Topic: How the code-expert workflow generates testertest*.py files from specs, and whether they're regenerated when specs change

Date: 2026-05-29

Time: 10:20

How testertest*.py Files Relate to the Code-Expert Workflow

Short answer: the observations show no generation mechanism

The search for any code that generates testertest*.py files came up empty across every angle:

| What was searched | Result |

|---|---|

| Grep for tester_test in generation code | 0 matches |

| Grep for generated\|auto-generated\|DO NOT EDIT in tester files | 0 matches |

| .code-expert/ directory contents | Only topics.json — no templates, specs, or generator config |

| CLAUDE.md workflow steps | Scan → explore → explain → propose beliefs → review → derive. No test generation step. |

What the files actually look like

The testertest*.py files are parallel, simplified versions of the hand-written test_*.py files. Comparing the bloom filter pair:

• bloom-filter/testbloomfilter.py — 207 lines, 16+ tests, includes edge cases like testduplicateadd, testunionincompatible, testcountingdoubleaddremove
• bloom-filter/testertestbloom_filter.py — 125 lines, 11 tests, covers the same core scenarios but omits edge cases and uses more compact style

The tester version reads like a distilled spec: numbered comments (# 1. No false negatives, # 2. FPR within 2x of target) map to the key behavioral properties, and the tests are stripped to minimum assertions. But there are no markers, no generation comments, and no tooling to produce or regenerate them.

What's missing from the observations

To definitively answer whether these files are generated and whether they track spec changes, you'd need to find:

1. The generator itself — search the code-expert skill's source code (likely in a plugin or CLI tool outside this repo) for tester_test or test-generation logic

2. Spec files — the "specs" these are supposedly generated from; none were found in ddia-implementations or .code-expert/

3. Git history — git log --diff-filter=A -- '*/testertest*.py' would reveal whether these files were added by a human commit or a tool-automated one

4. The code-expert skill implementation — the CLAUDE.md references commands like code-expert explain file and code-expert explore, but the skill's source code wasn't searched

Most likely explanation

The testertest*.py files were generated once by an LLM-driven process (likely during a code-expert explain or exploration session) as a way to codify understood behavior, then committed as static files. They are not automatically regenerated when the implementation changes — there is no watcher, no spec-to-test pipeline, and no regeneration command in the documented workflow.

Beliefs

• tester-tests-not-auto-regenerated — testertest*.py files contain no auto-generation markers and no regeneration tooling exists in the documented code-expert workflow
• tester-tests-are-distilled-specs — Each testertest*.py is a simplified subset of its corresponding test_*.py, organized by numbered behavioral properties rather than exhaustive edge cases
• code-expert-has-no-test-generation-step — The code-expert workflow (scan → explore → explain → propose-beliefs → review → derive) does not include a test file generation or update step
• tester-and-original-tests-coexist — Both testertest*.py and test_*.py exist side-by-side in each module directory, testing the same implementation with different coverage depth