Standards Laravel Package

Product Decisions This Supports

• Release readiness / go-no-go gates. A "deployment preflight" gives the team a single command that must pass before a deploy. This turns release approval from a judgment call into a repeatable checklist, which is directly useful for deciding whether a given release ships on schedule or slips.
• Architecture governance as code. "Rule-tagged architecture checks" implies enforceable boundaries (e.g., controllers must not call models directly, domain layers must not depend on framework code). This supports roadmap decisions about when to invest in refactoring versus accept debt: rules can be adopted incrementally, with known violations baselined and burned down over time.
• Build vs. buy for internal quality tooling. The alternative is hand-rolling Artisan commands, PHPStan custom rules, Deptrac/Arkitect configs, or GrumPHP hooks. This package is a candidate to replace that bespoke glue, reducing the maintenance surface a Laravel team owns.
• CI pipeline segmentation. Rule tagging supports running a fast subset on pull requests and a fuller set pre-deploy or nightly — a product decision about developer feedback latency versus coverage.
• Standardization across services. If the org runs multiple Laravel apps, a shared rule vocabulary gives a common definition of "healthy" that can be reported upward, useful for platform-team charters and engineering KPI reporting.
• Onboarding and code review. Codified rules shorten the "what does good look like here" conversation for new hires, reducing review-cycle time — a measurable input to delivery velocity.

When to Consider This Package

Consider it when all of the following hold:

• The stack is Laravel/PHP and will remain so for the planning horizon.
• You have no meaningful architecture enforcement today, or enforcement lives in brittle custom scripts that one person understands.
• You want a pre-deploy gate distinct from unit tests — something that checks structure and configuration, not just behavior.
• You value taggable rule subsets so PR feedback stays fast while deploy checks stay thorough.
• You can absorb the risk of an early-stage, single-maintainer dependency — i.e., you are willing to fork, pin, or wrap it, and it is not on a critical path you cannot patch yourself.
• License terms matter: MIT is compatible with commercial and closed-source use, which removes legal friction for a pilot.

Look elsewhere when:

• Adoption signals are a hard requirement. Zero stars and zero dependents means no ecosystem validation, no third-party battle testing, and effectively no community support channel. If your procurement or security review requires a maintenance track record, this will not clear it.
• You already run Deptrac, Arkitect, PHPStan/Larastan with custom rules, or GrumPHP and they are working. Migrating buys you little and costs a spike.
• You need vendor SLAs, security disclosure processes, or long-term support commitments. This is not that kind of dependency.
• The release date needs verification. The recorded last release (2026-10-29) post-dates the current period, which suggests a metadata artifact or a pre-announced tag. Treat release cadence and changelog quality as unproven until confirmed by inspecting the repo directly.
• The team is not Laravel-centric, or the checks you actually care about are language-agnostic — a generic linter or policy engine is the better fit.

Recommended posture: pilot, don't standardize. Run it read-only against one non-critical Laravel service, measure the false-positive rate on existing code, and only then decide whether to wire it into a blocking CI gate. Keep a fork path open.

How to Pitch It (Stakeholders)

For executives (one paragraph): We are evaluating a small, MIT-licensed Laravel tool that acts as a pre-deployment checkpoint — it verifies that the codebase still obeys the structural rules we agreed on before anything ships. The business case is incident prevention and predictable delivery, not new features: it converts "we think this is safe to deploy" into an automated pass/fail. Cost is effectively zero in licensing and a few engineer-days to pilot. The material risk is maturity — the project has no meaningful adoption yet — so the recommendation is a contained trial on one service with a fork-and-own fallback, not a company-wide mandate.

For engineering leadership: This gives us taggable architecture rules plus a preflight gate in one place, which is exactly the seam between "tests pass" and "this is safe to release." It replaces bespoke CI glue that currently has no owner. We can adopt rules incrementally, baseline existing violations, and keep PR checks fast while running the full set before deploy. The trade-off is that we would be an early adopter: expect to read the source, pin versions, and possibly maintain a fork. That is acceptable if we scope it to one service first and treat the rule set — not the package — as the durable asset we own.

For the pilot team: Treat the rule definitions as our IP and the package as a runner. Write the rules we care about, measure noise on the current codebase, and report false-positive rate and CI time added. Success looks like: gate runs in under a couple of minutes, fewer than a handful of disputed rules, and at least one caught issue that would otherwise have reached production.