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Freedom251 › Blog › accessibility

How to Make Your Build Catch AI-Generated Bugs Before Deployment

By Freedom251 Team · · 11 min read

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You do not need to read every line of an AI-generated diff to catch the failures most likely to hurt a static site. Make the build inspect the finished dist/ directory, fail on known defects, run that check on every pull request, and make deployment depend on a passing result. A verifier catches dead links, duplicate headings, missing image text, stale migration markup, incomplete sitemaps and other mechanical regressions consistently. People should still decide whether an abstraction is sound, a feature belongs in the product, or an AI agent touched a high-risk area.

That division of labor is the practical answer to reviewing AI code at modern generation speed: machines handle repeatable evidence checks; humans spend their time on architecture, intent, scope and risk.

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Why reading every AI diff stops scaling

The review-time mismatch

Othmane ETTAIB describes the mismatch plainly: “Claude produces a plausible two-hundred-line diff in roughly a minute.” Carefully checking those 200 lines, rather than skimming their shape, takes him 15 or 20 minutes. The generated code can look coherent while still introducing a broken route, an inaccessible image, invalid migration leftovers or a page omitted from the sitemap.

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Trying to read faster does not solve that mismatch. ETTAIB’s conclusion is, “So I stopped trying to read faster.” He moved the repeatable questions into a build verifier. The verifier has no opinion about whether code is good; it answers narrower questions that can be tested against the artifact users will receive.

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What a build can and cannot know

  • Build-owned questions: Does every generated page have exactly one <h1>? Does each image have an alt attribute? Do internal links and redirect targets resolve in the built site? Are placeholder strings, Blogger remnants and missing sitemap entries present? Do standards-facing files have the required structure?
  • Human-owned questions: Is the feature worth shipping? Is an abstraction appropriate? Is the implementation understandable and maintainable? Did an agent modify a security-sensitive or otherwise high-blast-radius area?

Keeping those categories separate prevents a false promise that automation replaces engineering review. It also means the team can measure whether a check is deterministic and useful instead of adding rules simply because they sound thorough.

The verifier workflow: inspect what will actually ship

1. Build the site first

The verifier operates on the generated dist/ directory, not just source files. That matters because templates, routing and asset pipelines can change the final HTML in ways a source-only linter cannot see. A source file may look correct while the rendered output contains two headings, a stale link or missing metadata.

2. Run one command that builds and verifies

In this setup, npm run check runs the build and then the verifier. The underlying script is scripts/verify.mjs, a dependency-free Node.js program 169 lines long in ETTAIB’s example. A single command gives local development and continuous integration the same pass/fail contract.

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3. Make pull requests prove the contract

Every pull request runs the check. A contributor gets a failure before merge, while the generated files and the exact failing path remain available for correction. The check should inspect the same output that the deployment job will publish; otherwise a green source check can still hide a broken artifact.

4. Make deployment depend on the check

The deployment job depends on the verification job. If verification exits non-zero, the branch does not reach the internet. This dependency is the enforcement point: a warning in a developer’s terminal cannot protect production if a later job deploys regardless of the warning.

Rules that catch real static-site regressions

Each rule below came from a concrete failure rather than an attempt to write an exhaustive style guide. The useful question is whether the defect is mechanical, externally visible and cheap to test.

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Exactly one <h1> per page

A generated template once emitted two <h1> elements. The verifier checks every built page and fails when the count is not exactly one. This is a structural invariant: it does not judge the wording of the heading, but it reliably catches a duplicated template slot or an accidental page-level heading.

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An alt attribute on every image

Lighthouse exposed accessibility regressions caused by images without alternative text. The check requires an alt attribute on every generated <img>. It catches omissions in content, components and templates before an accessibility audit has to find them. The rule does not decide whether the description is meaningful; a person still needs to review important wording, decorative-image handling and context.

Dead internal links

A renamed route once left a 404 behind. The verifier resolves site-absolute URLs against files actually present in dist/. Before checking, it strips URL fragments and query strings, then accepts either a matching file or an index.html directory target. That behavior models how a static host serves routes while avoiding false failures for an anchor such as /guide#install or a query-bearing URL whose path is valid.

Because the check runs after the build, it catches links introduced by generated navigation, content transforms and route renames. A link to /games/word-slot fails when neither that file nor its directory index exists.

Valid _redirects targets

Redirect rules can outlive the pages they point to. The verifier checks that every target named in _redirects resolves in the built output. This turns a redirect that silently leads to a deleted page into a merge-time error, while preserving intentional redirect behavior for pages that still exist.

