Coinspaid Dev’s Alexey Tulia on Engineering Leadership When AI Reaches Production
Alexey Tulia, Executive Leader at Coinspaid Dev, discussed how AI is reshaping engineering ownership and technology investment as agents gain access to production systems. This topic was addressed during the AI Impact in Engineering panel at Tech Race Summit 2026 in Warsaw.
Key Takeaways:
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Transition to AI Systems: Companies are moving beyond using AI for drafting and analysis, towards connecting agents directly to live systems, raising questions about permissions and responsibility.
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Debate on AI Capabilities: A wider debate exists over whether AI capabilities are advancing faster than safety practices, as highlighted by Anthropic CEO Dario Amodei's call for slowing capability development.
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Defining Limits and Accountability: Tulia focused on the organizational limits to set once AI agents gain access to production systems, emphasizing the importance of accountability alongside increased autonomy.
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Prioritizing for CTOs: He encouraged CTOs to tie AI spending to specific organizational needs like strong APIs, reliable data, automated testing, and flexible architecture.
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Experimentation and Capacity: Engineering teams also require capacity for experimentation and a roadmap that allows for the introduction of new technology safely without exhausting resources.
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Future Outlook (2029): Tulia predicts smaller engineering teams managing larger areas of responsibility, with AI generating most production code, thus increasing the importance of verification and technical judgment. The CTO role will remain crucial, demanding a balance between deep technical expertise and business understanding.