Augment Code puts your team’s collective knowledge — codebase, documentation, and dependencies — at your fingertips via chat, code completions, and suggested edits. 

Get up to speed, stay in the flow and get more done. Lightning fast and highly secure, Augment works in your favorite IDEs and Slack.

Augment Code

Engineering leaders aren’t struggling to find AI tools anymore. Instead, they’re struggling to prove those tools actually move the needle.

In this executive fireside chat, we’ll sit down with **Stephen Barrett, CTO and co-founder of Milestone**, and **Vinay Perneti, VP of Engineering** **from** **Augment Code** to explore how enterprises are combining AI-native development workflows with rigorous measurement to drive real productivity gains for their engineering teams.

Augment Code helps developers ship production-grade code faster on real, complex codebases through context-aware AI agents that can plan work, make code changes, and run workflows across repositories, all embedded in the tools engineers already use.

Milestone closes the loop by giving engineering leaders end-to-end visibility into generative AI adoption, velocity, and code quality, so they can see exactly where AI is helping, where it isn’t, and what that means for ROI at the team and portfolio level.

Together, we create a “better together” stack: AI that accelerates developers, paired with metrics that turn those gains into an executive story.

In this conversation, we’ll cover:

*   **From AI-curious to AI-native:** How leading orgs are evolving their engineering culture and operating models so AI becomes part of how teams work
*   **Where AI actually saves time in the SDLC:** Real examples of using Augment to reduce debugging toil, accelerate feature work, and onboard engineers faster on large, legacy codebases
*   **Connect AI to ROI:** How Milestone correlates gen AI usage with delivery speed, code stability, and defect rates so leaders can prove impact to the business and decide where to double down or pull back.
*   **Governance, quality, and trust at scale:** Patterns for rolling out AI coding tools across multiple teams and repos while maintaining security, code health, and developer ownership.

If you’re a **CTO, VP of Engineering, or senior engineering leader** tasked with “doing more with AI,” and you need credible productivity gains for your developers, this session will give you a blueprint for making your AI investments pay off.
