Meta Tech Podcast

At Meta, even seemingly simple engineering tasks—like updating an API—become monumental undertakings when you're dealing with millions of lines of code and thousands of engineers, especially if the changes are security-related. In today's episode, Pascal talks to Alex and Tanu about the challenges and learnings from the journey of making Meta's mobile frameworks more secure at a scale few companies ever experience. Tune in to this episode and join us as we explore the compelling crossroads of security, automation, and AI within mobile development.
Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host Pascal (https://mastodon.social/@passy, https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.
Links
How AI Is Transforming the Adoption of Secure-by-Default Mobile Frameworks - https://engineering.fb.com/2025/12/15/android/how-ai-transforming-secure-by-default-mobile-frameworks-adoption/ 

RCCLX: Innovating GPU Communications on AMD Platforms - https://engineering.fb.com/2026/02/24/data-center-engineering/rrcclx-innovating-gpu-communications-amd-platforms-meta/ 

The Death of Traditional Testing: Agentic Development Broke a 50-Year-Old Field, JiTTesting Can Revive It - https://engineering.fb.com/2026/02/11/developer-tools/the-death-of-traditional-testing-agentic-development-jit-testing-revival/ 

Timestamps
Intro & News 0:06

Meet the Product Security Team 2:07

Understanding the Intent System 4:13

Security Challenges in Android's Intent System 6:44

Proposed Solutions for Intent Security 9:39

Meta's Unique Challenges at Scale 12:34

Implementing a Secure Link Launcher Framework 15:32

Leveraging AI for Contextual Understanding 17:55

Navigating AI-Driven Code Modifications 20:47

Developer Experience with AI Code Mods 21:49

Validation Challenges in AI Code Generation 25:37

Evolution of AI in Code Modifications 29:29

Identifying AI's Strengths in Security 36:20

Future Directions in AI and Framework Development 42:58

Outro 46:58

It's not just Not Invented Here Syndrome. Some technologies like CSS simply don't scale if you're building some of the largest websites on the planet with thousands of engineers committing to the same code base every day. StyleX is Meta's open-source solution for CSS at scale and allows atomic styling of components while deduplicating definitions for bundle size and exposing a delightfully simple API for developers. 
Tune in to learn from Melissa, one of the StyleX maintainers how Open Source has acted as a force multiplier for the project, how interacting with other large companies adopting StyleX has been, and much more!
Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host Pascal (https://mastodon.social/@passy, https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.
Links
How AI Is Transforming the Adoption of Secure-by-Default Mobile Frameworks: https://engineering.fb.com/2025/12/15/android/how-ai-transforming-secure-by-default-mobile-frameworks-adoption/ 

StyleX: A Styling Library for CSS at Scale: 
https://engineering.fb.com/2025/11/11/web/stylex-a-styling-library-for-css-at-scale/ 
StyleX: https://stylexjs.com

MTP 67: Measuring Developer Productivity with Diff Authoring Time: https://pca.st/pt4p4tv5 

Timestamps
Intro and news 0:06

Introduction Melissa 1:47

Why did we build our own styling system? 4:07

StyleX API 5:36

cx vs StyleX 7:37

Component styling and priorities 10:38

How StyleX evolved in the past seven years 15:20

Community influence 19:33

Open Source 24:07

Challenges of OSS 27:02

Managed breaking changes in OSS 29:48

Measuring success for StyleX 32:04

Packaging challenges 34:34

StyleX competition 38:42

Creating the StyleX roadmap 40:24

Outro 43:15

You've likely heard of Meta Ray-Ban Display by now — but what's it actually like to work on it? In this episode, Pascal talks to Kenan and Emanuel about the exciting features of Meta's First-Gen Display Glasses and Neural Wristband, the engineering and product challenges they encountered during development, and their vision for future generations of these devices. 
Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host Pascal (https://mastodon.social/@passy, https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.
Links
Pyrefly Beta: https://pyrefly.org/blog/pyrefly-beta/

