Measuring what matters: How to evaluate the impact of AI on your SDLC

As AI becomes integral to software development, engineering leaders face a new challenge: understanding how AI-driven contributions translate into real productivity gains.

Join us for an open office hours session where we’ll explore how to assess the impact of AI pair programmers and SDLC-specific agents within your existing measurement frameworks—without reinventing the wheel.

You’ll learn how Tabnine’s human-in-the-loop agents integrate seamlessly into your workflows and amplify productivity across coding, review, documentation, and testing.

We’ll explain how leading teams are using frameworks like SPACE and DORA to track AI-driven outcomes—measuring quality, velocity, and satisfaction instead of just raw output.

Whether you’re piloting AI tools or scaling adoption, this session will help you identify meaningful signals, avoid misleading metrics, and align your AI investments to engineering and business goals. 

Bring your questions—we’ll walk through practical examples and share best practices from Tabnine customers building high-trust, high-impact AI enabled engineering programs.