how is @claudeai's claude code so damn good and how can you recreate its magic in your own llm agent/workflow?
intercepted all cc calls over the last few months and wrote up a 2k word guide on this! (all prompts, tools linked in comments)
main takeaways (0/3):
0. debuggability >>> everything else. most of the magic is in designing good (low and high level) tools and prompts to let the model shine. keep it simple
main takeaways (1/3):
1. keep one loop (no frameworks or multi-agent handoffs needed for 99% of the use cases, really). Claude Code has 1 main loop with a max of 1 branch (of the same agent)
main takeaways (2/3):
2. llm search >>> RAG.
let the model search and think. loosely wiring up two intelligent systems (without feedback) is downright inelegant.
design good low level (Bash, Edit, ToDo) and high level tools (Grep, even through the model could have used Bash)
main takeaways (3/3):
3. steering proactiveness can have massive payoffs. also unfortunately "PLEASE THIS IS IMPORTANT" is still sota for steering
read more takeaways, all prompts, tools and much more in the post: https://minusx.ai/blog/decoding-claude-code/
lmk what you think!
