The adoption of AI coding tools is increasing rapidly in engineering teams – but leaders are struggling to scale them responsibly. According to Stack Overflow, trust in AI accuracy has fallen to just 29%*.

In this Blueprint++ webinar, engineering leader Sendil Nellaiyapen shares practical lessons from building and operating large-scale systems for one of the world’s leading rideshare apps.

Drawing on his experience with complex migrations and high-stakes payment infrastructure, he will discuss how organizations can adopt agentic AI while maintaining quality, security, and developer accountability.

He will also explore how engineering leaders can enable experimentation without creating tool sprawl or shadow AI – and how teams can measure real developer productivity in an AI-assisted world.

Discussion points include:

• Identifying which types of coding work can be delegated to AI agents – and where human oversight remains essential.
• Using chained LLMs and SLMs to improve reliability and accuracy.
• Preventing tool sprawl and shadow AI among engineering teams.
• Rethinking how developer productivity is measured in an AI-assisted environment.