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.

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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

83: Patch Me If You Can: AI Codemods for Secure-by-Default Android Apps

Meta Tech Podcast