Reading Paths

Lightweight sequences through existing graph entities for readers who want a practical way into the playbook.

7 paths
Open discovery
  1. Architecture Decision-Making
    Practical7 steps

    Use tradeoff thinking, quality attributes, decision records, timing, reversibility, and boundaries to structure design reviews.

    • Everything Is a Tradeoff
    • Architecture Characteristics
    • Fitness Functions
  2. Decision-Making Under Uncertainty
    Practical7 steps

    See how human judgment is systematically bounded, then walk the specific biases that distort estimates and choices so they can be recognized in the moment.

    • Judgment Is Bounded
    • System 1 and System 2
    • Anchoring
  3. Designing for Failure
    Deep8 steps

    Treat failure as the normal condition of a complex system and build the reasoning that follows: partial failure, latent flaws, tolerance, graceful degradation, and resilience.

    • Failure Is Normal
    • Partial Failure
    • Latent Failures
  4. Judgment in the AI Era
    Deep10 steps

    The capstone path. When code is cheap to produce, value moves to deciding what is correct and proving it: specify intent, draw the boundaries, then verify, operate, and learn.

    • Verification Over Authorship
    • Ubiquitous Language
    • Bounded Context
  5. Product and Organization Systems
    Practical7 steps

    Connect product direction, metrics, choice environments, Conway effects, and team interfaces as one socio-technical system.

    • Start From the User
    • Working Backwards
    • Input vs Output Metrics
  6. Software Design Foundations
    Introductory9 steps

    Work from the diagnosis that complexity is the core problem down to the concrete techniques that keep code understandable: hiding decisions, deep modules, precise names, and obvious code.

    • Complexity Is the Root Cause
    • Complexity
    • Essential vs Accidental Complexity
  7. Systems Thinking Foundations
    Introductory7 steps

    Build a first path through system structure, feedback, delays, leverage, traps, and complexity before branching into the wider graph.

    • Structure Drives Behavior
    • Stocks and Flows
    • Feedback Loops