Field Notes

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

993 notes471 topicsJSON index
1-12 of 157 matching notes
  1. 11 sources

    What Else Is Being Produced Around AI

    A reserve digest groups weak, early, or repeated signals around agent infrastructure, interfaces, video, and developer workflows without forcing every signal into a separate thesis.

  2. x.com

    Working backwards before coding

    Good pre-coding eval asks whether the finished function matches a customer contract written before implementation: future announcement first, implementation plan second.

  3. freestyle.sh

    Agent APIs Need Fewer Magic Tricks and More Facts

    Agent-first APIs should return explicit fields, precise errors, raw facts, and traceable metadata so models can repair tool calls deterministically instead of guessing world state.

    • api-design
    • agents
    • tool-use
  4. launchdarkly.com

    Agent Steps as Graphs: Workflows Become Observable

    Agent graphs turn loosely narrated steps into a controllable structure: transitions, conditions, tool calls, state, and clear places for human intervention.

    • agent-graphs
    • workflow-observability
    • agent-control
  5. arxiv.org

    Agentic Self-Improvement Is Becoming Its Own Field

    A survey of self-improvement in modern agentic systems maps how agents improve prompts, memory, tools, plans, and workflows, while showing why guardrails matter.

    • agentic-systems
    • self-improvement
    • research
  6. 2 sources

    AI Coding Workflow: From Idea to Verifiable Work

    AI coding works better when checkable artifacts stand between the idea and the code: specs, tickets, TDD, fresh-context review, and manual QA.

    • coding-agents
    • workflow
    • verification
  7. howdy.com

    AI-Native Engineering Teams Are Smaller and Stricter

    AI-native engineering changes team size, roles, onboarding, metrics, and review: code is no longer written only by humans, but context and quality ownership get stricter.

    • ai-native-teams
    • engineering-management
    • context-engineering
  8. reuters.com

    Anthropic Cuts Limits and Rents Compute from Meta

    Compute is becoming part of the AI product contract: Claude limits, plans, and availability depend not only on prompts but on where the lab can find capacity.

    • compute
    • ai-infrastructure
    • anthropic
  9. medium.com

    Capital One's VulnHunter Points AI at Real Attack Paths

    Capital One's VulnHunter shows a useful shift in AI security tooling: an agent should connect a fix to a reproducible attack path, not only generate a diff.

    • security
    • code-agents
    • vulnerability-management
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