AI Agent architecture: model, harness, intent
📰 Medium · LLM
Learn how AI agent architecture differs in model, harness, and intent control for coding agents versus general-purpose agents
Action Steps
- Identify the type of agent you are building: coding or general-purpose
- Determine the appropriate harness for your agent
- Design intent control mechanisms to prevent drift
- Compare the architecture of coding agents and general-purpose agents
- Apply the differences in harness and intent control to your agent design
Who Needs to Know This
AI engineers and researchers can benefit from understanding the differences in agent architecture to improve their models' performance and control
Key Insight
💡 The harness and intent control mechanisms differ between coding agents and general-purpose agents, despite using the same frontier models
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🤖 AI agents: coding vs general-purpose. Same models, different harness & intent control
Key Takeaways
Learn how AI agent architecture differs in model, harness, and intent control for coding agents versus general-purpose agents
Full Article
Coding agents ship production work. General-purpose agents still drift. Same frontier models. Different harness, different intent control. Continue reading on Medium »
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