Ten calls per cycle: the loop that moved to the control plane
Meta’s CORAL puts an LLM agent in a closed loop around a production recommender. The interesting part isn’t the numbers: it’s where they chose to plug the model in.
Meta’s CORAL puts an LLM agent in a closed loop around a production recommender. The interesting part isn’t the numbers: it’s where they chose to plug the model in.
Claude Code writes the orchestration script, launches a fleet of subagents, and the coordination doesn’t cost a single token. Third installment: from the loop to a graph that runs itself.
There are around twenty specifications for giving an AI agent an identity and almost none are finished. But the serious problem is elsewhere: SCIM and SPIFFE operate on incompatible timescales, and nobody covers the point where they meet.
Google published a 51-page whitepaper on the new software lifecycle with vibe coding. The conceptual framework — the spectrum, Agent = Model + Harness, the factory model — is excellent. The statistical apparatus collapses at the first question. A layer-by-layer review, with all nine headline figures traced to their primary sources.
Graphify turns a repository into a deterministic knowledge graph with no embeddings and no LLM cost. Its benchmark is one of the best in the sector — and it contains the row that dismantles its own headline: four thousandths over a classic hybrid RRF. A technical read of the pipeline, the numbers and the defaults.
Agent governance is usually discussed as doctrine. We took it to a test bench: a ~200-line gatekeeper, warm-forked microVMs, and four models unknowingly trying to break the rules. The numbers, the prompt-injection matrix, and the two leaks that taught us the most.
Agent runtimes converged on the same architecture and nearly the same price. The interesting question is no longer which one to buy: it is what the one you already have actually enforces, and where the part you have to build yourself begins.
Ng’s four patterns are still the right vocabulary, but the real axis in agent architecture isn’t how many agents you have — it’s where the state lives. An honest walk from loops to graphs, and what has changed since 2024.
Loop engineering without the smoke: the anatomy of an autonomous loop, how I run mine with a GitHub board and subagents, and the Claude Code parts that make it possible.
forkd applies the old fork() call to whole virtual machines: a hundred isolated sandboxes in 101 ms by cloning a warm parent. The idea, explained calmly — with biology.