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
/
16 minArticles in this topic
Page 1 of 2
Dr. Phil Winder
/
16 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
/
10 min
RAG vs Fine-Tuning in 2026: A Decision Framework for LLM Teams
An opinionated 2026 decision framework for choosing between retrieval-augmented generation (RAG), fine-tuning, and hybrid approaches for LLM applications. Decision tree, comparison table, and named tooling.
Dr. Phil Winder
/
9 min
Early Adopter Release of Kodit: MCP server to index external repositories
Kodit lets AI coding assistants see your private or newest repos—no retraining required.
Dr. Phil Winder
/
5 min
Scaling GenAI to Production: Strategies for Enterprise-Grade AI Deployment
Transition your GenAI prototypes to enterprise-grade production with scalable strategies, robust monitoring, cost management, and secure governance best practices.
Natalia Kuzminykh
/
8 min
Best LLMOps Tools: Comparison of Open-Source LLM Production Frameworks
Explore LLM agent and orchestration frameworks, LLMOps tools, and platforms for deploying language models effectively.
Natalia Kuzminykh
/
17 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
/
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
/
27 min
Testing and Evaluating Large Language Models in AI Applications
A guide to evaluating and testing large language models. Learn how to test your system prompts and evaluate your AI's performance.
Dr. Phil Winder
/
17 min
Retrieval-Augmented Generation (RAG) Examples and Use Cases
Watch our webinar to explore Retrieval Augmented Generation (RAG) use cases and advanced LLM techniques to enhance AI applications in 2024.
Dr. Phil Winder
/
5 minNewsletter
AI engineering insights, in your inbox
Case studies and industry analysis from our team. No hype, roughly monthly.