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Php Assumptions Laravel Package

rskuipers/php-assumptions

PHP Assumptions is a static analysis tool that detects hidden assumptions in your code, like variables used without guarantees about their type or existence. It reports each assumption, helping you catch risky spots and improve type safety. Runs via Composer and CLI.

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Product Decisions This Supports

  • Technical-debt prioritization. The tool reports where code silently assumes things it never checks — a value is non-null, an array key exists, a call returns an object of a given shape, a variable is defined. Assumption density per file/module is a usable proxy for fragility, so it helps rank modules for hardening work instead of guessing.
  • Scoping a typing/strictness initiative. If the roadmap includes declare(strict_types=1), native parameter/return types, or a PHPStan/Psalm level increase, this gives a cheap pre-read on how much implicit contract exists in the codebase and where the payoff concentrates.
  • Build vs. buy for static analysis. It is a focused, MIT-licensed dev dependency built on nikic/php-parser. That makes it a low-cost "buy" for one specific lens rather than a reason to build custom AST tooling in-house.
  • Where to add runtime guards vs. type declarations. Assumptions flagged in boundary code (controllers, console commands, integrators of third-party SDKs) argue for validation/guards; assumptions in internal service code argue for type declarations and PHPStan rules.
  • Migration risk assessment (PHP 7.x → 8.x, framework upgrades). Assumption-heavy code is where upgrade breakage tends to surface. Useful input when estimating upgrade effort or deciding whether to refactor-before-upgrade vs. upgrade-then-fix.
  • Onboarding and code-review standards. A concrete artifact to point at when setting expectations ("don't add assumptions you can't enforce") and when explaining why a PR wants a null check or a narrowed type.
  • Vendor/third-party confidence checks. Running it over code you're about to acquire, fork, or inherit gives a fast read on how defensive that code actually is.

When to Consider This Package

Consider it when:

  • You own a legacy or inherited PHP codebase with sparse type declarations and want a quick, low-effort signal on implicit contracts before committing to a hardening roadmap.
  • You already run PHPStan/Psalm and want an additional, complementary lens specifically about unchecked assumptions rather than type errors.
  • You need a one-off audit artifact for a planning discussion — a report you can hand to engineering to size work.
  • You want something cheap to trial: dev dependency, MIT license, actively released (last release March 2025), no runtime footprint.
  • You have engineering appetite to interpret results. This is informational output, not a gate.

Look elsewhere when:

  • The codebase is greenfield and fully typed — output will be sparse and the tool adds little over existing analysis.
  • You need CI enforcement, precise diagnostics, or autofixes. PHPStan/Psalm (with strict rules) and Rector are the mature choices; this tool doesn't replace them and shouldn't be a merge gate.
  • You want vendor support, SLAs, or a large community. 164 stars and an unspecified repository is a thin diligence surface — assume bus-factor risk and pin versions.
  • Your team has no spare tooling capacity. Each added analyzer costs onboarding, CI time, and triage; this one has the worst ratio of noise-to-signal among the mature options if you're already at PHPStan level 6+.
  • The stack isn't PHP, or you need analysis of runtime/dynamic behavior (feature flags, DI container graphs) rather than static source assumptions.

Diligence before adoption: confirm PHP version support against your matrix, confirm output format (human-readable vs. machine-parseable — matters if you want to trend the metric over time), and run it on a representative module to gauge false-positive volume.

How to Pitch It (Stakeholders)

For executives: A free, low-risk developer tool that measures how much our PHP code relies on unverified assumptions — the kind that turn into production incidents during upgrades and refactors. It costs a dev-dependency and an afternoon; in exchange we get a ranked list of where fragility concentrates, which lets us aim hardening budget at the modules that actually carry risk instead of spreading effort evenly. It is a diagnostic, not a silver bullet, and it does not replace our existing static analysis.

For engineering leads: One more lens on code quality, complementary to PHPStan/Psalm rather than competing with them. It surfaces unchecked nulls, array keys, return shapes, and undefined variables — the assumptions that static analysis at your current level may not yet encode. Run it over a target directory, read the report, and use it to decide where to tighten types, add guards, or raise the PHPStan baseline. Treat it as advisory: do not gate CI on it, pin the version, and expect to spend time triaging output before you trust any trend.

For the team doing the work: It's a read-only analyzer — no runtime impact, no code changes, no lock-in. If the signal is weak, we drop it; the cost of finding out is roughly one sprint task.

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