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No placeholder or filler copy

Draft text nearly reached production, so the build rejects known placeholder or filler copy. This rule is intentionally tied to phrases that have caused an incident in the project. Keep the list focused: a detector that flags ordinary editorial language will create noise and teach contributors to ignore the entire verifier.

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No Blogger markup after migration

Migration leftovers resurfaced in generated output. A check for Blogger markup prevents those legacy fragments from returning unnoticed. It is particularly valuable when old content and new templates share a pipeline, because a clean source tree does not guarantee a clean artifact.

Every page listed in sitemap.xml

New pages were silently omitted from the sitemap. The verifier compares the built pages with sitemap entries and fails when a page is missing. This is an output-level completeness check: publishing a file is not enough if the site’s discovery file does not represent it.

Standards-facing files need deterministic checks too

IndexNow key validation

The verifier checks the IndexNow key file in two ways. First, the key must match the expected hexadecimal format. Second, the corresponding /<key>.txt file must exist at the site root. If that file is missing, crawlers silently ignore submissions, so a syntactically valid submission process can still have no effect. Checking both the value and its published location catches that mismatch in the build.

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Field-by-field app-ads.txt parsing

app-ads.txt is parsed field by field against the IAB specification rather than treated as an opaque text file. A parser can reject malformed records and unexpected fields while leaving business decisions, such as which authorized sellers belong in the file, to the site owner.

These files illustrate why coverage should include external-facing artifacts, not only application syntax. Search crawlers, ad systems and redirecting hosts consume files that ordinary unit tests may never open.

Set a Lighthouse budget, then control its noise

The four thresholds

Category Required score What a failure means
Performance At least 90 The generated page missed the minimum performance budget under the audit conditions.
Accessibility 100 An audited accessibility issue remains in the page.
Best practices 100 The page did not meet the configured best-practices checks.
SEO 100 The page did not meet the configured SEO checks.

These are gates, not claims that every page is perfect in every environment. The performance threshold is especially sensitive to the machine running the audit. ETTAIB gives a concrete example of value: the budget caught a contrast failure in code-comment gray that might otherwise have shipped.

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Retry only the noisy measurement

Shared CI runners make performance scores fluctuate. To avoid training people to click through random failures, the gate re-measures only when performance misses and stops after a retry limit. Accessibility, best-practices and SEO failures remain direct failures rather than receiving endless retries. A retry policy should be finite and visible; otherwise a genuinely slow page can be hidden behind repeated runs.

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Design failures that lead directly to fixes

Put the page and defect in the message

An error such as ERROR /blog/index.html: dead internal link → /games/word-slot identifies the file, rule and offending value. It can be pasted into an AI coding session and usually points the next action toward the correct template or content entry.

By contrast, validation failed creates another conversation: Which file? Which rule? What value? The verifier should report enough context for a contributor to reproduce and repair the defect without reading its source code first.

Keep output stable

Deterministic ordering and consistent wording make failures easier to compare across local runs and CI. When several defects exist, report them in a predictable order or provide all actionable failures in one run. The goal is not a dramatic wall of diagnostics; it is a short path from failure to a verified fix.

A practical implementation sequence

Start with failures that have already cost time or reached users. Add one rule at a time, then wire the command into both pull requests and deployment.

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  1. Inventory the artifact. Identify the built directory, generated HTML pages, redirect file, sitemap, IndexNow key file and app-ads.txt. Confirm which files are truly published.
  2. Write the smallest deterministic checks. Begin with one <h1>, image alt, internal-link resolution and redirect-target resolution. These produce clear pass/fail results from local files.
  3. Add incident-driven content checks. Encode the placeholder phrases and Blogger markers that have actually appeared. Avoid a broad ban list that catches normal copy.
  4. Check completeness files. Compare generated pages with sitemap.xml, validate the IndexNow key format and root file, then parse app-ads.txt fields against its specification.
  5. Add Lighthouse as a separate budget. Enforce performance at least 90, accessibility 100, best-practices 100 and SEO 100. Apply a finite retry only to a performance miss.
  6. Improve diagnostics. Include the exact path, rule and offending target in every error. Test a deliberate failure for each rule so the message is understandable before the first real incident.
  7. Enforce the dependency. Run npm run check on pull requests and require that successful check before deployment. Verify that a non-zero exit prevents publishing.
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Do not start with an exhaustive rulebook

A long list of rules that almost never fire creates noise. Contributors begin treating the verifier as an obstacle, retrying until it turns green instead of investigating. ETTAIB recommends adding checks in response to observed failures: a second incident can justify a rule, while a hypothetical edge case may not.

