List of Figures and Tables

James C. Davis

List of Figures and Tables

The figures and tables of this book, in order. Each links to where it appears. Every figure, rendered in full with its caption, also lives on the Figures Gallery — a one-page visual review of the whole book.

Figures

Figure 0.1-1 — The whole method on one page
Figure 0.3-1 — The MAGE method in one picture
Figure 0.3-2 — Three process models for agentic software engineering
Figure 0.4-1 — The book in one map
Figure 1.1-1 — The Task-Mode Heuristic
Figure 1.2-1 — DocAble in one picture
Figure 1.3-1 — The Printer Loop
Figure 1.3-2 — The Four Levers
Figure 1.4-1 — The Derivation
Figure 1.5-1 — The Reassigned Seat
Figure 2.1-1 — The MAGE Stack
Figure 2.2-1 — The Model at the Apex
Figure 2.2-2 — The Semantic Gap
Figure 2.3-1 — The Governance-Conversion Loop
Figure 2.3-2 — The controls accumulate across four windows — lint files (0 to 336 to 595 to…
Figure 2.3-3 — Constraint or Sensor
Figure 2.4-1 — The Fenced Judgment Step
Figure 2.5-1 — The Metric Spectrum
Figure 2.5-2 — The Missing-Model-Metric Drain
Figure 2.6-1 — The Conflict Is the Edge
Figure 3.1-1 — One Trunk, Five Views
Figure 3.1-2 — 4+1 is one projection among siblings; a lens is a projection within one
Figure 3.1-3 — A model's value is both its schema and its checked invariants
Figure 3.2-1 — Each edge names the data on the wire — bytes in, a structured model through…
Figure 3.2-2 — The service model feeds generators and parity gates
Figure 3.3-1 — One lock record, many acquisition sites, many ordering constraints — the ER…
Figure 3.4-1 — The component registry feeds the boundary lints, dispatch, and context…
Figure 3.5-1 — The model declares placement — the build host that produces the image, the…
Figure 3.5-2 — Profile Edit, Not Graph Edit
Figure 3.6-1 — The Four-Model Join
Figure 3.8-1 — The Two-Layer Net
Figure 4.1-1 — The wiki is the model you already have
Figure 4.1-2 — Audit, Drain, Promote
Figure 4.2-1 — The Three Skills
Figure 4.2-2 — The Skill Skeleton
Figure 4.3-1 — The three skills share one skeleton
Figure 4.4-1 — The Novelty Axis
Figure 4.6-1 — A Point vs a Space
Figure 4.6-2 — The Coin Is the Model
Figure 5.2-1 — Commits per week across the project's history — the velocity curve
Figure 5.2-2 — The Messy Timeline
Figure 5.2-3 — The Support Ratio
Figure 5.2-4 — Path churn across four windows — additions rise above the baseline,…
Figure 5.3-1 — LLM as a Function Call
Figure 5.3-2 — The Reactive Seam
Figure 5.3-3 — The editor as one MVC loop over the document
Figure 5.3-4 — Two Producers, One Language
Figure 5.4-1 — The MAGE Staircase
Figure 6.0-1 — The MAGE Dynamic Model
Figure 6.0-2 — Bootstrap path
Figure 6.0-3 — Churn/discovery loop
Figure 6.0-4 — Governance-adaptation loop
Figure 6.0-5 — Capability-amplification loop
Figure 6.0-6 — Churn is non-monotonic in governance
Figure 6.1-1 — The Soft–Hard Spectrum
Figure 6.3-1 — James C
Figure A.1-1 — The provenance + fidelity stack in one picture
Figure A.2-1 — The model-coherence stack in one picture
Figure A.3-1 — The specification + verification stack in one picture
Figure A.4-1 — The observe → react loop in one picture
Figure A.5-1 — The resource-mediation stack in one picture
Figure A.6-1 — The governance-of-governance stack in one picture
Figure A.7-1 — The context-management stack in one picture
Figure B.1-1 — Accessible description
Figure B.2-1 — Accessible description
Figure B.8-1 — Accessible description
Figure B.12-1 — Accessible description
Figure B.14-1 — Accessible description
Figure B.16-1 — Accessible description
Figure B.17-1 — Accessible description
Figure B.19-1 — Accessible description
Figure B.22-1 — Accessible description
Figure B.26-1 — Accessible description
Figure B.27-1 — Accessible description
Figure E.1-1 — The Skill Skeleton

Tables

Table 0.4-1 — Where to look — surfaces, jobs, and the questions they answer
Table 1.4-1 — Substrate property → problem/opportunity → MAGE response
Table 2.3-1 — Control growth across the four windows
Table 2.4-1 — Typing a runbook's steps
Table 2.5-1 — Measure one level deeper
Table 2.5-2 — The Missing-Model-Metric drain, run by run
Table 2.5-3 — The governance metrics at a glance
Table 3.1-1 — Token savings from working through a model
Table 3.2-1 — Invariants of the Logical view
Table 3.3-1 — Invariants of the Process view
Table 3.4-1 — Invariants of the Development view
Table 3.5-1 — Invariants of the Physical view: deployment placement
Table 3.5-2 — Invariants of the Physical view: host-stress edges
Table 3.6-1 — Invariants of the Scenarios view
Table 3.8-1 — Model-sync evidence — the derived floor under load
Table 3.8-2 — Documentation-hygiene aside — not model sync
Table 4.1-1 — Sizing the mechanism
Table 4.2-1 — The self-operate skill, by layer
Table 4.2-2 — The self-governance skill, by layer
Table 4.2-3 — The self-communicate skill, by layer
Table 4.5-1 — Lessons learned, quotable
Table 5.1-1 — The burden shift
Table 5.2-1 — The support ratio across four windows
Table 5.2-2 — Per-path churn across the four windows
Table 6.0-1 — The four dimensions of E
Table 6.0-2 — Constructs and moderators
Table 6.0-3 — The three MAGE outcomes and their observables
Table 6.0-4 — MAGE's seven falsifiable hypotheses H1–H7
Table 6.0-5 — Former predictions mapped to their subordinate status
Table 6.0-6 — Three study designs mapped to H1–H7
Table 6.1-1 — The Null Result
Table 6.1-2 — The Three Evidence Forms
Table 6.4-1 — The manuscript's governing models and the failures they prevent
Table 6.4-2 — The governed manuscript as declared source, generated form, and drift check
Table D.1-1 — The Operator's Dashboard — formative and summative metrics
Table D.2-1 — The minimum package
Table D.2-2 — Audit, synchronize, govern, extend
Table E.1-1 — The mastery-skill recipe, step by step