Peter Werry is a founding engineer and head of security at Unblocked, a developer platform that searches code, documentation, and discussions to give developers accurate answers about their application. Before Unblocked, Peter was a key engineer behind buddybuild, a mobile-focused continuous integration service that Apple acquired in 2018 and launched as Xcode Cloud. He has a long track record of leading engineering efforts across mobile, backend, and security across BlackBerry, Accenture, Apple.
For all the claims about AI increasing developer productivity, why aren’t developers seeing more of an impact?
What we’ve heard from thousands of developers is that writing code isn’t the hard part. The real challenge is Step #1—figuring out how the codebase works so they know what code to write.
Codebases are built on years of decisions, discussions, and documents scattered across tools like GitHub, Confluence, Slack, Notion, Jira, and more. Whether a developer is onboarding or working with unfamiliar code, they waste time searching for answers—only to end up asking a co-worker anyway.
If we want AI to actually save us time, we need to apply it where developers get stuck the most: finding the right context. Tools like Unblocked give developers the answers they need directly by augmenting your code with the relevant knowledge. Come see how teams like Drata save 1–2 hours per developer, per day by eliminating these unnecessary interruptions
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