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Core Laravel Package

secretary/core

Core package for the Secretary Laravel ecosystem, supplying shared contracts, service providers, and foundational utilities that other Secretary packages build on. Install it as the base layer for consistent configuration and integrations.

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Technical Evaluation

Architecture fit. secretary/core is the read-only split of a monorepo library, not a standalone application package. That pattern (Composer subtree-split, as used by illuminate/*) is well understood and generally safe to consume, but it carries a specific implication: the package is a leaf dependency by design, and its release cadence, tag semantics, and issue tracker all live in the parent repository. Before any architectural commitment, confirm how core relates to the rest of the Secretary distribution (is it the shared runtime for a config-driven admin/CRUD layer? does it require a companion secretary/secretary installer? does it ship a service provider that auto-registers?). The answers determine whether we are adopting a library or a framework.

Integration feasibility. Mechanically, adoption is low-friction: MIT license, Composer-native, and a Laravel service provider can be discovered and registered without touching bootstrap code. The real feasibility question is contract surface — what does core expect from our domain layer (model base classes, config schema, field definitions, migration ownership)? If the package owns schema generation, it will want to drive migrations, which immediately collides with an existing, hand-managed migration history. That is the single largest feasibility gate and should be spiked first.

Technical risk. High, and concentrated in three areas:

  • Adoption signal. 2 stars and 0 dependents is effectively zero community validation. There is no population of production users to surface edge cases, no Stack Overflow corpus, and no third-party tutorials. Every integration question becomes a direct question to the maintainers.
  • Bus factor. A read-only split typically means one or a very small number of upstream maintainers. A stalled parent repo strands the split packages with no path to patch except a fork.
  • Version coupling. Low-traffic Laravel packages frequently lag the framework's major releases. If the constraint set stops at Laravel 10 or PHP 8.1, our upgrade roadmap inherits that ceiling.

The opportunity score (≈42) is consistent with a package that has a coherent design but no market proof.

Key questions.

  1. What is the parent repository's commit activity in the last 12 months, and what are its open-issue and open-PR counts?
  2. Which Laravel and PHP versions are in the require constraint today, and how quickly did the last two Laravel majors land?
  3. Does core own database migrations and table naming, or does it operate over models we define?
  4. What is the public API stability promise — does the parent repo follow SemVer, and are there documented BC breaks in minor releases?
  5. Is there a paid support tier, or is this strictly best-effort MIT?
  6. Does it require a companion package (admin UI, asset pipeline) to be useful, and is that companion equally maintained?

Integration Approach

Stack fit. The package is a natural shape match for a Laravel monolith that already uses service providers, config publishing, and Eloquent. It is a poor fit for anything with a strict domain boundary — a modular monolith with enforced boundaries, or a service that must not expose an admin surface. Assume it presumes a conventional Laravel app skeleton until proven otherwise.

Migration path. Sequence the work to fail cheaply:

  1. Isolation spike (1–2 weeks). Stand up a throwaway Laravel app pinned to our target framework version, install secretary/core plus any companion packages, and reproduce one non-trivial resource end to end. Deliverable is a written verdict on the config schema, the migration story, and the constraint set — not a demo.
  2. Read-only pilot. If the spike passes, point the package at one existing table in a non-production environment, in read-only mode. This isolates the risk that matters: does it tolerate a schema it did not generate?
  3. Bounded greenfield slice. Let it own exactly one new, low-traffic admin module — generated schema included. This is where we learn its real behaviour around migrations and upgrades.
  4. Broaden or abandon. Only after surviving one Laravel patch upgrade and one package minor bump do we consider a second module.

Compatibility. Two coexistence questions must be answered before step 2. First, does it conflict with an existing admin layer (Nova, Filament, Backpack) at the route, config-namespace, or service-provider level? Second, are its asset/route registrations namespaced, or will they squat on generic paths? Run the pilot behind a route-prefix and a dedicated auth guard so a rollback is a single config line.

Sequencing. Do not let this package touch authentication, authorization, or tenancy boundaries in phase one. Keep it strictly to CRUD over a domain model we already own. Any adoption that requires the package to define identity is a re-scoping decision, not an integration task.

Operational Impact

Maintenance. Ongoing cost is dominated by upstream divergence, not our own code. We will be tracking a package whose releases are cut from a monorepo on someone else's schedule; if the parent goes quiet, we inherit the fork. Budget explicitly for a named owner who watches the parent repo, and treat a fork as a pre-approved contingency rather than an escalation. Pin to exact versions (1.2.3, not ^1.2) and upgrade deliberately.

Support. There is no vendor, no SLA, and no community to lean on. Support is whatever the maintainers volunteer. That is acceptable for an internal admin tool with a small blast radius; it is not acceptable anywhere the package sits on a customer-facing path or a revenue-critical workflow. If the team cannot absorb "we fix it ourselves" as a realistic outcome, this package should not ship.

Scaling. Two vectors to watch. Data volume: config-driven admin layers commonly build list views with naive query construction — validate pagination, filtering, and eager-loading behaviour against a table with real row counts, not fixtures. Schema breadth: the config DSL tends to scale worse than the code it replaces; past a few dozen resources the configuration becomes its own maintenance surface with no type safety. Cap the number of resources it owns and re-evaluate at that cap.

Failure modes. Ranked by likelihood and severity:

  • Schema drift — package-generated schema and hand-written migrations diverge silently; manifests as runtime errors after a deploy. Mitigate by letting the package own schema only where it is the sole author.
  • Silent upstream abandonment — no error, just no fixes; discovered when a Laravel upgrade blocks. Mitigate with a quarterly health check on the parent repo.
  • Breaking change in a minor release — plausible given the maturity level. Mitigate with exact pins and a CI job that runs the upgrade before humans do.
  • Route/config namespace collision with an existing admin package — low severity, caught early in the pilot if the pilot is done properly.
  • Lock-in to the config DSL — the expensive one. If business logic migrates into package config, exit cost climbs with every resource added. Keep domain logic in application code and treat the package as a presentation layer.

Ramp-up. Expect 3–5 days for a Laravel-fluent engineer to become productive in the config DSL, plus 1–2 days of genuine friction learning its conventions and its failure messages. The absence of tutorials and Q&A means that ramp-up is unassisted — the learning material is the source code. That is tolerable at this adoption scale but does not amortize: if the team grows, plan for a written internal runbook as a deliverable of the pilot, or the second engineer pays the same cost again.

Bottom line for the decision owner. This is a low-cost, low-commitment experiment and a poor foundation. The integration ceiling is a bounded internal admin module behind a feature flag, with exact version pins and a named owner. Anything beyond that — customer-facing surface, identity, or broad schema ownership — should wait for evidence of upstream health that does not currently exist.

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