Harness Engineering: What We Learnt Building AI Agents
Harness engineering is choosing how much of an AI agent's loop to make deterministic. What we learnt doing it on three of our own agents, and where to start.
Dr. Phil Winder
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13 minArticles in this topic
Dr. Phil Winder
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13 min
DeepSeek Harness vs OpenCode: Which One We Run in 2026
DeepSeek Harness vs OpenCode 2.0, compared from running both in our own fleet: architecture, model support, cost, containment and which one suits a team.
Dr. Phil Winder
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13 min
A Comparison of AI Agent Harnesses in 2026
A comparison of AI agent harnesses in 2026: Claude Code, Codex, OpenCode, Qwen Code, DeepSeek Harness, Goose and Zed Agent, plus when you need a framework.
Dr. Phil Winder
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17 min
How to Build an AI Agent in 2026: Frameworks and Working Code
How to build an AI agent in 2026: Pydantic AI vs LangGraph vs build-your-own compared, two worked examples with real code, and the evaluation and memory patterns that survive production.
Dr. Phil Winder
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11 minNewsletter
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Case studies and industry analysis from our team. No hype, roughly monthly.