This is good knowing how others have built their system. I agree sometimes you need smaller models to focus on specific tasks, like I have an JSON extraction agent that is built using GPT4.1 mini/nano that does the heavy lifting while O4-Mini or GPT 4.1 helps me in planning phase. Would love to get your feedback on my implementation - https://github.com/tysonthomas9/browser-operator-devtools-frontend
Thank you for the kind words! I'm glad you found the article valuable.
While I didn't cover Claude Code specifically in this post, I expect it likely shares some architectural similarities with the systems I analyzed. Based on what's publicly known:
Claude Code probably uses:
Similar context retrieval techniques - likely with strong semantic search and re-ranking capabilities (perhaps leveraging Claude's excellent reading comprehension)
A ReAct-style agent loop similar to what I described - Claude is known for its reasoning abilities, which would make it well-suited for planning, executing, and observing results
It likely has specialized tools for code manipulation, but might rely more heavily on Claude's core model rather than the multiple specialized models approach that Cursor uses
One interesting difference might be in how it handles the terminal environment versus a full IDE integration.
I’ve been using Claude Codd consistently for few weeks now and have to say it’s brilliantly designed! It does sound like few models in the backend especially thinking and normal.
This is good knowing how others have built their system. I agree sometimes you need smaller models to focus on specific tasks, like I have an JSON extraction agent that is built using GPT4.1 mini/nano that does the heavy lifting while O4-Mini or GPT 4.1 helps me in planning phase. Would love to get your feedback on my implementation - https://github.com/tysonthomas9/browser-operator-devtools-frontend
Insightful
Happy to hear that!
I literally had no idea.
Happy I could help :)
This is an absolutely amazing article uncovering code assistance. Any idea how Claude Code architected?
Thank you for the kind words! I'm glad you found the article valuable.
While I didn't cover Claude Code specifically in this post, I expect it likely shares some architectural similarities with the systems I analyzed. Based on what's publicly known:
Claude Code probably uses:
Similar context retrieval techniques - likely with strong semantic search and re-ranking capabilities (perhaps leveraging Claude's excellent reading comprehension)
A ReAct-style agent loop similar to what I described - Claude is known for its reasoning abilities, which would make it well-suited for planning, executing, and observing results
It likely has specialized tools for code manipulation, but might rely more heavily on Claude's core model rather than the multiple specialized models approach that Cursor uses
One interesting difference might be in how it handles the terminal environment versus a full IDE integration.
I’ve been using Claude Codd consistently for few weeks now and have to say it’s brilliantly designed! It does sound like few models in the backend especially thinking and normal.
what about augment?