New blog post today from @yukoy0827, Senior Director of Engineering at Lyft.
Learn about how Lyft has increased the representation of underrepresented minorities in tech leadership roles through our Equitable Development Initiative.
https://t.co/UFtTf0luoc
New blog post today from Engineers @kosigz and Martin Liu! Discover how the ML Platform developed Real-time Machine Learning foundations to empower hundreds of ML developers at Lyft and the lessons learned along the way: https://t.co/BW9NQkyG1d
Any designers figure out what to do with color styles in their DS @figma libraries?
Do we replace our color palette styles with variables? Any benefit to having the styles too? Any way to migrate existing color style usages in feature files to variables? 🤷♂️
@lyfteng New Blog Post today from Rajeev Prabhakar, Han Wang, and Anindya Saha!
Explore Part 2 of how Lyft's ML Platform Team developed a scalable anomaly detection system, enhancing ML model observability and diagnosis following last week's Part 1.
https://t.co/YApTgkZvHc
New Blog Post today from Engineers Anindya Saha, Han Wang, and Rajeev Prabhakar!
Learn how Lyft's ML Platform Team efficiently profiles model features, predictions, and performs anomaly detection at scale: https://t.co/Z3DBtnPTJ7
New Blog Post! Software Engineer Dean Liu takes us through how the Security team achieved egress network traffic filtering for all services at Lyft:
https://t.co/wuDPwJo8m7
We just open sourced a library, primarily written by @kastiglione, for consuming Swift's index data. We're currently using it internally to discover unused code. Hopefully it lowers the barrier of entry for writing more powerful semantic analysis tools! https://t.co/xmvTioImK1
New blog post out today by @Annnysha7! Learn about how Lyft folks have organized fundraisers, their strategies, and how you can replicate the process at your company! https://t.co/HUkZryS2BT
Learn about Lyft’s new "Safe Mode" feature in our mobile apps that mitigates crash loops on launch and helps prevent hotfixes in this article from @rebello95 - https://t.co/D2DXEldl1n
Continue to follow Lyft’s Mobile Performance journey with this post by Wen Zhao on how we prioritized app stability and reduced large crash categories that were plaguing our apps: https://t.co/nJbSPJtEEI
New blog out today: @miguelmolinas shares Lyft’s Continuous Delivery journey and how automating deployments improves both developer experience and application health. https://t.co/J0fWMLOu01
To anxious, frustrated software engineers at Twitter, as well as anyone else: the teams I manage at Lyft have openings for an iOS Tooling engineer and an iOS architecture engineer. 😸📱💻 (1/n) https://t.co/F9G0JQhLHp
Twitter folks looking to leave (or anyone else interested of course!): we still have multiple openings on Lyft’s mobile infra team, including this one and an iOS tooling role!
In today's blog post, @morfly_io dives into how Lyft measures the CPU usage of our apps and some of the challenges we overcame to capture this data on Android: https://t.co/uqBmblyECC