Writing

Multi-agent systems

16 articles
16 articles across all sections

Ideas to revisit

Multi-agent systems

8 articles
  1. Agent markets: 85% of the loss comes before negotiation

    Anthropic's book market experiment locates most efficiency loss in preference representation. A look at model choice, preference evals, and market rules.

    Technical articles Multi-agent systems Evaluation AI research
    English
  2. Claude takes a candidate to the lab, not a new CRISPR

    About 950 Claude agents helped identify ART. Human wet-lab experiments confirmed short RNA expression, but its main biological function remains unknown.

    Technical articles Agents Multi-agent systems AI research
    English
  3. When to split a task across agents: check dependencies

    How task dependencies shape multi-agent results, with SAIGE experiments, ablations, and OpenAI guidance for deciding when to delegate.

    Learning guides Multi-agent systems Agent engineering Evaluation AI research
    English
  4. AWS agents propose; deterministic code validates

    How AWS separates agent proposals, rule checks, human approval, and execution, with code enforcing boundaries and idempotency.

    Technical articles Agent engineering Multi-agent systems Evaluation
    English
  5. OpenCompany: version-controlled agent configuration

    OpenCompany uses company.toml, agent teams, and human sign-off to put organizational structure and agent configuration into version-controlled files.

    Projects & practice Multi-agent systems Agent engineering Security & privacy
    English
  6. jcode moves coding-agent bottlenecks into the harness

    How jcode handles multi-agent resources, state synchronization, and verification in its harness, beyond the capabilities of the model alone.

    Projects & practice Agent engineering Multi-agent systems Developer tools
    English
  7. AI Engineering Harness: verifiable delivery for AI code

    A multi-agent engineering workflow uses isolated worktrees, CI, cold-start review, evidence gates, and layered context to control delivery of AI-generated code.

    Projects & practice Agent engineering Multi-agent systems Developer tools Evaluation
    English
  8. Building WishLive: A Multi-Agent Runtime

    A 48-hour hackathon build of an event-driven multi-agent runtime with registry, workflow, execution, negotiation, settlement, and observability layers.

    Projects & practice Multi-agent systems Agent engineering Runtime & infrastructure
    English

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