phattarachai/laravel-ai-docs
Laravel AI Docs generates AI-friendly documentation for your Laravel application, exposing clean markdown and llms.txt endpoints so assistants and LLM tools can understand your app's routes, models, and features. Simple to install and configure.
laravel-ai-docs turns a Laravel app's markdown docs into a structured, machine-readable surface for AI assistants and agents. The decision this informs: do we hand-roll an llms.txt / context endpoint, or adopt a maintained package? A single-maintainer package with a small, steady release cadence favors buy — unless AI docs are a core product surface.index.md group front matter (#19). This is a content-modeling decision, not just a rendering one: it lets us group docs into named sections declaratively in markdown rather than in config or code. That makes docs taxonomy a content-owner responsibility instead of an engineering one — worth weighing when deciding who owns the docs repo.Adopt when:
index.md files rather than a database or CMS.Look elsewhere when:
Note: v1.5.0 is an additive, non-breaking change with a documentation update. No migration, deprecation, or config change is implied — existing adopters can upgrade without product-side work.
For executives: We're evaluating a small Laravel package that publishes our markdown documentation in a form AI assistants can read reliably. The latest release adds named folder grouping via index.md front matter, which improves how AI tools navigate and cite our docs — a quality improvement we get for free from the maintainer rather than funding ourselves. Cost is low; the main risk is dependence on a single maintainer, which we mitigate by pinning versions and keeping content in standard markdown so it stays portable.
For engineering: Drop-in, convention-based, no infrastructure. Docs stay as markdown in the repo; structure is expressed through front matter, so content owners can reorganize sections without code changes. v1.5.0 is additive and non-breaking — safe to upgrade. Before committing, validate that the package's output format and grouping match our retrieval needs, and confirm we're comfortable with the maintenance profile of a single-author dependency. If we later need versioned docs, auth-scoped content, or search, expect to extend or migrate — so keep content in plain markdown to preserve that exit.
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