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Review each rule with four questions:

  • Did this defect occur, or is there strong evidence it can occur in this pipeline?
  • Can the build determine the answer without subjective judgment?
  • Will a failure message identify a specific repair?
  • Does the rule protect the published artifact rather than merely enforce a preferred source style?

Remove or redesign checks that produce frequent false positives. Reliability is part of correctness: a verifier that people routinely bypass is not a deployment control.

How to compare verification approaches

Axis Questions to ask Strong implementation signal
Determinism Does the same artifact produce a stable pass or fail? Local and CI runs agree, with retries isolated to known noisy measurements.
Coverage Does it inspect built output and external-facing files, not only source syntax? It checks dist/, redirects, sitemap, IndexNow and app-ads.txt.
Signal-to-noise Are rules tied to observed failures and actionable messages? Each error names a page, defect and target or value.
Deployment enforcement Can a failed branch still deploy? The deployment job depends on the verification job.
Flake resistance Are noisy measurements retried or isolated? Only a performance miss is re-measured, with a retry limit.
Scope Which decisions remain explicitly human-owned? Architecture, feature value, code quality and high-risk areas stay with people.

This comparison helps distinguish a real release gate from a collection of linters. A source-only syntax check may be fast but miss the broken route users will request. A comprehensive suite may cover more conditions but provide little value if it is flaky or impossible to interpret.

Failure scenarios and the fastest recovery path

A dead link appears after a route rename

  1. Read the reported page and target, for example /blog/index.html and /games/word-slot.
  2. Check whether the destination was renamed, moved under an index.html directory, or intentionally removed.
  3. Update the source link or restore the intended destination.
  4. Rebuild and run npm run check locally.
  5. Confirm the pull-request check passes before deployment.

A page fails the single-heading rule

Inspect the generated page first, then trace both headings back to the template slots or content fields that produced them. Remove the duplicate at the source rather than adding an exception for that page. The invariant is about the final document, so the generated output is the right starting point.

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Lighthouse performance fails intermittently

Allow the configured finite retry to run. If the retry passes, record that the first measurement was noisy; if the retry also fails, treat the page as a real budget miss. Do not add unlimited retries or weaken the accessibility, best-practices or SEO thresholds to mask a performance problem.

IndexNow submissions are ignored

Verify the hexadecimal key value and then verify that a file named exactly /<key>.txt is present at the published root. Both conditions must hold. A correct key in configuration does not compensate for a missing root file.

A migration marker returns

Search the built output for the Blogger markup flagged by the verifier. Trace it to the migrated content or transformation that reintroduced it, remove the source residue, rebuild and rerun the check. Do not silence the rule for one page unless that markup is intentionally required and the exception has a documented owner.

What still deserves human review

The build cannot decide whether code quality is good, whether an abstraction is appropriate, whether a feature is a bad idea or whether an agent touched a high-risk area. Those questions involve intent, context and consequences outside the generated files. A 169-line verifier can prove many structural properties without proving that a payment flow, authentication boundary or content strategy is sound.

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Use the automated result as a floor for review, not a replacement for it. Once the build is green, a human can focus on the changed behavior, architectural fit, security implications and blast radius instead of spending the entire review looking for another missing alt attribute or 404.

The operating checklist

  • Build the site into dist/ before validating.
  • Run npm run check locally and in pull requests.
  • Require the verification job to pass before deployment.
  • Check exactly one <h1> per page.
  • Require alt on every generated image.
  • Resolve site-absolute internal links after stripping fragments and query strings; accept file and index.html directory targets.
  • Resolve every _redirects destination.
  • Reject known placeholder or filler copy and Blogger markup.
  • Ensure every page appears in sitemap.xml.
  • Validate the IndexNow hexadecimal key and matching root /<key>.txt file.
  • Parse app-ads.txt field by field against the IAB specification.
  • Enforce Lighthouse performance at least 90, accessibility 100, best-practices 100 and SEO 100.
  • Retry only noisy performance misses, with a finite limit.
  • Make every error name the exact page and defect.
  • Keep architecture, feature scope, code quality and high-risk decisions with human reviewers.

The result is not an excuse to ignore AI-generated code. It is a more durable review system: the build catches the mechanical failures that repeat, while people apply judgment where a pass/fail rule cannot.

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