Interview Questions to Ask While Hiring Laravel Developers
Laravel's talent pool looks deep until you're actually hiring from it. Developers who can scaffold a CRUD app are everywhere.
But finding someone who can architect a scalable backend, make sound technical decisions independently, and not leave you with a codebase only they understand is the actual challenge. These questions go beyond surface-level Laravel knowledge into how a developer actually thinks and builds. Use them to find the one worth hiring.
Questions That Separate Senior Laravel Engineers From the Rest
Most candidates can answer what Laravel does. These questions assess how they actually build and whether they're ready to own your backend from day one.
What are the new features in Laravel 12?
Ask this early. It's a quick filter.
Laravel 12 shipped in February 2025 with new starter kits, PHP 8.2 as the minimum, and a leaner app structure carried forward from Laravel 11. A developer actively building in Laravel knows this. If they're describing Laravel 10 features or calling Laravel 11 "the latest," they haven't kept up with the framework in over a year. That's fine for a maintenance role. For a greenfield product build, it's a problem. Outdated patterns will end up in your codebase before you know it.
How do you secure a Laravel API, and when would you use Sanctum vs. Passport?
This tells you two things at once. Whether they understand API security, and whether they make deliberate technical decisions or just copy patterns from their last job.
Sanctum and Passport are both Laravel authentication tools, but they solve different problems. Sanctum handles most startup use cases: single-page apps, mobile clients, and simple token-based APIs.
Passport is for full OAuth2 when you're building a public API that third-party developers will connect to. A senior engineer picks Sanctum by default and upgrades to Passport only when there's a specific reason. If someone says they "always use Passport," ask why. Nine times out of ten, they don't have a reason; it's just what their last team used.
Beyond the Sanctum/Passport question, they should mention rate limiting, HTTPS enforcement, and input validation on every endpoint. If they talk only about authentication and skip validation, they're thinking about who gets in, not what happens after they're in.
How do you minimize database query overhead in Laravel?
Slow databases are one of the most common and avoidable reasons early-stage products slow down. Listen for whether they bring up N+1 queries without prompting.
An N+1 query problem is when your app fires one database query to fetch a list of records, then fires a separate query for each record to get related data. On a small dataset, it's invisible. On a table with 50,000 rows, it can turn a 300ms page load into an 8-second one. Senior developers catch this in code review, but a beginner discovers it when a user complains.
Also, listen for details like eager loading, using Redis to cache frequently used data, indexing the right columns, and using EXPLAIN to check for slow queries instead of guessing. Anyone can suggest adding indexes. See if they've actually reviewed a query plan and changed their approach as a result.
What does your deployment process look like?
The way someone handles deployment shows how much they care about reliability.
Some basics are essential, such as using Git for workflow, having a staging environment that matches production, running migrations before new code goes live, clearing and rebuilding caches, and restarting queue workers. Tools like Laravel Forge or Envoyer help with zero-downtime deployments.
What you're listening for is whether they treat production as something to be careful with or something to figure out as they go. A developer who deploys by SSHing into the server and running commands by hand isn't being scrappy. They're one typo away from taking your product down. And if they don't have a staging environment, any bug they introduce goes straight to your users.
How would you integrate an external AI or LLM API into a Laravel backend?
For an AI-native product, this is the question that matters most. The gap between a developer who can follow an OpenAI quickstart guide and one who can build it for production is enormous. It shows up in your API costs, your uptime, and your user experience simultaneously.
The right approach wraps the API client in a dedicated service class, queues the actual call in a background job, and handles failures gracefully. API keys stay in environment variables, never in code. Responses get logged for debugging without storing anything sensitive.
If someone says they'd call the API directly from a controller and return the response, that's a signal worth probing. It works fine in a tutorial. It falls apart the moment an LLM call takes four seconds, times out mid-request, or hits a rate limit during a traffic spike, and your user is left with a broken experience and no fallback.
How does Laravel's queue system work, and how have you used it in a real project?
Don't just ask how queues work. Ask how they've used them.
Background queues are how you keep your app responsive when it needs to do slow things, such as process uploads, send emails, call external APIs, and generate reports. The technical details matter: Redis for high-volume workloads, SQS for AWS infrastructure, Horizon for monitoring queue health in real time.
The detail that separates someone who's actually debugged a production queue from someone who's read the docs is idempotency: designing jobs so that if they run twice, nothing breaks. Retry logic is standard. But if a payment confirmation job fires twice and charges a user twice, that's not a queue problem; that's a design problem. Developers who've shipped queued systems under real load think about this automatically.
How do you handle errors across a Laravel backend and a React frontend?
Error handling is one of those things that's invisible when it works and immediately obvious when it doesn't. A raw stack trace showing up in a user's browser is a trust problem, not just a technical one.
In Laravel, error handling should be managed in one place where exceptions are caught, turned into consistent JSON responses, and logged. Tools like Sentry or Laravel Telescope help you see what is failing in production. In React, error boundaries catch UI problems before the screen goes blank, and API errors should be handled smoothly, such as with a toast message or a fallback state, so users know what happened without seeing technical details.
The key is whether they describe a real system or just a habit. Saying "We log to a file and check it when something breaks" is reactive. By then, a user has already had a bad experience. You want someone who sets up alerts and knows about problems before users report them.
How do you approach testing in Laravel?
Testing is the single clearest dividing line between developers who are confident in their code and developers who are hoping it works.
Ask this question and pay attention to whether they describe testing as part of how they build or as something they do at the end. The answer tells you everything. Developers who write tests as they go, unit tests for business logic, feature tests for API endpoints, and factories to set up clean test data are developers whose code you can refactor, extend, and hand to another engineer without fear. Developers who test "when there's time" are developers whose code becomes untouchable six months in.
The specific tools matter less than the habit. PHPUnit and Pest PHP are both standard. What you want is someone who can tell you the last bug their tests caught before it hit production.
What factors decide whether you use Eloquent ORM or raw SQL in Laravel?
Eloquent is Laravel's built-in way of interacting with the database using PHP objects. Cleaner syntax, faster to write, great for most use cases. Raw SQL gives you more control and more performance when you need it.
The real test is whether the developer has a reason for their choice. Eloquent is the right default for standard reads, writes, and model relationships. Raw SQL or the Query Builder earns its place on complex joins, aggregations, and queries where you've actually measured that Eloquent is adding overhead.
The word to listen for is "measured." Developers who say "I use raw SQL for performance" but can't tell you how they confirmed there was a performance problem are optimizing on instinct. That's not the same thing. The best candidates have used EXPLAIN on a slow query, seen what the database is actually doing, and made a decision based on that.
How do you approach testing across both the Laravel backend and React frontend?
Unit tests catch individual bugs. What catches the bugs that only appear when your backend and frontend talk to each other is a different layer entirely.
The key connection is the API contract, the exact data format Laravel sends and React expects. If this changes without both sides knowing, you get silent failures, like the API returning a 200, but the frontend showing nothing and no error. Backend feature tests that check the full request and response can catch this in Laravel. On the React side, tools like Cypress or Playwright let you test real user flows from start to finish, so you know everything works together, not just each part alone.
A developer who only tests one side is only halfway covered. For a startup with a real product, a broken user flow that passes all unit tests is the hardest and most costly bug to find.
