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Phpstan Doc Code Analyzer Laravel Package

prinsfrank/phpstan-doc-code-analyzer

Analyze and validate PHP code examples in your documentation using PHPStan. This package scans doc blocks and docs for code snippets, runs static analysis, and helps catch outdated or incorrect examples early in CI.

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Product Decisions This Supports

  • Improved Developer Experience (DX): Integrate automated validation of code snippets in documentation (e.g., READMEs, API docs, or tutorials) to catch syntax errors, type mismatches, or deprecated usage before they reach users. Reduces friction for onboarding and troubleshooting.
  • Quality Assurance (QA) Automation: Extend static analysis beyond production code to documentation, ensuring consistency between written examples and actual implementation. Aligns with "shift-left" testing principles.
  • Roadmap for Self-Documenting Code: Justify investment in tooling that enforces documentation accuracy, reducing technical debt from outdated or incorrect examples. Critical for packages/libraries or projects with heavy community adoption.
  • Build vs. Buy: Avoid reinventing a custom solution for snippet validation (e.g., parsing Markdown + PHPStan integration). This package offers a lightweight, maintainable alternative to manual reviews or ad-hoc scripts.
  • Use Cases:
    • Open-source projects where documentation is a key selling point (e.g., Laravel add-ons, SDKs).
    • Internal developer portals or wikis with embedded code examples.
    • CI/CD pipelines to block merged PRs with broken documentation snippets.
    • Tutorials or blog posts where code accuracy is critical (e.g., "How to Use X Feature").

When to Consider This Package

  • Adopt if:

    • Your project relies on code examples in documentation (READMEs, wikis, or API docs) as a primary onboarding tool.
    • You use PHPStan or PHP in your stack and want to extend its analysis to non-production code.
    • Your team lacks bandwidth for manual documentation reviews but prioritizes accuracy.
    • You’re building a library/package where incorrect examples could mislead users (e.g., Laravel plugins).
    • Your CI/CD pipeline already runs PHPStan, and you want to reuse the toolchain without adding complexity.
  • Look elsewhere if:

    • Your documentation is minimal or lacks code snippets (e.g., purely conceptual docs).
    • You use non-PHP languages or frameworks not compatible with PHPStan.
    • Your team prefers manual peer reviews over automated tooling for documentation.
    • You need advanced formatting checks (e.g., Markdown linting) beyond code validation.
    • The package’s low stars/activity (1 star, recent but unproven) raises concerns about long-term maintenance (mitigate by forking or contributing early).

How to Pitch It (Stakeholders)

For Executives/Product Leaders: "This tool automates a critical but often overlooked part of developer experience: ensuring the code examples in our documentation actually work. Think of it like a spell-checker for programmers—catching typos, deprecated functions, or type errors in snippets before users encounter them. For projects where our library/package’s documentation is a key differentiator (e.g., [Laravel ecosystem tools]), this reduces support tickets from confused users and strengthens our reputation for reliability. It’s a low-effort, high-impact way to align our docs with our code, especially if we’re already using PHPStan in our pipeline. The cost? Minimal—just a few minutes to integrate into CI, with payoffs in reduced tech debt and happier developers."

For Engineering Teams: *"We’re adding a lightweight PHPStan extension to validate code snippets in our docs (READMEs, API docs, etc.). This will:

  • Save time: No more manual testing of every snippet in a PR.
  • Improve quality: Catch broken examples early, especially for edge cases or type hints.
  • Leverage existing tools: Works alongside our current PHPStan setup—no new dependencies.
  • Future-proof: Easy to extend for other static checks (e.g., deprecated functions). Proposal: Add a CI check for docs/snippets in the next sprint. Low risk, high reward for DX and QA."*
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