{"slug": "ai-review-can-help-with-laravel-upgrades-but-it-should-not-make-the-decisions", "title": "AI review can help with Laravel upgrades, but it should not make the decisions", "summary": "A developer argues that AI review tools are useful for Laravel upgrades but should not make the final decisions. The developer notes that AI excels at catching mechanical issues like renamed methods and outdated config shapes, but fails at understanding codebase-specific judgment calls, such as how queues, middleware, and auth are used. The developer recommends using AI to audit prepared evidence and narrow, concrete questions, while keeping architectural decisions in human hands.", "body_md": "Laravel upgrades are one of the easiest places to overestimate AI. It looks perfect for the job: large diffs, framework changes, repetitive refactors, and lots of surface area to scan. In practice, AI review is useful, but it is **not** where the important upgrade decisions get made.\n\nI still use AI during Laravel upgrades, especially as a second pass. It catches renamed methods, outdated config shapes, stale imports, and framework-level inconsistencies faster than most humans want to admit. But the more expensive bugs in a real upgrade are usually not syntax bugs. They are judgment bugs. They come from misunderstanding how *this* codebase uses queues, middleware, auth, caching, tenancy, validation, or exception handling.\n\nThat distinction changed how I run upgrades now: AI helps me audit the change set, but I do not let it pretend to own the migration. The architectural call still needs a human.\n\nThe best use of AI in a Laravel upgrade is narrow and mechanical. Give it a diff, the target Laravel version, and a concrete question. That tends to produce useful output quickly.\n\nIn my experience, AI is good at spotting four classes of issues:\n\nThat matters because upgrade work creates a lot of noise. If you are moving from one Laravel major version to another, the official upgrade guide is essential, but it does not tell you where your specific codebase is fragile. It tells you what changed in the framework. You still need to map that onto your app.\n\nThe official docs are still the anchor here:\n\nAI becomes valuable when you already know the target and want a fast consistency scan. It is much less valuable when you want it to infer business intent from a codebase it met thirty seconds ago.\n\nThe dangerous part of AI review is not that it is dumb. It is that it is **plausible**. It often produces the kind of answer that sounds senior enough to pass a quick read, while still being wrong in the places that matter.\n\nDuring upgrades, the misses usually fall into three buckets.\n\nLaravel gives you abstractions. Your application gives those abstractions meaning. A queue job in one project is a harmless background sync. In another, it is part of a payment pipeline with strict ordering guarantees. A middleware change can look cosmetic until it silently alters tenant resolution or auth context.\n\nAI can say, \"this code should use the newer registration style,\" and still miss that the current order exists to preserve behavior around impersonation, locale resolution, or request-scoped caching.\n\nThat is why upgrade bugs often show up in places that look boring in the diff. The framework changed something generic. Your app depended on the old behavior in a very non-generic way.\n\nThis is one of the biggest traps. AI usually assumes your code should look more like the framework docs. Sometimes that is correct. Sometimes your app intentionally deviates because the default is wrong for your domain.\n\nI have seen this show up in exception rendering, validation flow, broadcast auth, guard selection, and database transaction boundaries. The AI recommendation looks clean because it moves the app closer to \"standard Laravel.\" But standard Laravel is not automatically correct Laravel.\n\nUpgrade work is not just about correctness. It is about sequencing. Which change is safe now? Which one should be isolated? Which one needs a feature flag? Which one needs product signoff because it changes observable behavior?\n\nAI review is weak at that layer. It can tell you what is different. It usually cannot tell you which difference is worth waking up for at 2 AM.\n\nThe useful shift was simple: I stopped treating AI as a reviewer of the whole upgrade and started treating it as a reviewer of **prepared evidence**.\n\nThat means I now structure the upgrade before I ask AI to look at anything.\n\nBefore changing code, I write down the target version, the official upgrade notes I expect to touch, risky subsystems, and known app-specific deviations. This dramatically improves both human review and AI review, because the work has context.\n\nA stripped-down version looks like this:\n\n```\n## Laravel 12 Upgrade Notes\n\n### Expected framework touchpoints\n- bootstrap / app configuration\n- exception handling\n- middleware registration\n- queue + scheduler behavior\n- auth / guards\n- validation and request objects\n\n### App-specific risk areas\n- tenant resolution depends on middleware order\n- admin guard differs from default web guard\n- payment jobs rely on serialized DTO shape\n- API clients retry through custom exception mapping\n\n### Non-goals\n- no opportunistic refactors\n- no config cleanup unrelated to upgrade\n- no auth redesign during this PR\n```\n\nThis is not documentation theater. It forces scope control. It also makes bad AI suggestions easier to reject, because you already wrote down the constraints.