven work, discovered that audit trails alone cannot prevent unwanted actions—governance must gate actions before they occur. The tool enfo…
A developer introduces the concepts of 'charter' and 'harness' to clarify how agentic coding systems are governed. The charter is defined as all authored material specifying agent behavior, including …
A developer released a book titled 'Harness Engineering' on LeanPub, offering a pay-what-you-want model starting at $10. The book covers a discipline for building reliable workflows around non-determi…
A developer explores the concept of loop engineering as software engineering, inspired by an article on LinkedIn. They built a Python prototype using Claude and highlight the importance of distributed…
A developer with over a decade of web development experience describes their journey using AI tools like Claude Code, emphasizing the importance of harness engineering and critical oversight. They cau…
An engineer investigating a broken migration caused by an AI coding agent found that the agent followed a stale rule in its harness rather than the live schema file. The incident highlights five commo…
An engineer at a development team found that AI coding agents often fail not because of the model itself but due to a missing 'harness'—the files, rules, tools, and feedback loops surrounding the mode…
A developer found that giving an AI coding agent a tool to check code health before commits achieved 100% compliance, compared to only 70-85% with a written rule. The tool, an MCP server entry point c…
A developer recounts their enduring preference for the terminal over graphical interfaces, tracing it back to their first Linux experience with RedHat 6.2. They argue that Unix pipes and command-line …
An engineer argues that agent harnesses for AI coding agents need more than just rules; they require 'sensors'—automated checks that enforce rules. The engineer describes a four-line shell script that…
A developer discovered that the CLAUDE.md file, originally written for AI agents, serves as a superior onboarding document for new engineers. The file captures the team's learned conventions, mistakes…
Keystone 2.0, an agent harness framework, introduces a new vocabulary with eleven primitive kinds in two layers and a dashboard for observability. The update includes a built-in MCP server, evals with…