March 11, 2026

Tech recruitment: how to assess candidates’ technical skills?

Hiring for tech roles has become one of today’s most pressing challenges for companies. The market is highly competitive, top talent is in high demand, and technical requirements are evolving rapidly. In this context, how can recruiters be sure that a developer, DevOps engineer or data scientist truly possesses the technical skills listed on their résumé? Technical assessment is now a key stage in the recruitment process both demanding and strategic. This article provides a deep dive into the methods, tools and best practices used by industry experts to effectively evaluate tech candidates.

A highly competitive tech market

The tech industry continues to grow rapidly in France and around the world. According to the latest figures from Numeum (formerly Syntec Numérique), the digital sector in France is expected to generate over 80,000 new jobs by 2025. But this momentum has created a significant imbalance between supply and demand. As a result, companies must go beyond resumes or GitHub profiles to uncover genuine tech talent.

Technical interviews: essential but not enough

The technical interview remains a central part of the hiring process. It helps evaluate a candidate’s reasoning, understanding of business challenges and technical reflexes.

Experienced recruiters recommend structuring these interviews around practical, job-related problems. For example:

  • solving an algorithmic problem live
  • reviewing and improving an existing piece of code
  • simulating a real-life production issue

However, technical interviews can backfire if they don’t reflect the real requirements of the role. A back-end PHP developer doesn’t necessarily need to solve complex problems in Python or C++, especially if it doesn’t align with the company’s tech stack.

Coding tests: practical and targeted evaluations

To complement interviews, many companies include remote coding tests in their recruitment process.

Platforms allow customized coding assessments. These tools offer several benefits:

  • standardized evaluations
  • tracking of completion time and code quality
  • support for various technologies (JavaScript, Python, Java, etc.)

These assessments may cover:

  • solving simple or complex algorithms
  • understanding database queries
  • improving code performance
  • creating a REST API or microservice

Some tools even simulate real-world environments that mirror the company’s working conditions.

Project reviews: assessing real-world skills

Another effective method is to review a candidate’s past project — usually hosted on GitHub or GitLab. This gives valuable insights into:

  • code structure and organization
  • technical and architectural decisions
  • documentation practices
  • use of automated testing

Rather than grading performance, the goal is to understand the candidate’s development habits, adherence to best practices, and ability to work within a team. This approach complements coding tests well.

Pair programming and live coding challenges

Some recruiters go further by organizing live pair programming sessions between the candidate and an in-house developer. The goal is not to trap the candidate, but to evaluate their ability to:

  • collaborate effectively
  • ask relevant technical questions
  • structure logical reasoning
  • accept and act on feedback in real time

It’s also an excellent way to test team fit and cultural compatibility.

AI and automated scoring: powerful but imperfect

Artificial intelligence now plays a role in tech hiring. Some platforms automatically analyze submitted code, assign scores, or identify programming patterns. While these tools can save time, they should be used with caution. A high score doesn’t always mean the candidate can solve problems specific to your business context.

Soft skills and mindset: technical intangibles that matter

Technical evaluation isn’t just about language proficiency. A good tech profile is someone who can learn quickly, document cleanly, communicate with non-technical teams, and anticipate bugs before they escalate.

Key soft skills to look for even subtly during interviews include:

  • technical curiosity
  • ability to explain complex concepts simply
  • stress management in high-pressure technical scenarios
  • attitude towards failure (e.g., dealing with unsuccessful tests or imperfect code)

The best candidates combine coding ability with growth potential.

Toward a hybrid assessment process

There’s no one-size-fits-all approach to evaluating technical skills. Experts recommend a hybrid strategy:

  • an exploratory interview to understand the candidate’s background
  • a targeted test that matches the core skills of the job
  • a project review or pair programming session to validate real-life capabilities
  • technical references from past team leads or CTOs

This multi-layered process offers a more complete view of the candidate’s potential and helps reduce bias from standardized tools.

Conclusion

Hiring a great tech profile is not just about checking boxes or reviewing scores. It’s about identifying someone who can solve real-world problems, deliver business value, and grow in an ever-evolving tech landscape.

For companies, the key is to build structured, fair, and human-centric evaluation processes tailored to each position. For candidates, being transparent about their real abilities, showing a strong willingness to learn, and committing to collaborative goals remain their strongest assets.

Hiring in tech is ultimately about recruiting minds that can adapt and evolve.