Field Notes

Editorial notes on AI-engineering releases and research, each tied to its primary sources.

2694 notes482 topicsWeek in reviewJSON index
1-12 of 157 matching notes
  1. cloud.google.com

    Agent Teams Collaborate Through Files, Gates, and Roles

    Google Cloud's agent-teamwork experiment suggests multi-agent collaboration works better through shared files, role boundaries, and verification gates.

    • multi-agent
    • agent-orchestration
    • google-cloud
  2. aws.amazon.com

    Amazon Quick Makes Catalog Semantics The Agent Boundary

    Amazon Quick's Agentic Catalog Experience turns upstream definitions and relationships into inherited, reviewable context for grounded Q&A and deterministic dashboards.

    • agents
    • data-engineering
    • developer-tools
  3. blog.bytebytego.com

    ChatGPT Cuts Repeated Work Across The Agent Stack

    ByteByteGo's OpenAI engineering walkthrough connects persistent sessions, stable prompt prefixes, deferred tools, delta tokenization, cache-aware routing, and split inference.

    • agent-harnesses
    • inference
    • performance
  4. anthropic.com

    Containment Caps An Agent's Blast Radius

    Anthropic's three runtime patterns show why hard filesystem, network, credential, and trust boundaries carry more security weight than repeated approval prompts.

    • agent-security
    • agent-harnesses
    • runtime-isolation
  5. philschmid.de

    EvoCode-Bench Exposes Multi-Turn Regression Risk

    EvoCode-Bench tests coding agents across persistent workspaces and evolving requirements, where regressions become the dominant failure mode.

    • coding-agents
    • evals
    • benchmarks
  6. browserbase.com

    Gusto Solves The Agent Blank Canvas With Scheduled Work

    Gusto Cofounder starts from recurring payroll and HR workflows, giving the agent an assigned job, schedule, context, and decision boundary before the user has to invent a prompt.

    • agents
    • interfaces
    • automation
  7. blog.mozilla.ai

    LLM Costs Need Prevention, Detection, And Mitigation

    Mozilla.ai's cost essay frames volatile model spend as an operational risk created by conversation length, retries, agent loops, and fragmented provider accounting.

    • agent-economics
    • operations
    • ai-gateway
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