\n\nIf an upgrade PR mixes signature updates, container changes, config rewrites, auth cleanup, and test rewrites, the review quality collapses. AI becomes noisier and humans become less reliable.\n\nSo I split the work.\n\nThat separation matters because AI is strongest in the first category and weakest in the third.\n\nA common upgrade trap is middleware or bootstrap registration. Laravel evolves how the application is configured, and AI will often recommend moving everything to the modern pattern immediately. Sometimes that is fine. Sometimes it breaks assumptions hidden in execution order.\n\nHere is the kind of thing that deserves human attention:\n\n``` php\n->withMiddleware(function ($middleware) {\n    $middleware->alias([\n        'tenant' => \\App\\Http\\Middleware\\ResolveTenant::class,\n        'admin' => \\App\\Http\\Middleware\\RequireAdmin::class,\n    ]);\n\n    $middleware->appendToGroup('web', [\n        \\App\\Http\\Middleware\\ResolveTenant::class,\n        \\App\\Http\\Middleware\\ApplyTenantLocale::class,\n    ]);\n});\n```\n\nAn AI review may say this is fine, or suggest a cleaner registration style. The real question is different: **what depends on that order?**\n\nIf `ResolveTenant`\n\nused to run earlier through a previous kernel arrangement, moving it without checking can break:\n\nNone of that is obvious from the framework diff alone. You need application context, and you need tests that prove the contract.\n\nThe right follow-up is not \"does this match the docs?\" It is \"what user-visible behavior did this ordering previously guarantee?\"\n\nIf you want AI review to be useful during upgrades, give it a codebase with strong regression tests. Otherwise you are asking a language model to do architecture and QA at the same time, which is where the fantasy starts.\n\nI now treat tests as the primary control system and AI as a secondary scanner.\n\nBefore or during the upgrade, I want tests around:\n\nFor example, if your app depends on a custom exception becoming a specific JSON error shape, lock that down explicitly:\n\n``` php\nit('maps billing exceptions to a stable API response', function () {\n    $this->mock(\\App\\Services\\BillingGateway::class)\n        ->shouldReceive('charge')\n        ->andThrow(new \\App\\Exceptions\\BillingDeclined('Card declined'));\n\n    $response = $this->postJson('/api/checkout', [\n        'plan' => 'pro',\n        'token' => 'tok_test',\n    ]);\n\n    $response\n        ->assertStatus(402)\n        ->assertJson([\n            'message' => 'Payment could not be processed.',\n            'code' => 'billing_declined',\n        ]);\n});\n```\n\nThat test does more for upgrade safety than five pages of AI commentary. It preserves the contract that matters.\n\nOnce those tests exist, AI becomes more useful because it can help identify other places where similar assumptions may have drifted.\n\nThis is where the workflow starts to work well. Instead of asking, \"review my Laravel upgrade,\" ask narrower questions:\n\nThat framing keeps AI in the lane where it adds leverage.\n\nThe final review on an upgrade should not be a generic \"LGTM\" pass. It should be a risk review by someone who understands both Laravel and the business behavior behind the app.\n\nWhat I care about in that last pass is not whether the code looks modern. I care about whether the upgrade preserved the contracts we actually rely on.\n\nA useful human review usually asks questions like:\n\nThat last point matters more than teams admit. Upgrade PRs get dangerous when they become an excuse to tidy architecture. Cleanups feel efficient in the moment, but they destroy your ability to isolate regressions.\n\nMy rule now is blunt: **if a change is not required for the upgrade, it needs a stronger reason than \"we were already in the file.\"**\n\nAI review is worth using in Laravel upgrades, but only after you define the problem properly. It is a strong second pass for mechanical drift, incomplete migrations, and consistency checks. It is a weak substitute for architectural judgment, regression strategy, and knowledge of why your app is weird in the first place.\n\nSo the process I trust looks like this:\n\nIf you only remember one thing, make it this: **AI can help you finish a Laravel upgrade faster, but it cannot tell you what your application is allowed to break.** That call is still yours, and pretending otherwise is how \"successful\" upgrades ship regressions.\n\nRead the full post on QCode: [https://qcode.in/ai-review-for-laravel-upgrades-is-useful-but-not-enough/](https://qcode.in/ai-review-for-laravel-upgrades-is-useful-but-not-enough/)", "url": "https://wpnews.pro/news/ai-review-can-help-with-laravel-upgrades-but-it-should-not-make-the-decisions", "canonical_source": "https://dev.to/saqueib/ai-review-can-help-with-laravel-upgrades-but-it-should-not-make-the-decisions-4lcf", "published_at": "2026-08-12 04:53:13+00:00", "updated_at": "2026-08-12 05:16:24.581182+00:00", "lang": "en", "topics": ["developer-tools", "artificial-intelligence"], "entities": ["Laravel"], "alternates": {"html": "https://wpnews.pro/news/ai-review-can-help-with-laravel-upgrades-but-it-should-not-make-the-decisions", "markdown": "https://wpnews.pro/news/ai-review-can-help-with-laravel-upgrades-but-it-should-not-make-the-decisions.md", "text": "https://wpnews.pro/news/ai-review-can-help-with-laravel-upgrades-but-it-should-not-make-the-decisions.txt", "jsonld": "https://wpnews.pro/news/ai-review-can-help-with-laravel-upgrades-but-it-should-not-make-the-decisions.jsonld"}}