Agent harnesses are making AI agents reliable - finally.
They build on everything we’ve learned from prompt engineering and context engineering, but take it further: managing memory, controlling tools, coordinating subagents, and keeping long-running tasks on track.
With this reliability for long running tasks, is vibe coding going to make a comeback? Well, sort of. I'll break that down in this video as well as what agent harnesses are, how they work, and why they’re quickly becoming the backbone for serious, production-grade AI systems.
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If you want to build AI agents that are enterprise grade from day one, check out OutSystems Agent Workbench:
https://fandf.co/4a08MJ3
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In partnership with AWS and Kiro, I'm hosting an AI Coding Hackathon in January with a $17,000 prize pool! See details and register for free here:
https://dynamous.ai/kiro-hackathon
The Dynamous Agentic Coding Course is now FULLY released - learn how to build reliable and repeatable systems for AI coding:
https://dynamous.ai/agentic-coding-co...
Linear Agent Harness:
https://github.com/coleam00/Linear-Co...
Anthropic Harness:
https://www.anthropic.com/engineering...
Langchain DeepAgent:
https://docs.langchain.com/oss/python...
Manus article:
https://manus.im/blog/Context-Enginee...
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00:00 - Introducing Agent Harnesses - Bringing Back Vibe Coding?
01:21 - The Evolution of AI Agents (From Prompt & Context Engineering)
04:09 - Why Agent Harnesses Matter NOW (They aren't New)
06:16 - Diving into the Agent Harness Architecture
09:11 - The Components of an Agent Harness
10:49 - Outsystems Agent Workbench
12:41 - Example Flow for an Agent Harness
15:12 - Anthropic's Agent Harness for Long Running Tasks
19:28 - The Two Big Unsolved Problems for Agent Harnesses
24:50 - Final Thoughts
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Join me as I push the limits of what is possible with AI. I'll be uploading videos weekly - at least every Wednesday at 7:00 PM CDT!