Engineering Blogs

Why shorter outputs can cost more, and how GitHub Copilot reduces wasted work across the complete coding task. The post How we make AI coding more cost efficient without sacrificing task quality appea...

John Grass | Sr. Manager, EngineeringA Fundamental TransformationAn AI team is fundamentally more than just a group whose members incorporate AI tools into their existing workflows. The journey to bec...

By Emma Yanyang Kong, Aditya Deshpande, Asad Abbasi, Bowei Yan, David Fagnan, Ashish Rastogi, Dhaval Patel, Ray ZhangIntroductionThe Netflix experience is a journey of discovery. Every visual cue, fro...

Devin Kreuzer | Sr. Machine Learning Engineer; Yichi Wang | Machine Learning Engineer I; Sujan Reddy Ale | Machine Learning Engineer I; Zelun Wang | Sr. Machine Learning Engineer; Hongtao Lin | Sr. Ma...

Project Lighthouse — Part 3: Introducing project-lighthouse-anonymizeThe data in Project Lighthouse is powered by privacy-preserving anonymization code. We’ve put this code into open source, and publi...

We built a plugin for the GitHub Accessibility Scanner to make sure your alt text is actually accessible. Here's how it works. The post Your alt text passes automated checks. That doesn’t mean i...

Training and serving frontier AI models depends on fast, reliable networks that move data between GPUs without wasting compute cycles.  To meet this challenge at scale, Meta designed MetaRoCE – a clea...

MTIA 300 is the first of Meta’s family of in-house training and inference accelerators optimized for training ranking and recommendation models. We’re sharing how MTIA 300’s built-in NIC chiplets allo...

Samuel Yeboah, Francesco Di Chiara and Mingliang LiuToday, Netflix runs two Flink autoscalers. That is exactly one more than we want. We built the first one in-house years ago, when there was no matur...

As AI transforms software economics, the standard revenue playbook is breaking down. Learn how leaders around the world are preparing for agent buyers, updating processes for faster pricing iteration,...

When we retrain, when we rebuild, and when we leave a model alone.By: Harrison KatzA forecast that carries weightThe Forecasting Data Science team at Airbnb produces many of the forecasts the rest of ...

Platforms like DoorDash, Meta, and Deel already enable stablecoin payouts for global workers. We surveyed 2,300 workers in 20 countries to see what's driving stablecoin demand, where the opportunity i...

Two product upgrades make it easy for global businesses to manage FX entirely on Stripe. We’re expanding multicurrency settlement to more markets and currencies, and we’re introducing the ability to c...

TL;DR: LLM predictions can stand in for human outcomes in A/B tests, but only by assumption, not by design.... The post When Can LLMs Replace Humans in A/B Tests? appeared first on Spotify Engineering...

Rebuilding login and signup surfaced product insights, not just technical challenges. Here’s how we designed Flexible Authentication at the intersection of product intuition and technical architecture...

WhatsApp is committed to helping people stay safe while protecting the privacy of their messages. As scam tactics evolve — from impersonation to social engineering to AI-generated lures — we’re ...

AI companies are undergoing rapid global expansion while achieving unprecedented rates of growth. We analyzed Stripe data to understand where global demand is the strongest, and how companies can buil...

Enterprise Java developers have a new superpower—drive GitHub Copilot from idiomatic Java code with annotations, virtual threads, and more. The post Using the GitHub Copilot SDK for Java appeared firs...

How and Why Netflix Built a Real-Time Distributed Graph: Part 3 — Querying the graph with gRPC execution APIAuthors: Nilesh Mishra and Ajit KotiThis is the third entry of a multi-part blog series desc...

Every day, Meta’s recommendation platforms handle billions of user interactions, generating rich temporal signals that capture individual preferences and intent across products, ads, and content. In o...

Instead of one huge, un-reviewable pull request, teach coding agents to decompose work into a clean, ordered stack with GitHub stacked pull requests. The post Turn one giant AI-generated pull request ...

Meta’s Generative Ads Recommendation Model (GEM), the foundation model behind ads recommendations across Instagram and Facebook, now trains at LLM scale on several thousand of the latest-generat...

by Aarti Laddha, Richard Diaz-Cool, Rishika Idnani, Venkatesh SelverajNetflix supports a vast and evolving set of features and content types, ranging from 4K streaming and immersive audio to live stre...

How a branch-free loop and byte-space arithmetic let GitHub case-fold every byte of code search at >45 GiB/s on a single core. The post Don’t stop early: Case-folding source code at memory speed...

Authors: Ying Li, Arjun Rao, Shradha SehgalIntroductionRecommendations sit at the heart of the Netflix experience. Our current production models rely on thousands of hand‑crafted features over users, ...

