nope, tools/harnessing is what is accounting for most of the recent progress. not scale. no way could you get a pure LLM to do what Claude Code does. that’s why they used the other stuff, too see eg https://
open.substack.com/pub/garymarcus
/p/how-o3-and-grok-4-accidentally-vindicated?r=8tdk6&utm_medium=ios
…
AGENTS
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Tools and Harnessing Drive Recent AI Progress Over Scale
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Agent Loop Implementation Code Organization Best Practices
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and yeah putting an agent loop in a file called print.ts is, um, ugly.
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API Provider Features and Prompt Caching in Deep Agents
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this is a good point around taking advantage of model/api provider features i agree that prompt caching is great! we make sure to use it in deepagents! but that alone doesnt lock in – you can switch pretty easily, just a bit more costly things like encrypted or serverside
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Understanding Agent Harnesses in LangChain Development
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@sarahwooders helped educate me on some of the lock in as well https://
blog.langchain.com/the-anatomy-of
-an-agent-harness/
… is a great blog by @Vtrivedy10 on agent harnesses i think the deep agent docs are pretty good as well -
Composer 2 Usage Doubled in New Interface Update
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This weekend we're doubling Composer 2 usage in our new interface.
— Cursor (@cursor_ai) 11 avril 2026
Open Agents Window, pick Composer 2, and start building! No hourly limits.https://t.co/Z5GHz7kcG1This weekend we're doubling Composer 2 usage in our new interface. Open Agents Window, pick Composer 2, and start building! No hourly limits.
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Prompt Caching vs Vendor Lock-in in AI Agents
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i agree that prompt caching is great! we make sure to use it in deepagents! but that alone doesnt lock in – you can switch pretty easily, just a bit more costly things like encrypted or serverside compaction make it harder to do so. blackbox long term memory makes it impossible
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Open Standards for Managed AI Agents Architecture
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i agree there should be managed agents, i just think they should be built on open harnesses and open memory standards
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Open Standards for Managed AI Agents Architecture
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i agree there should be managed agents, i just think they should be built on open harnesses and open memory standards check out deep agents deploy:
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Thoth: Advanced Agent Harness with State-of-the-Art Memory
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check out thoth – agent harness with sota memory built on langgraph
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Agent Run Loop Source Code Available in Substack
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if you have full source i would like to see it; this claims it contains the agent run loop etc; source in my substack