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A green test suite shows that code which uses an architectural seam behaves correctly. It does not show that the next feature will use that seam at all. Tests and dependency boundaries answer different questions, and a seam that has to survive years of feature work usually needs both. Tests cover what the system does. A boundary check covers which code is allowed to reach the thing behind the seam.

Two safeguards that answer different questions

The distinction is about evidence. A behavioral test runs code along a path and asserts the outcome. A structural check reads the code’s dependencies and fails when a dependency appears somewhere it is not approved. The two make different claims, so they fail in different ways.

Safeguard What it establishes How it is enforced What it does not catch
Behavioral tests Expected outcomes along the paths the tests exercise, such as service logic, factory selection, policy rules, outbound request shape, and fallback behavior Assertions run against behavior during the test suite Code that never reaches a tested path. A new component that imports a vendor SDK directly can pass every test if it never triggers the tested behavior
Dependency boundary check Which files may import which modules, and where a sanctioned exception exists The checker parses import specifiers, compares them with an allowlist, and fails CI on any unapproved import Whether the approved code is correct. It says nothing about behavior inside the seam

The practical gap is this: a suite can be fully green while a new file quietly calls the provider directly. The tests are not wrong. They simply never looked at that file.

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The argument is not that tests are useless for architecture, or that every architectural rule needs a custom parser. It is narrower. Tests do not mechanically prohibit a direct import that bypasses a tested service. A boundary rule earns its cost when that particular bypass is both plausible and consequential.

A worked case: WorldScript Studio

The clearest published example comes from a DEV Community article by qnbs, dated September 28, 2026. The code references in that article come from WorldScript Studio at commit 8b329633 and release v1.28.8. The details below are the author’s account of that snapshot. They have not been independently checked against the current repository or release.

The Tauri import checker is in place

The project runs a checker that rejects real @tauri-apps/* imports outside approved locations. It parses import specifiers rather than searching for text, uses an explicit allowlist, and runs in CI. The author describes this check as implemented.

The AI-provider seam is a convention, not a gate

The AI-provider seam has a unified service and a provider factory. Unsupported providers are handled fail-closed, and the author reports more than 200 behavioral cases covering service, factory, policy, outbound-request shape, and fallback behavior. These counts describe that one project. They are not an independent benchmark.

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The AI SDK boundary itself is described as a gap that is policed by convention and review. The author presents a boundary gate for it as a recommendation. It is not described as implemented in the repository.

What the six files show

In that snapshot, six runtime files import vendor SDKs. The author characterizes four of them as deliberate services-layer surfaces. The other two illustrate the erosion problem. One is a feature thunk that imports Gemini schema vocabulary. The other is a React hook pointed at an internal completion URL. The author states that neither directly calls a provider, while also treating the vocabulary import as a maintenance risk: once feature code depends on provider-specific types, changing providers gets harder even without a direct call.

The author’s own framing, with attribution, is useful here: “Tests prove what happens when code uses the seam. A boundary proves that new code cannot route around it.”

Building a boundary check that holds up

The article’s recommendations describe a checker that is strict, cheap, and reviewable. Apply them in this order:

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  1. Inventory the real sanctioned import surface first. List every file that is supposed to import the dependency, and record each exception with a written reason. A bare list of paths gives reviewers nothing to judge later.
  2. Parse actual import specifiers. The checker should recognize static import statements, dynamic import() calls, and require() calls. Matching arbitrary text produces false positives in comments and strings.
  3. Mask whole-line comments. Comment-only lines should not trigger the rule. Be aware of the edge case the author notes: a block comment in the middle of a real code line may still be flagged.
  4. Fail loudly on uncertain input. When the parser meets something it cannot classify, it should stop with an error rather than guess. A silent pass is the failure you are trying to prevent.
  5. Run it as a zero-tolerance CI gate. Any new unapproved import fails the build. Keep the check fast enough that nobody is tempted to skip it.
  6. Review allowlist changes as architectural changes. Adding a path to the allowlist should require the same scrutiny as adding a new module that crosses a boundary, and the diff should be easy to read.

When a boundary rule is worth writing

Not every seam needs a parser. The case for a structural gate is strongest when several conditions hold:

  • A direct import would bypass important logic, such as policy checks, fallbacks, or request shaping that tests already cover.
  • The bypass is plausible. Feature work touches the area often, or new contributors are unlikely to know the seam exists.
  • The consequence is significant. A bypass leaks credentials, skips a safety policy, or locks the codebase to one vendor.
  • The check is cheap to write and run. The allowlist is short enough to review and the parser has a clear failure mode.

If most of these conditions are missing, a well-named module, a code review checklist, and behavioral tests may be proportionate. The AI-provider case in the snapshot above meets several of them, which is why the author treats a gate there as worth recommending.

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Where specification files fit

The official SpecDD documentation offers adjacent context, separate from the WorldScript Studio example. It describes small source-adjacent .sdd files that can record architecture, ownership, constraints, dependencies, non-goals, and local tasks. Its distinction is useful: tests describe expected behavior, while specs also explain why behavior belongs where it does. A spec can document that a module is the only sanctioned route to a provider, and a boundary check can then enforce that statement. The documentation states that SpecDD can be used with or without AI agents.

What the evidence does and does not establish

  • The counts in the case study, including more than 200 test cases and six vendor-importing files, describe one project in one 2026 snapshot. They are not general industry figures.
  • No independent published statistic on how effective architectural boundary checks are was identified. Whether a gate prevents erosion over time in typical teams is an open question that this case does not answer.
  • The Tauri checker’s described behavior is the author’s account of commit 8b329633. Readers working on a different codebase should verify the parser’s handling of their own import styles.

The division of labor

Tests tell you whether the seam does its job when it is used. A boundary check tells you whether new code is still forced through the seam. Use tests for behavior, use a gate where a specific bypass would be costly, and record the reasons for each exception so the next change to the architecture is visible in review.

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