Dependabot keeps your dependencies current, but its defaults can flood your repository with pull requests. Here's how grouping updates, slowing the cadence, and keeping security fixes fast cut the noi...

How Airbnb teams build trustworthy Generative AI products by treating evaluation as a first-class engineering discipline; not an afterthought.Nestled into the lush hillside, this stunning modern retre...

Companies like Spotify need vast quantities of data accessible at low latency for online services and,... The post Indexing the Data Lake for Online Point Queries appeared first on Spotify Engineering...

Part 1 of 2AuthorsPersonalization (Homefeed): Yuke Yan, Chuxi Wang, Andreanne Lemay, Olafur Gudmundsson, Anna Kiyantseva, Krystal Benitez, Jongho Kim, Jiacong He, Rahul Goutam, James Li, Dylan WangUse...

Ammar Ekbote | Senior Software EngineerChan Kim | Senior Software EngineerManaging Infrastructure as Code (IaC) across a massive organization comes with a unique set of security and logistical challen...

How we built a Transformer-based sequence model that encodes years of guest behavior to surface the right listings at the right time.By: Daochen Zha, Chun How Tan, Xin Liu, Bin Xu, Han Zhao, Xiaowei L...

To understand what can influence win rates, we analyzed evidence packets from one million disputes over a 16-week period. Here’s what the data shows and what it means for how you mitigate disputes....

Over the past two months, podcast creators have experienced a series of reliability issues on Spotify. This... The post Content Ingestion & Podcast Video Incident Report appeared first on Spotify...

By AI Platform’s Model Runtime team and Inference teamIntroductionMost organizations consume LLMs through hosted APIs. Netflix went further — we run the full stack ourselves, from model deployment thr...

The cost of writing code dropped; the cost of owning it didn't. A framework for deciding which changes are actually cheap in the AI era. The post The cost of saying yes has changed appeared first on T...

Hierarchical Interest Representation is a research area for Meta Ads. We’re exploring an upstream representation layer over the universe of Ads entities – users, advertisers, products, services – lear...

Training an LLM is the easy part. The hard part is designing experiments and evaluations that you can trust enough to know whether the new model is actually an improvement.By: Baharak SaberidokhtIntro...

How we built a Slack-native on-call reasoning harness at Instacart that shortens time to first insight, speeds up theory testing, and turns tribal knowledge into reusable infrastructure.Key Contributo...

By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez-Silva & Nathan FisherA deep dive into the engineering challenges of building a real-time service dependency map at Netflix scale: from str...

TL; DR At Meta’s scale, a few milliseconds of latency degradation can have a significant negative impact on ads performance.  When a Linux kernel upgrade risked regressing latency across Meta&#8...

How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence. The post Better tools made Copilot code rev...

Explore how the Aspire team turns merged product changes into SME-reviewed docs pull requests, closing the gap between release and documentation. The post Automating cross-repo documentation with GitH...

Sergio Camelo, Caitlin Kearns, Matias Cersosimo, and Tilman DrerupAs artificial intelligence increases the velocity of engineering and science teams, experimental throughput is set to become a bottlen...

Over the past several years, model capabilities and training dataset sizes have experienced exponential growth. During the past year or so, the time between new-frontier-model releases has gone down f...

This year marks Meta’s 10th consecutive year as a sponsor of the Python Software Foundation (PSF), the charitable organization dedicated to advancing, supporting, and protecting the open-source ...

Benjamin S. KnightScaling Marketplace experiments requires specialized statistical techniques. We examine why standard ordinary least squares regression (OLS) becomes computationally intractable when ...

Authors: Lequn Wang, Jiangwei Pan, and Linas BaltrunasFigure 1. Autoregressive homepage generation. GenPage builds a Netflix homepage one row or entity at a time, each one conditioned on what’s alread...

Sheng Huang | Software Engineer, AI Platform; Pong Eksombatchai | Machine Learning Engineer, Applied Sciences; Saurabh Vishwas Joshi | Software Engineer, AI Platform; Gaurav Arora | Software Engineer,...

Yisheng Zhou | Software Engineer IILiang Mou | Sr Staff Software EngineerGabriel Raphael Garcia Montoya | Staff Software EngineerIstvan Podor | Staff Software EngineerIntroductionIn the first post of ...

By Zhuoning Yuan, Ta-Ying Cheng, Benjamin Klein, Bahareh AzarnoushIntroductionAt Netflix, we build technology to help storytellers bring their creative visions to life and to help members discover the...

More than 6,000 hospitality executives and operators gathered in San Antonio last week for the HITEC conference. The big topic: whether the industry’s AI investment is actually working. Across four da...

