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Three of the forty-two prompts in this library have been run against a real
codebase. This release publishes the process behind that, including the parts
of the process that went wrong.
What "verified" means, exactly: the prompt was run against a real codebase
and the run produced anti-patterns it did not already contain. It is not a
score, and a prompt nobody has run is not a suspect one.
Verified (3):
platform-engineering— two Kubernetes repositories, an earlier passbackend-services— production code where many services implement one contractdata-platforms— a private production system whose data path is an
operational streaming plane rather than a warehouse
The other thirty-nine have not been run, and each is named individually in
the register so the absence is on the record rather than inferred from a
summary. jvm-backend is the one not simply waiting on time: no codebase with a
JVM service layer was available to run it against, and its row says that.
Two caveats worth more than the tick. data-platforms was run against a
streaming system, so the warehouse half of that prompt — columnar storage, file
formats, compaction, query plans, per-dataset cost — has no evidence behind it,
and nothing was written about it. The absence of findings there is not coverage.
And platform-engineering's corpus was public rather than private, which is a
different kind of evidence.
Also in this release
docs/verification.md— a register with one row per promptdocs/worked-example.md— one prompt end to end, including what it got wrong- A
Verifiedcolumn in the generated index, so a reader can tell at a glance check_no_fingerprint.py— CI now fails if a committed file names a private
codebase. It catches names, paths, and commit hashes; it does not catch
magnitudes, and that limit is documented rather than hidden
The findings were derived from a private system and are published in generalised
form. No name, path, count, or product from that codebase appears in this
repository or its history.
Full detail in CHANGELOG.md.