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tech 19 August 2026

AI Usage Patterns in Software Teams

AI adoption is transforming software development teams. Discover how roles, planning, and output are evolving with these innovative tools.

Article inspired by the original source
AI usage patterns in software teams ↗ linear.app

AI is Revolutionizing Software Development Teams

In 2026, the integration of artificial intelligence (AI) into software development processes is no longer a novelty. Development teams are rapidly adopting these technologies, fundamentally changing how they create, plan, and deliver products. According to a study conducted by Linear, there has been a significant increase in AI adoption across all functions within software development teams. Let's explore the AI usage patterns and their impacts on teams.

Adoption by Function

Between January and June 2026, the use of AI features more than doubled in every function. Product teams saw the fastest growth, from 12% to 34%. Even functions far from the codebase, like go-to-market, saw adoption rise from 5% to 18%. This clearly shows that AI is no longer the preserve of engineers but extends to all functions, enhancing overall productivity.

Adoption by the Executive Team

Interestingly, AI adoption rates among executive teams match or exceed those of their teams. For example, CEOs of large companies (more than 201 employees) saw their AI usage jump from 9% to 36% in just six months. This indicates an increased awareness of AI benefits at the highest decision-making levels.

Application of AI in Planning and Organization

AI is not just used for coding or testing; it plays a crucial role in planning and organization. AI tools help prioritize tasks, estimate timelines, and organize resources more efficiently. This allows teams to focus on higher-value tasks and reduce time spent on administrative tasks.

Impact on Production

With AI, production has also been transformed. The total number of pull requests (PRs) has increased, and more interestingly, PRs from non-engineers have also risen, highlighting greater cross-functional collaboration. AI-assisted coding agents allow team members to focus on solving complex problems, leaving repetitive tasks to machines.

Conclusion

The integration of AI into software development teams has not only increased productivity but has also changed the dynamics of cross-functional collaboration. These tools enable better planning, organization, and more efficient product delivery. If you are looking to integrate AI into your team, let's discuss your project in 15 minutes.

AI adoption software development productivity cross-functional collaboration executive decision-making
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