Trails / AI-Native Operating Model

AI-Native Operating Model

How the full engineering system enables AI-native work. This trail borrows articles from Engineering and Agentic Engineering & Q — each keeps its primary home; here they read as one story.

6 parts ~103 min total business engineering operations product
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Parts

  1. Part

    AI-Native Engineering: Can You Migrate Incrementally?

    Why bolting agents onto an unchanged SDLC plateaus at 5–20%, and how the 10x teams rebuilt their operating model

    24 min business engineering operations
  2. Part

    The Weekend Knowledge Base

    Building a self-improving knowledge system from zero in under 8 hours of actual effort — and what that says about internal tooling in 2026

    16 min engineering business
  3. Part 1

    The Work That Writes Itself

    Why we built Conduit, and what it gives the team that nothing else did

    14 min engineering business
  4. Part 2

    Beads, the Backbone

    The CLI issue tracker that gives an agent a memory that survives the next compaction

    18 min engineering product
  5. Part 3

    Timbers, the Ledger

    The second ledger every commit needs — one line of what, why, and how, searchable forever

    12 min engineering product
  6. Part 6

    From Plan to Pull Request: A Day on Strike

    One realistic feature, end to end, with every prior cairn put to work

    19 min engineering product