docs: state measured test-dir count and depth per codebase#1
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Make the discoverability variable concrete: add measured "test dirs under root" and "max test-file depth" to the README codebases table and a full depth-distribution breakdown in docs/repos.md (pydantic 18 dirs / depth 1; SQLAlchemy 34 / depth 2 with zero files at root). Clarify the gradient loads on different axes (breadth vs depth vs custom framework). dbt-core's 105-dir figure is footnoted as study-era only: main is now a Rust rewrite and config.py clones HEAD without pinning a SHA, so it is not re-measurable. Disclosed as a reproducibility gap. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Add the end-to-end pipeline flowchart (commit -> deleted worktree -> A1/A2 arms -> judge/metrics -> result) to the README, and wire Mermaid.js into the custom Jekyll layout so ```mermaid blocks actually render on the GitHub Pages site (kramdown emits language-mermaid code blocks that Mermaid does not pick up on its own). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Makes the discoverability variable (the study's independent variable) concrete.
Changes
sqlalchemy.testingplugin).Honest caveat
dbt-core's 105-dir figure is footnoted as study-era only:
mainis now a Rust rewrite (no Pythontests/),config.pyclones HEAD without pinning a SHA, anddata/commits/dbt-core/is gitignored — so it isn't re-measurable. Disclosed as a reproducibility gap; SHA-pinning is the fix.pydantic and SQLAlchemy measured at current HEAD via
--depth 1clones.🤖 Generated with Claude Code