Pyrefly and Pydantic: https://pyrefly.org/blog/pyrefly-pydantic/ 

Meta Ray-Ban Display: https://www.meta.com/gb/ai-glasses/meta-ray-ban-display/ 

Timestamps
Intro 0:06

Introduction Kenan 1:35

Introduction Emanuel 5:03

Roles and responsibilities 8:07

What is Meta Ray-Ban Display? 11:13

Memorable challenges: Clasps 15:52

Memorable challenges: Display 19:24

Celebrating incremental wins 23:51

The feedback cycle in hardware engineering 26:29

Open culture and dogfooding 31:39

One-way doors 32:44

Striving for quality and polish in fast-moving environments 36:25

UI principles for AI glasses 40:15

Future Plans 44:04

Outro 46:53

Blooper 47:49

In this episode, Pascal talks to Dharmesh J. (DJ) and Lisa about the vision for the open, scalable future of networking hardware for AI and to break down Meta's big announcements from the 2025 Open Compute Project (OCP) Summit. We dive into the OCP ecosystem, explore how AI is used to enhance our carbon modeling, and share our progress toward achieving Net Zero emissions across all scopes by 2030.
Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host Pascal (https://mastodon.social/@passy, https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.
Links
OCP: https://www.opencompute.org/

OCP Summit 2025: https://engineering.fb.com/2025/10/13/data-infrastructure/ocp-summit-2025-the-open-future-of-networking-hardware-for-ai/ 

How Meta Is Leveraging AI To Improve the Quality of Scope 3 Emission Estimates for IT Hardware: https://engineering.fb.com/2025/10/14/data-center-engineering/how-meta-is-leveraging-ai-to-improve-the-quality-of-scope-3-emission-estimates-for-it-hardware/ 

Timestamps
Intro 0:06

Introduction Lisa 1:49

Introduction DJ 3:16

What is OCP? 4:04

OCP's scale 5:24

Open vs closed hardware ecosystems 9:26

Examples of OCP projects 11:33

Sustainability in OCP 14:08

How did you get into OCP? 15:59

Marrying infrastructure growth with sustainability 19:05

Emissions scopes and tracking 25:07

Measuring scope 3 26:06

What components embed the most carbon? 30:47

DFE vs DFS 32:34

Hardware reuse 33:39

Outro 37:48

How do you keep Android build times under control when your codebase spans tens of thousands of modules and millions of lines of Kotlin? In this episode, Pascal talks with Iveta, Navid, and Joshua from Meta's Android Developer Experience team about the technical strategies that help Meta's engineers stay productive at scale.
We discuss approaches like source-only ABIs and incremental compilation – clever solutions that have helped us tackle the challenges of building fast in a monorepo, as well as what you can do to keep your builds fast with Buck2.
Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host Pascal (https://mastodon.social/@passy, https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.
Timestamps
Intro 0:06

Introducing Iveta 2:09

Introducing Joshua 3:29

Introducing Navid 4:00

Android DevX Team 4:36

The challenges of build speed 6:28

Buck2 and Android 7:34

How to add new language support to Buck2 9:01

What's new in Open Source? 11:02

Optimising Kotlin builds 12:55

Source-only ABI 14:25

Developer restrictions 17:33

From Jasabi to Kosabi 20:33

Strategies for keeping builds fast 22:08

Working with big modules 23:00

Bringing incremental Kotlin compilation to Buck2 24:48

Speed improvements 28:52

Third-party library upgrades 30:54

What's next? 33:56

Outro 36:14

Links
Meta Connect 2025 Developer Talks: https://www.youtube.com/playlist?list=PLb0IAmt7-GS2cONiFVhtdKWEsyNkF6uUP 

Buck2: https://buck2.build/

Incremental Kotlin compilation at Meta: https://engineering.fb.com/2025/08/26/open-source/enabling-kotlin-incremental-compilation-on-buck2/ 

Blog post about Jasabi (the Java counterpart to Kosabi): https://engineering.fb.com/2017/11/09/android/rethinking-android-app-compilation-with-buck/ 

Kotlin Conf talk about source-only ABI compilation: https://2025.kotlinconf.com/talks/857571/ 

Meta Connect 2025 Developer Talks: https://www.youtube.com/playlist?list=PLb0IAmt7-GS2cONiFVhtdKWEsyNkF6uUP 

Buck2: https://buck2.build/

Incremental Kotlin compilation at Meta: https://engineering.fb.com/2025/08/26/open-source/enabling-kotlin-incremental-compilation-on-buck2/ 

Blog post about Jasabi (the Java counterpart to Kosabi): https://engineering.fb.com/2017/11/09/android/rethinking-android-app-compilation-with-buck/ 

Kotlin Conf talk about source-only ABI compilation: https://2025.kotlinconf.com/talks/857571/