I'm asking this because I'm seeing some frustrating patterns and if I may be bold, I think my answer is the correct one.Here's one I'm seeing: its the SDLC agent pattern and I think its wrong.Step 1: you have good AGENTS.md docume...
Meta’s newest app,Forum, is for anyone who wants to go deeper into the conversations in their Facebook groups.To build Forum, Meta engineers adopted a whole new way of working by bringing an AI agent into the development cycle.We’re shari...
Every four years, the World Cup becomes the largest planned stress test of our infrastructure. This year it also set an all-time record!There are a few moments throughout the year, like New Years Eve, that really let us see the collective impact of e...
I'm a technologist with 25+ years of hands-on experience across all IT roles and hundreds of technologies. I've done it all: from startups to Fortune 500s, from desktop applications to global distributed systems to AI dark factory harnesses...
Stof is an open-source runtime for logic you don't own or fully trust.Imagine a JSON document with functions inside, scoped to just the document that contains them. Stof instantiates this doc as a small wasm env, and makes these functions safe t...
Been recently thinking about this more and more: When the need for a human in the design loop ceases?Given that LLMs are RL'd to the max with everything that can be given a wrong/right answer (code/maths), what currently is stopping An...
Ke Mao, Mark Harman, and Yue Jia have been recognized with the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2026Most Influential Paper Award for their 2016 research, “Sapienz: multi-objective automated testing for Andr...
When Dynata set out to compress multi-sprint feature delivery into a single sprint, the answer wasn’t simply faster coding. It was reimagining the entire development lifecycle with AI. The team progressed in deliberate stages. They began with AI-assi...
This is the fourth in a series of articles based on my talk Architecting for Fast Flow: Thriving Amid Uncertainty.In this series, I define the term fast flow and explain why it has become an essential software delivery capability.I discuss how fast f...
Authors: Divya Gadde, Ko-Jen Hsiao, Dhaval Patel and Moumita BhattacharyaThe motivation for building the Netflix Foundation Model for personalization was laid out in this previous blog post. The Netflix homepage is powered by several specialized mode...
by Olek Gorajek, Samuel Redai, Yian ShangIntroOur Netflix journey from data to dashboards, particularly within the space of the experimentation platform, always presented a unique set of challenges. This blog post aims to illuminate these hurdles and...
By Kevin Zielnicki, Guy Aridor, Aurélien Bibaut, Allen Tran, Winston Chou, and Nathan KallusIntroductionPersonalization is everywhere on the internet. It shapes the products we discover, the stories we read, the music we hear, and the movies and TV s...
By Oleksii Tkachuk, Rajiv Shringi, Chris Lohfink, Abe Ratnofsky, Kartik SathyanarayananIntroductionIn an earlier post, we introduced the TimeSeries Abstraction, our high-throughput, low-latency platform designed to store and query temporal event data...
By Yogesh NagarurIntroductionIn Part 1 of this series, we shared how Netflix built the Ads Event pipeline and approached it as a system design problem: replacing fragmented pipelines with a centralized collection, enrichment, and a standard data cont...
Netflix Conductor : The Next Chapterby Aravindan Ramkumar on behalf of the Conductor teamConductor is the workflow orchestration engine Netflix uses to stitch micro-services into reliable, observable business processes.If you’ve followed Conductor fr...
By Prashanth Gedde NarayanaswamyAs one of Netflix’s largest and critical data pipelines, member-sessionizer consolidates tens of billions of hourly client events, encompassing user taps, playbacks, and engagement signals, into individual viewing sess...
By Emma Yanyang Kong, JJ Tan, Ishan Gupta, Lars Olds, Claire Campbell, David Fagnan, Ratna Kavuri, Rohan Gosain, Veli Balin, Minsu Jang, Louis GarciaIntroductionAny team generating text with an LLM at scale hits the same problem. You cannot evaluate...
By Violetta Pidvolotska and Naveen MareddyStratum is Netflix’s internal serverless media processing platform, shaped by over a decade of experience developing large-scale distributed systems. It powers a wide range of media workloads — including enco...
Authors: Nick Rutigliano, Argha C, Samartha ChandrashekarHow we detect failing GPUs and network fabric, remediate machines automatically, and let long-running jobs survive hardware loss.Open Netflix, and the home screen is assembled for you: which ro...
WebSocket connections power some of the most interactive experiences on the web: financial trading applications streaming live market data, collaborative editing tools where multiple users work on the same document, gaming leaderboards updating in re...