Field Notes

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

2297 notes482 topicsWeek in reviewJSON index
1-12 of 157 matching notes
  1. coinbase.com

    Coinbase Rebuilds Interviews for Engineers with AI

    Coinbase describes interviews that test not the ability to code without help, but the ability to direct AI, review output, and make engineering decisions in a new work loop.

    • engineering-hiring
    • ai-adoption
    • developer-productivity
  2. 2 sources

    Kimi K3: Frontend Is Becoming the Model Race Arena

    Kimi K3 moves open model competition into visual software engineering: frontend benchmarks require not only code, but layout, screenshots, accessibility, and human preference.

    • open-models
    • frontend
    • coding-agents
  3. linear.app

    Linear Loops Turns Recurring Work into Agent Workflows

    Linear Loops shows how product systems are starting to embed agents not as chat, but as repeatable workflows with schedules, events, run memory, and context access.

    • linear
    • agent-workflows
    • product-ops
  4. 4 sources

    Long-Running Loops Need Goals, Not Keep-Going Prompts

    Long-running agent work is useful only with a testable goal, checkpoints, a terminal condition, and recovery policy; otherwise the loop becomes expensive blind continuation.

    • claude-code
    • long-running-agents
    • agent-ops
  5. 2 sources

    Model Match: Choose the Model and Effort Together

    Model selection is becoming an engineering control: quality and cost depend not only on the model name, but on effort, task class, and a testable success criterion.

    • model-selection
    • llm-ops
    • cost-control
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