From Context Engineering to AI Agent Harnesses: The New Software Discipline
Harness Engineering: Sometimes Language Models Aren't Unintelligent, They Just Lack Proper Human ...
Building a Harness with Jev
Day 2: Harness Engineering - The 6 Components
Harness Engineering Explained | Turn your LLM in to AI Agent.
Harness Engineering Explained in 20 Mins!
Harness Engineering Explained: Inside the Stack Behind Antigravity, Claude Code & Cursor
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Last Updated: September 28, 2026
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Summary
Try Cursor: cursor.com/. me: X: x.com/calebfoundry LinkedIn: linkedin.com/in/calebeom/ TikTok: ... Ignacio Martinez registered the domain for this workshop on the Saturday before he gave it, and then asked the room not to ... How do you make an AI agent more reliable without changing the model or continuously modifying the prompt? In this practical ... Mike Chambers puts a dictionary entry on screen: a Most developers have heard of prompt AI Fundamentals by - youtube.com/watch?v=fMHGSx8B9gs&list=PLUqOqHuQynYk In this video, ... Lance Martin of LangChain joins High Signal to outline a new playbook for Subtitles: Li Yijun, Teaching Assistant About How to Train a Language Model [Introduction to Generative Artificial ... Learn all about Jev, a new System One model from TypeSafe AI, and how you can use it in your agent AI Agents are becoming more capable every day — but building a powerful AI agent is not just about writing a good prompt. The most important thing in AI right now has nothing to do with picking the right models. The model is becoming a commodity. Try Google Antigravity → g.dev/cloud/antigravity-homepage Explore Google Skills on GitHub → goo.gle/3UN4MWQ ...