Coding interview in Germany: Expected tasks in 2026

Current trends in coding interviews: What can applicants expect in 2026?

IT application procedures are constantly changing - the coding interview also plays a central role in the selection process for technical positions. Companies no longer assess the skills of developers solely on the basis of their CV, but now require practical demonstrations in the interview. For candidates who want to gain a foothold in the software industry in Germany by 2026, this development brings with it new requirements and opportunities.

Classic tasks such as implementing algorithms or finding errors in code snippets continue to form the basis. However, the portfolio of questions has expanded considerably. It now includes, for example, system design tasks, tests for compliance with clean code principles and tasks in which AI components are to be integrated. Those who specifically adapt to this range will increase their own chances of success both in the selection process and during the subsequent integration into the new team.

Typical task formats in the coding interview

The structure of a coding interview varies depending on the company and position. In Germany in particular, five formats are set to dominate by 2026:

• Live coding: In a real-time situation-on site, via video conference or in an online editor-applicants solve tasks under time pressure while critical questions are asked. This format not only tests specialised knowledge, but also the reaction to stress and queries.
• Pair programming: The focus is on collaboration; candidates usually work on specific tasks on the code together with a team member from the company. In addition to the technical solution, the ability to work together is also assessed here.
• Take Home Tasks: Applicants are given a task to work on outside of the interview appointment. The solution is either submitted or discussed in the subsequent interview. Particular attention is paid to the comprehensibility of the chosen approach.
• System design: For experienced applicants, tasks for designing complex software architectures are often part of the interview. This involves explaining topics such as scaling or interfaces using practical scenarios as examples - a typical task would be the development of a scalable real-time API.
• Code review & debugging: The analysis and optimisation of faulty code segments requires not only technical precision, but also the ability to communicate your findings in an understandable way.

The aim is always to realistically assess an applicant's technical ability, learning ability and soft skills. Many employers, such as SAP or Deutsche Telekom, combine various elements to determine suitability for the work culture and future teamwork.

Practical example: A typical process in 2026

Scenario: Anna applies for a job as a software engineer at a leading German e-commerce company in 2026. In the very first technical interview, she works on a live coding task: "Write a function that identifies the five best-selling products in an array of orders."

In the online editor provided, Anna explains her approach at every step. For example, she explains how she uses hashmaps to count products and why she pays attention to consistent sorting. The interview partner specifically asks about borderline cases and the efficiency of her solution. After just under half an hour, Anna presents a working code and documents a structured, comprehensible approach.

In another round, the design of a scalable API takes centre stage. Here, Anna explains how her system remains performant and reliable even when the number of users increases rapidly in the short term. Solution approaches such as the use of caching mechanisms (e.g. with Redis) or load balancing strategies are not only designed, but also justified with advantages and potential challenges.

The focus of the discussion therefore shifts to architecture and design. Those who can offer practicable and up-to-date solutions are convincing far beyond pure programming.

Decisive: preparation and an up-to-date understanding of technology

Sound preparation remains the key factor - especially in interviews, which are becoming increasingly demanding and multi-faceted. The following recommendations have proven themselves in practice:

• Refresh theory in a targeted manner: Important basics on data structures such as lists, trees or graphs, sorting and search algorithms, complexity assessment and contemporary frameworks should be present.
• Training on online platforms: Offerings such as LeetCode or HackerRank provide ideal exercises and often reflect the actual tasks faced by many employers.
• Simulations through mock interviews: Practice interviews-for example with colleagues, acquaintances or in communities-help to realistically practise stressful situations and spontaneous queries. It is advisable to briefly explain the chosen approach after each solution.
• Expand industry-specific knowledge: For back-end positions, a focus on microservices, REST architectures or cloud technologies is recommended. In the front-end area, knowledge of React, testing or performance tuning can be crucial.

It is also worth having your own projects or open source contributions to hand. Questions about code design, documentation or decision-making are often part of the conversation. A possible example of your own project presentation:

"As part of an open source project, I developed middleware for Express that supports multilingual validation. I used the code review to emphasise comprehensive error handling, sensible unit tests and a clear module structure."

Soft skills and cultural fit: the hidden level of the coding interview

For many companies, it's not just technical knowledge that counts. Aspects such as team communication, understanding of values and adaptability are increasingly coming to the fore. Questions about test-driven development, team collaboration or experience with agile working methods will be firmly established by 2026 at the latest.

Typical questions that address soft skills are, for example:

• "How do you react when you get stuck on a task?"
• "How do you ensure that your code remains maintainable in the long term?"
• "Which tasks do you hand over - and when do you specifically ask for support?"

It makes sense to have specific experiences from your own professional practice ready as a short and concise answer. For example:

"In my previous role, our department was under considerable time pressure to finalise a release. When a persistent database problem arose, I asked the team for input at an early stage. The open dialogue ultimately led to a better solution than I would have found on my own."

Applicants who take a self-critical and solution-orientated approach to challenges already convey the qualities that stand for sustainable collaboration and a strong corporate culture in the interview team.

Technology trends for the 2026 coding interview

Technological progress is also reflected in the interview process. New methods and technologies are increasingly determining the process and content:

• Artificial intelligence as a companion: companies are turning to chatbots for pre-selection and automated assessments of coding tasks. Dynamic tasks customised to the applicant profile are increasingly becoming part of the selection process.
• Remote interviews as standard: Collaboration via tools such as CoderPad, Miro or collaborative whiteboards has long been established and also enables virtual teamwork at a high level in coding interviews.
• Accessibility and inclusion: The demands for inclusive, comprehensible tasks are increasing. Digital assessment tools offer accessibility features and variable levels of difficulty, for example.
• DevOps expertise and security know-how: So-called cloud roles require knowledge of continuous integration, monitoring and security of architectures. Topics that increasingly come up in job interviews, such as: "What security mechanisms do you implement in a Kubernetes cluster and how do you test their effectiveness?"

A comprehensive answer not only takes into account concepts such as certificate management and secrets management, but also makes it clear that applicants understand current industry standards and can apply them in practice.

What to do in case of difficult tasks or blackouts?

Even experienced applicants occasionally encounter an unexpected task or a seemingly hopeless scenario in a coding interview. In such situations, it helps to remain structured and proactively seek dialogue with the interviewer. Questions are expressly encouraged; your own thought process can and should be made transparent.

• "I am aware that my current approach is not yet optimal. Could I test an alternative algorithm?"
• "Are there any input restrictions (such as array length) that I should consider in order to develop my solution in a more targeted way?"
• "I would like to briefly explain my next debugging steps - this could help me get closer to the cause of the error."

The ability to openly address uncertainties and suggest solutions demonstrates a capacity for reflection and resilience. HR managers attach importance to recognising how unfamiliar challenges are dealt with and whether further development is sought - perfection is not the focus here.

Conclusion: Coding Interview 2026 - a challenge, but one that can be planned for

The technology interviews of tomorrow offer more depth and variety, but at the same time set high standards in terms of preparation, flexibility and topicality. Those who bring in specialist knowledge, modern working methods and communicative strength in equal measure will gain a clear advantage. With strategic preparation and an open mindset, the 2026 coding interview is not an insurmountable obstacle, but a serious opportunity to take the next step in your career.