7 articles on AI for iOS performance
Showing 7 of 7 articles (Page 1 of 1)
Sentry Engineering ran 1,350 trials across three LLMs to evaluate whether MCP servers are necessary for AI-driven iOS development, finding that while all approaches hit 99%+ success, a simple AGENTS.md file is ...
In 2025, AI became our star driver. After years of building the infrastructure — Mercury for test and release management, Helios for VM orchestration
WhatsApp/Messenger moved key models on-device; reduced model load & inference time and improved ANR metrics. (Engineering at Meta)
DoorDash uses deep learning to nail ETA predictions with precision.
Details how Datadog brought data visualization capabilities to iOS performance monitoring and analysis.
Uber’s AI-powered DragonCrawl makes mobile testing sharper and more efficient.
Meta explores new ways to mix voice, touch, and more in app design.