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. github.com

    PR-AF turns code review into a planned multi-agent pass

    PR-AF builds a per-PR review plan, spawns focused reviewer agents, grounds findings in code evidence and challenges them — reporting 0.706 golden recall as the top open-source reviewer.

    • coding-agents
    • evals
    • security
  2. blog.google

    Gemini Reaches One Billion Monthly Active Users

    Google says the Gemini app passed a billion monthly users, and the usage breakdown is more interesting than the milestone: 63% talk to it and it generates 150 million images a day.

    • gemini
    • platforms
    • trends
  3. epoch.ai

    A Rosetta Stone for AI benchmarks

    Epoch AI stitches saturating benchmarks into one scale with a statistical framework, because any single benchmark only separates models that are neither too bad nor too good.

    • agents
    • ai
    • evaluation
  4. liquid.ai

    Liquid AI agent loops

    Liquid AI gave two coding agents a real deadline and a genuine gap in the tokenizer tooling landscape, then wrote up what the loop and its verification infrastructure had to look like.

    • agent-retrieval
    • agents
    • ai
  5. patronus.ai

    FigmaTrace dataset for Figma design workflows

    Patronus published FigmaTrace, 3,469 Figma design trajectories covering 200+ hours of human work, on the argument that vision models fail at design for lack of workflow data.

    • agent-retrieval
    • agents
    • ai
  6. github.com

    Anti-slop repo for agent-output quality control

    anti-slop ships opinionated Oxlint rules that reject low-evidence TypeScript patterns, and insists on being vendored into your repo rather than pinned as a dependency.

    • agent-retrieval
    • agents
    • ai
  7. cursor.com

    Cursor explains Git at any scale

    Cursor argues Git's distributed design, built for the Linux kernel's decentralised maintainers, is now a hindrance for the centralised workflows almost every company actually runs.

    • agents
    • ai
    • ai-software
  8. mem0.ai

    mem0 agent memory layer

    Mem0 sells persistent agent memory as drop-in infrastructure with an add/learn/retrieve loop and a compression engine, and now claims a way to keep memory accurate as it grows.

    • agent-memory
    • agents
    • ai
  9. docs.stripe.com

    Analyze Stripe data with AI

    Stripe's MCP server exposes aggregated analytics rather than individual objects, letting an agent ask for MRR, run billing templates or issue SQL against reporting tables.

    • agent-integrations
    • agents
    • ai
Machine routesPublic and cache-friendly
GET /posts.jsonGET /source-ledger.json GET /rss.xml
Who read this page?Machine requests, hidden until opened

Loading the privacy-safe route aggregate…

Open the JSON contract