I don't understand why everyone isn't doing this yet
Anthropic documented a Claude Code feature where the STRONGEST model only kicks in at key moments instead of running the whole time
The setup: Agent Teams in Claude Code
Rather than one session doing everything, the work splits across a team:
Lead (Opus 5.5, high effort): the main session, creates the tasks and runs the team
Teammates (Sonnet 5.5, medium effort): each owns its own files, UX or backend
Advisor (Fable 5.1): consulted before picking an approach, on a repeated error, before done
Shared task list: teammates claim tasks, file locks stop two of them grabbing the same one
Start the lead from the terminal:
claude --advisor fable
Then tell it: Spawn three teammates, one on UX, one on the backend, one playing devil's advocate. Use Sonnet for each teammate
Paste this to set up your workspace:
In settings.json, add CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 to the env block, set effortLevel to high
Define roles in .claude/agents/ with model sonnet and effort medium, plus a devil's advocate role
Give each teammate its own set of files to avoid overwrites
Add a TaskCompleted hook that blocks a task from being marked done if checks fail
Show me every config change before applying it
The CLAUDE.md map your agents read, full guide in the article below
> https://t.co/bpuZk2o0YH
this is absolutely f*cking unreal
10 GitHub repos with 360K+ combined stars to build your own REA auto-fix swarm that runs 24/7
it takes apart any program, finds what's broken, argues about the fix and ships the patch while you sleep
one resource per step, from the first look at the code to the final patch
(1/10) REA
the core: reverse engineer anything with agents through MCP
▸https://t.co/iep9wJyZWB
(2/10) Claude Code
the official agent from Anthropic that lives in your terminal and does the actual work
▸https://t.co/APgohqAH3x
(3/10) Anthropic Cookbook
official recipes for agents, tools and workflows, so you don't build everything from zero
▸https://t.co/OckPVEJJFC
(4/10) reagent
a multi-agent system that digs into binaries and figures out what they do
▸https://t.co/X3sScH1UUs
(5/10) kong
an agentic reverse engineer built on Ghidra that reads functions for you
▸https://t.co/g1aiRWFpFx
(6/10) re-agent
a reverse-engineering platform where agents debate each other and critique their own answers
▸https://t.co/hJ9Q9AnHa6
(7/10) CrewAI
gives every agent a role (one recons, one fixes, one reviews) and runs them as a crew
▸https://t.co/JSPwzYnZWz
(8/10) LangGraph
connects the agents into a graph with checkpoints, so if something fails it picks up where it stopped
▸https://t.co/usi4hHQmIZ
(9/10) leanrea
a lightweight alternative to REA when you want speed without the MCP setup
▸https://t.co/6XRNvswysT
(10/10) agents
ready-made agents plus orchestration for Claude Code: recon, patch, tests, review, deploy
▸https://t.co/wkXN9BiVxi
the loop:
recon → load → run → debate → ship
set it up once, and every bug in any program becomes a patch you just review ↓