Trends in AI development for 2026
What awaits companies in the area of AI agents, automation and infrastructure.
2026 brings a shift from "AI as a feature" to "AI as a collaborator". Agentic systems that can independently carry out a chain of steps are ceasing to be an experiment and becoming part of production workflows.
The first trend is AI agents orchestrated through clearly defined steps — exactly the approach on which we build the architecture of our solutions (steps within UseCases). Reliability comes from structure, not from chance.
The second trend is the automation of routine development tasks: generating code, tests and documentation. It speeds up delivery but raises the importance of human quality control.
The third trend is infrastructure tailored for AI workloads — efficient model deployment, cost control and data security. This is where years of experience with Docker and Kubernetes pay off.
The common denominator of 2026: the companies that win are the ones that do not place AI at random, but into a thoughtful process built on context.
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