Will developers stop writing code? Marcin Laksander on the future of AI-native software delivery

AI is changing how software is developed, tested, and delivered. But what does this mean for engineering teams, and how can businesses benefit from the shift? In the latest Sii Talks episode, Marcin Laksander, AI Transformation Lead at Sii, explains how AI-native delivery is reshaping software engineering and how Sii is preparing its teams and clients for this new way of working.

From AI assistants to AI-native delivery

AI tools have become an important part of software development, helping engineers write code, generate tests, and prepare documentation. But their potential goes far beyond supporting individual tasks.

In the latest Sii Talks podcast, Marcin Laksander introduces three levels of AI maturity: AI-assisted, AI-enabled, and AI-native.

The most advanced approach involves AI agents supporting the entire software development lifecycle, from requirements analysis and architecture to development, testing, deployment, and maintenance.

As Marcin explains, this doesn’t mean handing over complete responsibility to AI. Engineers remain responsible for defining tasks, providing context, supervising agents, and verifying the results.

How Sii is developing AI-native delivery

Sii is developing a structured approach to AI-native delivery, supported by dedicated methodology, an AI platform, and training programs for engineering teams.

The AI-native Foundation and AI-native Professional programs help engineers develop the skills needed to work effectively with AI agents, from advanced prompting and automated workflows to role-specific technical applications.

Marcin also highlights an important challenge: knowing when to trust AI-generated results. During one of Sii’s internal hackathons, participants were asked to test an application containing deliberately hidden defects. The best results came from those who challenged AI’s outputs and carefully verified its work.

It’s a useful reminder that technical expertise and critical thinking remain essential, even as AI becomes more capable.

What does this mean for businesses?

AI-native delivery creates new opportunities to improve the efficiency of software engineering teams. By automating repetitive activities and supporting engineers throughout the development lifecycle, AI can help shorten delivery times, increase team productivity, and make better use of existing resources.

However, Marcin emphasizes that productivity should be assessed at the team and project level, rather than simply by measuring how quickly individual developers produce code.

Sii combines experienced engineering teams, a structured delivery methodology, and AI capabilities to help clients introduce these changes into their IT projects. Sii’s approach covers both strengthening client teams with AI-native engineering expertise and taking responsibility for delivering agreed project outcomes.

Discover more in Sii Talks

What skills will software engineers need in the AI-native era? How can businesses measure AI’s impact on productivity? And how can organizations turn technological potential into tangible results?

Marcin Laksander explores these questions in the latest episode of Sii Talks.