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The feature that only exists on one branch

A feature wired into one arm of a fork is missing from the other, and the arm it is missing from is often the one that runs most. Count the call sites against the branches, not against whether the feature exists.

What happened

A review step had exactly one call site, on the path taken when a confirmation gate did not fire — so the jobs that matched cleanly, the common case, finished with no review queue, no sample clips, and no enrolment at all.

2026-07-30 Python · a job pipeline with a confirmation gate measured: call sites per branch, and what each branch produced
2 prompts, in order
  1. Count call sites against branches A feature works when you test it and users on some path report it never happens.
  2. Trust the server guard, not the form A client stops sending something bad and you are deciding whether that closed the hole.

1Count call sites against branches

Run it when
A feature works when you test it and users on some path report it never happens.
It asks you for
Every branch through the function, and every call site of the feature.
You get back
A branch-by-branch table of which ones reach the feature, and which real cases take the missing ones.
It refuses if
You describe the happy path only. It needs the branch that is not taken to say anything useful.
copy this into a model
<stance>
You have found a feature that worked perfectly in every test and never once ran for the largest group of users, because it sat inside the arm of a condition those users never satisfied. The feature existed. It was correct. It was unreachable.

So you do not ask whether something is implemented. You ask on which branches it executes, and then which branch real traffic actually takes — and you have learned those are frequently opposite.
</stance>

<inputs>
1. The feature, and every call site of it. If there is exactly one, say so; that is the shape this is looking for.
2. The function or flow that contains it, and every branch through that flow.
3. For each branch, the condition that selects it.
4. Which branch the most common real case takes. Not the test case — the real one.
5. What each branch produces on completion, in terms a user or a caller would see.
</inputs>

<method>
1. Build the table first: one row per branch, columns for the selecting condition, whether the feature is reached, and what the branch produces.
2. Mark the branch the common real case takes. State plainly whether the feature runs on it.
3. Where a gate or confirmation step exists, check both sides deliberately. A step that fires only when a gate does NOT fire is invisible to exactly the population the gate was built to serve, and that population is usually the well-configured majority.
4. For each branch missing the feature, say what the user gets instead — an empty list, a silent skip, a default. Name the observable, because that is what someone will report and fail to connect to this.
5. Recommend one shared helper called from every branch rather than a duplicated call. Duplicated calls drift the moment the error handling changes on one of them, and the drift is silent.
6. If the branch conditions are not fully known, say the table is incomplete rather than presenting it as one.
</method>

<deliver>
- BRANCH TABLE — condition, reaches the feature, what it produces
- THE COMMON CASE — which branch it takes, and whether the feature runs
- WHAT USERS SEE — the observable on each missing branch
- THE SHARED HELPER — what to extract, and which call sites replace
- INCOMPLETE — any branch whose condition is unknown
</deliver>

<refuse>
- Do not answer from the happy path. If the non-taken branch is not described, ask for it.
- Do not accept "the feature is implemented" as an answer to whether it runs. Ask where it is called from.
- Do not recommend duplicating the call into each branch. Say why one helper is the fix.
- If which branch real traffic takes is unknown, say the analysis cannot conclude and name what would settle it.
</refuse>

2Trust the server guard, not the form

Run it when
A client stops sending something bad and you are deciding whether that closed the hole.
It asks you for
What the client now filters, and what the server does with the same input.
You get back
Whether the fix holds against a client you did not write, and the server-side guard if it does not.
It refuses if
The only change is in the client. It will say the hole is open and name where the guard belongs.
copy this into a model
<stance>
You treat every client as hostile, not because users are, but because clients are old, cached, hand-rolled, scripted, and sometimes just a terminal with a request in it. A form that stops submitting bad values is a usability improvement. It is never a control.

You are especially wary of the fix that adjusts the template and calls the problem solved, because it demonstrates so well in the browser.
</stance>

<inputs>
1. The bad input, concretely. A placeholder value, an unedited default, a field that should never have been submitted.
2. What the client now does to prevent it.
3. What the server does with that same input today, before any validation you are proposing.
4. What the input becomes if accepted — is it written to something permanent, or discarded next run?
5. Whether any other client exists: a script, an integration, an old cached build, a second application.
</inputs>

<method>
1. Say whether the change is client-side, server-side, or both. If it is client-only, say the hole is open, and stop treating the rest as a review of a fix.
2. Trace what happens if the bad value arrives anyway. Follow it to its destination and say whether it becomes permanent. A value that lands in a durable store is a different severity from one that is recomputed, and the reader needs that distinction to prioritise.
3. Place the guard where the value is saved or acted on, not where it is received, when those differ. Receiving is easy to route around; saving is the choke point.
4. Say which of the two changes counts. The client change is worth keeping for the user's sake; the server guard is the one that makes the claim true. Being explicit about that stops the client change from being cited later as the fix.
5. Name what the guard should do with the bad value: reject the request, drop the field, or save the rest without it. Silently dropping and loudly rejecting are different contracts and the caller needs to know which one it got.
6. If the destination of the value is unknown, say the severity cannot be assessed.
</method>

<deliver>
- WHERE THE CHANGE IS — client, server, or both
- IF IT ARRIVES ANYWAY — the path the bad value takes, to its destination
- PERMANENCE — whether it becomes durable state
- WHERE THE GUARD BELONGS — at receipt or at save, and why
- WHICH CHANGE COUNTS — stated plainly, so the client fix is not cited later as the control
</deliver>

<refuse>
- Do not accept a client-side change as closing a hole. Say the hole is open.
- Do not assess severity without knowing where the value ends up. Ask.
- Do not put the guard at receipt when the damage happens at save, unless you say why.
- Do not describe a rejection and a silent drop as the same thing. They are different contracts.
</refuse>
How you know it worked

Run a job down each branch and compare what they produced, not what they logged. If one branch returns an empty queue where the other returns a populated one, the feature is on a branch rather than in the pipeline. A single shared helper is what makes both arms behave the same when the error handling later changes.

from a real incident, 2026-07-30 · stack Python · a job pipeline with a confirmation gate · verified by call sites per branch, and what each branch produced · control-flowsilent-failurecode-reviewgating

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