Meta Tech Podcast

Multimodal AI – models capable of processing multiple different types of inputs like speech, text, and images – have been transforming user experiences in the wearables space. With our Ray-Ban Meta glasses, multimodal AI helps the glasses see what the wearer is seeing. This means anyone wearing Ray-Ban Meta glasses can ask them questions about [...] Read More... The post Building multimodal AI for Ray-Ban Meta glasses appeared first on Engineering at Meta.

Meta has been working to shift its Android codebase from Java to Kotlin, a newer language for Android development that offers some key advantages over Java. We’ve even open sourced various examples and utilities we used to in our migration to manipulate Kotlin code. So how do you translate roughly tens of millions of lines of Java [...] Read More... The post How Meta is translating its Java codebase to Kotlin appeared first on Engineering at Meta.

Introducing a new Android UI framework like Jetpack Compose into an existing app is more complicated than importing some AARS and coding away. What if your app has specific performance goals to meet? What about existing design components, integrations with navigation, and logging frameworks? On this episode of the Meta Tech Podcast Pascal Hartig is [...] Read More... The post Bringing Jetpack Compose to Instagram for Android appeared first on Engineering at Meta.

Do types actually make developers more productive? Or is it just more typing on the keyboard? To answer that question we’re revisiting Diff Authoring Time (DAT) – how Meta measures how long it takes to submit changes to a codebase. DAT is just one of the ways e measure developer productivity and this latest episode [...] Read More... The post Measuring productivity impact with Diff Authoring Time appeared first on Engineering at Meta.