Technical Skills to Test in a Programmer: PHP, Python and Node.js

stevejonas

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Mar 6, 2025
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A resume can list ten languages and still hide the fact that the person is comfortable in only one. Interviews have the same problem, because confident talk is easy and real skill is harder to see. The only reliable way to know what a programmer can do is to test it.

This guide shows you what to test, how to test it and what good answers look like for PHP, Python and Node.js. It is written for founders and product owners who may not write code themselves.

Why Skill Testing Matters Before You Hire

Skill checks are the stage where you hire dedicated programmers with confidence instead of guesswork. A programmer who will work on your product every day needs to be strong in the basics, honest about their limits and able to learn what they do not know yet. A good test shows all three.

You do not need to be technical to run a fair test. You need clear tasks, a simple scoring method and, if possible, one trusted technical person to review the results. The sections below explain how.

Test the Fundamentals First

Before language-specific questions, check the skills that apply to every programmer.
  • Logic and problem solving. Give a small problem and ask how they would solve it step by step.
  • Reading code. Show a short piece of code and ask what it does and what could go wrong.
  • Debugging. Describe a bug and ask how they would find the cause.
  • Data handling. Ask how they would store, fetch and protect information in a simple feature.
  • Clean writing. Review whether their code uses clear names, sensible structure and short, focused parts.
A programmer with strong fundamentals can pick up a new language quickly. A programmer with weak fundamentals will struggle even in their main one.

What to Test in PHP

PHP powers a large share of websites and web applications, so many products depend on it. When you test a PHP developer, look beyond whether they can write a working page and check whether they write safe, organized code.

  • Handling user input. Do they check and clean what users submit before using it?
  • Database use. Can they write and explain queries, and do they avoid unsafe patterns?
  • Structure. Do they separate logic from display, or mix everything in one file?
  • Framework habits. If they use a framework, can they explain why it helps and what it handles for them?
  • Error handling. What happens in their code when something fails?
A good practical task is to ask the candidate to build a small form that saves data and shows it back. Watch for how they handle bad input, not only whether the happy path works.

What to Test in Python

Python is valued for its clear style and wide range of uses, from web back ends to data work and automation. Strong Python programmers write code that is easy to read and easy to reuse.

  • Core understanding. Can they explain lists, dictionaries and how they choose between them?
  • Readable style. Do they follow common conventions and keep functions small?
  • Libraries and packages. Can they explain how they pick a library and check that it is safe to use?
  • Error and exception handling. Do they expect problems and handle them calmly?
  • Testing habits. Do they write checks for their own code?
A useful task is to give a messy piece of Python code and ask the candidate to clean it up and explain their choices. The explanation often shows more than the result.

What to Test in Node.js

Node.js is often chosen for fast, real-time and connected features. It works differently from many older tools, so a good test checks whether the programmer truly understands how it behaves.

  • Asynchronous thinking. Can they explain how tasks that wait, such as fetching data, are handled without freezing the app?
  • Handling errors in async code. This is a common weak spot. Ask what happens when a waiting task fails.
  • API building. Can they describe how they would design simple, predictable endpoints?
  • Package choices. Do they check the quality and upkeep of what they install?
  • Performance awareness. Do they know what can slow an app down and how to notice it?
A good task is a small service that fetches data from two sources and combines the results. Pay attention to how the candidate handles delays and failures.

Use a Short Practical Task

Questions alone are not enough. A short task shows how a person actually works.
  • Keep it small, between one and three hours.
  • Use a real situation, not a puzzle with no connection to your product.
  • Share clear instructions and a deadline.
  • Ask for a short written note on the choices they made.
  • Allow questions, since good programmers ask them.
Review the result for correctness, clarity and care. A simple solution that is clean and well explained is better than a clever one nobody can read.

Score Candidates Fairly

A simple score keeps your decision balanced. Rate each candidate from one to five on:
  • Fundamentals and problem solving
  • Code clarity and structure
  • Language-specific understanding
  • Error handling and safety
  • Testing habits
  • Quality of explanation

Add the scores and talk through any large gaps with a technical reviewer. The score supports your judgment, and it protects you from choosing the best talker.

Red Flags in Technical Checks
  • Memorized answers with no reasoning. They cannot explain why, only what.
  • No attention to bad input or failures. Their code works only when everything goes right.
  • Refusing a practical task. Confident programmers are usually happy to show their work.
  • Copied solutions. Identical code found elsewhere, or inability to explain their own code.
  • No questions at all. A programmer who never asks about requirements may make wrong assumptions.
Common Testing Mistakes to Avoid
  • Testing only trivia. Facts are easy to memorize, while real skill is not.
  • Setting a task that is too long. Good candidates may refuse to spend a full weekend.
  • Ignoring explanation. How a person describes their work matters as much as the work.
  • Skipping the fundamentals. Language knowledge sits on top of them.
  • Using different tests for each candidate. This makes fair comparison impossible.
Quick Testing Checklist
  • Fundamentals are tested first
  • Language-specific points are chosen for the role
  • A short practical task is prepared
  • Instructions and deadline are clear
  • Candidates explain their choices in writing or on a call
  • A technical reviewer is available
  • All candidates are scored on the same points
  • Red flags are noted
Conclusion

Testing turns a hopeful guess into an informed choice. Start with fundamentals, check the habits that matter in each language, use a small practical task and score everyone the same way. A fair, simple process shows you who can really do the work, and it saves far more time than it takes.

If you want help preparing a skill check for your own project, EmizenTech can walk through a simple testing approach in a short discussion.