README: pin --version to this repo's commit in the ingest recipe
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EvxzSKi1zR395wvYXUenVE
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@@ -34,12 +34,17 @@ Markdown needs no conversion and no extraction verifier — admit it straight fr
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```bash
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index.py admit ~/dev/handbooks/git-operations.md --corpus engineering \
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--vouch mikkeli --title 'Git operations' --collection dev-practice
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--vouch mikkeli --title 'Git operations' --collection dev-practice \
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--version "$(git -C ~/dev/handbooks rev-parse --short HEAD)"
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```
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Without `--title` the document is titled by its filename, which is what a retrieval hit then shows.
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`--collection` is a flat cluster tag; getting it wrong costs recall and nothing else.
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⚠ **`--version` is this repo's commit, and it is the one that matters.** Re-admitting replaces a
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document outright with no version history, so the pin is the only record of which revision a chunk
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reflects.
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⚠ **Editing a file here does not update the corpus.** Re-admission is deliberate, because the vouch
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is a claim about a specific version of a document.
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@@ -0,0 +1,68 @@
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# Failure handling
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> Composed 2026-08-22. General practice, not tied to any one project or language. Input contract
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> discipline is composed; failure-propagation discipline is still outline.
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## Scope
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General discipline for how code should behave when it encounters conditions it can't cleanly
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complete against — malformed input, an unreachable dependency, an assumption that turns out false.
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Two sections: what a function's contract should say about the input space before it's written, and
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what happens once something has actually gone wrong.
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Excluded on purpose: language-specific exception syntax, logging infrastructure choices,
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testing-framework mechanics, and environment/verification parity ("tested" vs. "tested where it
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actually runs") — that last one is close enough to earn a future handbook of its own rather than a
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section here.
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## Input contract discipline
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**Degenerate input is the default case to design for, not an edge case bolted on after.** Empty
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collections, duplicate entries, out-of-range values, malformed or wrong-typed data, oversized
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payloads, and concurrently-modified reads are not rare — they're what actually arrives once code
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leaves a demo. Design for that space first, and treat "obviously fine" input as the special case, not
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the other way around.
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**Validate, sanitize, and reject are three different responses — not one blurred behavior.**
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- **Validate** — check conformance against the contract, making no change to the input. Proceed only
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if it holds.
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- **Sanitize** — transform nonconforming input into conforming input. The transformed value is what
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proceeds, treated exactly as if the caller had sent it that way to begin with.
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- **Reject** — refuse to proceed, surfacing why (see Failure-propagation discipline for what
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"surfacing why" should actually look like).
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**Sanitize only what's meaning-preserving; reject anything that requires guessing intent.**
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Sanitizing has a real cost: the caller's actual input is never seen again, only its cleaned-up
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substitute. That's fine when the correction is unambiguous — trimming incidental whitespace,
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normalizing Unicode form, case-folding under an already-documented case-insensitive contract. It's
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not fine when the correction requires guessing what the caller meant — clamping an out-of-range
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number to its nearest valid bound, silently truncating an oversized value, defaulting a missing
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required field. The test: *would the caller be surprised to learn what actually happened to their
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input?* If yes, reject instead of sanitizing — finding out via an error immediately is strictly
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better than finding out weeks later that a value was quietly substituted for the one actually sent.
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Silent sanitization of an out-of-range value and a guard that returns success without checking are
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the same failure shape: something couldn't proceed correctly, and produced a plausible-looking result
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instead of saying so.
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**Validate at trust boundaries; trust your own internals.** Check input where it crosses from outside
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your control into it — user input, an external API response, a file read from disk, a message from
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another service. Code on the inside of that boundary, already known to satisfy its own contract (by
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type, by test, by the caller being code under the same control), doesn't need to re-validate what its
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caller already guaranteed — that's redundant defense that doubles maintenance cost without doubling
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safety. The boundary is where trust actually changes; that's the only place validation earns what it
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costs.
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**Before writing the implementation, write the contract's answer for each category.** A function's
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contract should state, explicitly, what happens for: empty input, a duplicate where uniqueness was
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assumed, a value outside the expected range, a type mismatch, an oversized input, and a stale or
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concurrently-modified read. Leave any of those unanswered, and the implementation will invent an
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answer under latitude — usually the same way, by quietly doing something plausible instead of
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refusing. Writing the answer down first is what closes that gap; discovering it during implementation,
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or worse in production, is what leaves it open.
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## Failure-propagation discipline
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*(Not yet composed.)*
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*(Handbook in progress — sections above stand as citable units; the rest is outline.)*
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