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
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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
AI Agent Evaluation: How to Test an Agent Before You Ship It
AI agent evaluation without a vendor selling the answer: which metrics to measure at each layer, how to build an eval suite that runs in CI, and when a platform is worth buying.
Dr. Phil Winder
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18 min
Why AI Agents Fail in Production, and the Observability That Catches It
The five ways AI agents fail in production, and the AI agent observability and monitoring that catches them: tracing, retries, cost ceilings and approval gates.
Dr. Phil Winder
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21 min
Top AI Agent Development Companies in 2026: Who Has Actually Shipped One
AI agent development companies compared for 2026: who publishes a named client, a deployed agent and a measured result, and who does not.
Dr. Phil Winder
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14 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 min
How Winder.AI Helped Duetto Evaluate Reinforcement Learning for Hotel Pricing
Winder.AI partnered with Duetto to evaluate reinforcement learning for hotel pricing, de-risking a complex initiative through rigorous experimentation.
Dr. Phil Winder
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6 min
Transforming Legal Research with AI Legal Text Analysis
A legal AI assistant that was nearly 80% accurate at identifying the appropriate legal text in testing, streamlining workflows for Temple University's CPHLR.
Dr. Phil Winder
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4 min
A Comparison of Open Source LLM Frameworks for Pipelining
Optimize your LLM projects with the best open source LLM frameworks, Python libraries, and orchestration tools.
Natalia Kuzminykh
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27 minNewsletter
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Case studies and industry analysis from our team. No hype, roughly monthly.