Two Anthropic seniors just made Karpathy's loop 1000x better with "Graph Engineering" - dropped 11-page PDF
the shift: the agentic systems got 1000x better the moment you wired agents into a graph
here's the playbook in 6 steps:
step 1 → build one loop: generate, critique, revise - one self-review cycle beats a smarter model with none
step 2 → add tools: search, code execution, database - thinking without tools is hallucinating
step 3 → go parallel: spin up agents in separate worktrees - same repo, different branches, no conflicts
step 4 → add a graph: agents write findings as typed nodes and edges - not transcripts - every claim keeps its source
step 5 → ground your evaluator: it checks claims against graph edges, not vibes - "Triple not found" beats "seems off"
step 6 → the graph survives every session - your agents stop rebuilding context from scratch
the result: Karpathy ran 1 agent in 1 direction - this system runs 1,000 with shared memory - same model, it's the architecture
read this 11-page PDF and paste it into your Claude - you won't regret it
bookmark - then read the article on building graphs from scratch ↓