By Alvin Bao, Alex Petrov, Jennifer Lai, Aidan Sherr, and Samartha ChandrashekarAs a part of the journey to transition Netflix’s compute infrastructure to be more Kubernetes-native, we have leaned int...

We analyzed spending patterns across the 250 million customers paying with Link. We found that Link customers are spending more on AI than they were three months prior, investing heavily in platforms ...

Our data shows that agents are now fully capable of independently writing code and integrating with APIs like Stripe’s. And yet, many of the steps adjacent to writing code are still too hard for agent...

At Spotify, data problems used to follow a specific pattern. You'd look for the relevant dashboard, there... The post Encoding Your Domain Expert: The Context Layer Behind Spotify's Data Assistant app...

How Airbnb’s data engineers and analytics engineers built a consistent and flexible data modeling framework to support the expansion into Homes, Experiences, and Services.By: Patrick Lam, Namrata Lamb...

How Airbnb built a Kubernetes sidecar to deliver dynamic configuration reliably at scale.By: Bo Teng, Cosmo Qiu, Siyuan Zhou, Ankur Soni, Xin Huang, Willis HarveyIntroductionIn our previous post, we e...

At Sessions 2026, Stripe unveiled dozens of products and capabilities to help businesses turn global demand into revenue. See how to go global faster with localized checkout and Adaptive Pricing, smar...

Explore how AI agents are transforming commerce at Stripe’s Agentic Commerce Next roadshow. Reserve your spot in Seattle. ...

At Code with Claude, Spotify’s chief architect shared how we make both teams and AI agents more effective. The post Coding Is No Longer the Constraint: Scaling Developer Experience to Teams and Agents...

Key Contributors: Karuna Ahuja, Marko Avdalovic, Soroush Sobhkhiz, Shrikar Archak, Xiyu Wang, Ji Chao Zhang, Hao YanIntroductionEvery time a user opens Instacart, they see product recommendations: on ...

How Airbnb used sequential geographic recovery signals and prior propagation to generate reliable corridor-level forecasts when local data was scarce.By: Harrison KatzThe problem with unprecedented sh...

Key Contributors: Shrikar Archak, Karuna Ahuja, Soroush Sobhkhiz, Marko Avdalovic, Xiyu Wang, JiChao Zhang, Hao Yan, Chris HartleyIntroductionOperating a grocery catalog at Instacart’s scale means man...

Levi Boxell, Tilman Drerup, Alexandr LenkThe Economics Team at Instacart is an applied science team that operates at the intersection of machine learning engineering and economics. Similar to other ap...

Authors (listed alphabetically)Ads Feature Engineering Infra team: Ajay Venkatakrishnan, Le ZhangCore ML Infra team: Eric Shang, Pihui WeiML Data team: Connor Votroubek, Yi HeUser Understanding team: ...

How Airbnb shifts from PaaS to an internal knowledge graph infrastructure at scale.By: Lucen Zhao, Shukun Yang, Ashish JainKnowledge graphs offer a natural and powerful way to represent relationships ...

TL;DRBackground: Marketing Across Marketplace and StorefrontInstacart operates across two distinct commerce experiences:Instacart Marketplace, our first-party consumer marketplaceStorefront Pro, our w...

How the GitHub Issues team used client-side caching, smart prefetching, and service workers to make navigation feel instant. The post From latency to instant: Modernizing GitHub Issues navigation perf...

An Engineer’s Guide to Better AI Skills: Implementing a Testing Process to Optimize Agent Performance in Any Repository or SkillAuthor: Daniel ReedThe tech industry is currently seeing a massive overh...

Huiqin Xin | Machine Learning Engineer II, Ads Vertical Modeling; Lakshmi Manoharan | Senior Machine Learning Engineer, Ads Vertical Modeling; Karthik Jayasurya | Staff Machine Learning Engineer, Ads ...

Authors: Trey Zhong, Xiyu WangContributors: Joseph Haraldson, Sharad Gupta, Sarah LamacchiaIntroductionCarrot Ads is Instacart’s omnichannel retail media solution that allows retailer partners to buil...

Guangtong Bai | Staff Software Engineer, Product ML Infrastructure*; Shantam Shorewala | Software Engineer II, Product ML Infrastructure*; Chi Zhang | Staff Software Engineer, AI Platform*; Neha Upadh...

Key Contributors: Moein Hasani, Hamidreza Shahidi, Trace Levinson, Guanghua ShuIntroductionAt Instacart, we are laser-focused on improving the user experience by making shopping feel easy, engaging, a...

Key Contributors: Youming Luo, Andrew Tanner, Matas Sriubiskis, Sylvia Lin, Sikun Zhu, Lei Li, Xiao ZhouIntroductionCaper is Instacart’s AI-powered smart cart that provides customers with a fast, seam...