Engineering Blogs

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...

  Privacy controls — systems that enforce retention, access, allowed-purpose, downstream-sharing, or anonymization policies — require a reliable understanding of data to function. Before such a c...

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 ...

Smart glasses like the Ray-Ban Meta and Oakley Meta Vanguards need to pack enough energy to power features like cameras, speakers, AI workloads, and even a display. But it all has to fit into the glas...

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...

Adopting AV1 for real-time communication at Meta has been a multi-year effort spanning codec selection, device eligibility, rate control, and error resilience. We’re sharing the technical and operatio...

By Celina AmadosAt Netflix, our catalog metadata is crucial to our member experience, and a single corrupted data state can impact millions of viewers immediately. To protect streaming reliability, we...

By Amer Hesson, Marcelo Mayworm, James Mulcahy, and Brittany TruongThe Problem: Managing Assets at Netflix ScaleNetflix’s Data Platform is vast. We have millions of tables in our data warehouse and te...

by Emily GillEach year, we bring the Analytics Engineering community together for an Analytics Summit — a multi-day internal conference to share analytical deliverables across Netflix, discuss analyti...

By Guil Pires, Jennifer Prince, Jose Camacho, Ken Kurzweil, Phanindra ChunduruBackgroundIn a previous post, we introduced Data Bridge, a unified management plane for batch Data Movement at Netflix. Hi...

by Matthew Wood, Ishan Gupta, Kevin Mercurio, Devon Bryant, and Claire DormanIn his seminal book “Thinking, Fast and Slow,” Daniel Kahneman describes two systems that drive human cognition: System 1, ...

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. ...

Join senior risk and payments leaders in Seattle to explore how AI is reshaping fraud strategy. Seats are limited. ...

We’re introducing Instantaneous PowerLoss Storm, a new testing paradigm within Meta’s infrastructure for handling and mitigating instant or zero-notice power loss in our data centers.  We’re sharing: ...

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...

We moved quickly to help Stripe businesses take advantage of DCAP and capture interchange savings while protecting authorization rates. Here’s what we did....

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...

In 2025, solo founders in the top decile generated 61 times the revenue of the median solo founder in their first six months. We analyzed the data to understand what drives that gap....

Radar now blocks high-risk transactions across all supported payment methods; defends against new fraud types like multi-account abuse and pay-as-you-go abuse, regardless of which payment processor yo...

We’re introducing SilverTorch, a reimagining of recommendation systems that unifies all retrieval components for user generated content under a unified architecture.  SilverTorch shows up to 23.7x hig...

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;DR  LLM evals, automated judges that assess relevance, coherence, and quality at scale, are a powerful new... The post Better Experiments with LLM Evals — A funnel, not a fork appeared first on Spo...

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...

Moving from an internal tool to a community-driven, production-ready data mesh.By: Ryan Tanner, Raymie Stata, Adam MiskiewiczIntroductionWe’re excited to announce the 1.0 release of the Viaduct. This ...

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...

AI is forcing platforms to expand beyond pure software. See how vertical SaaS platforms are using payments, financial services, and agentic commerce to build more durable businesses....

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 ...

Designing monitoring that works when everything else doesn’t.By: Abdurrahman J. AllawalaIntroductionWhen an incident hits, teams lean on observability to answer the only questions that matter: what’s ...

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...

Turning OpenAPI spec and Markdown files into a conversational ads management tool — no compiled code required. The post Building a Natural Language Interface to the Spotify Ads API with Claude Code Pl...

How Airbnb built a lightweight workflow engine to solve durable execution.By: Ricardo Gamba, Andriy SergiyenkoIntroduction: The durable execution problemPicture this hypothetical flow: A host submits ...

Authors: Richard Huang | Machine Learning Engineer II; Yu Liu | Senior Machine Learning Engineer; Ziwei Guo | Senior Machine Learning Engineer; Andy Mao | Staff Machine Learning Engineer; Supeng Ge | ...

How we used Honk, Backstage, and Fleet Management to ease the pain of migrating thousands of datasets. The post Background Coding Agents: Supercharging Downstream Consumer Dataset Migrations (Honk, Pa...

How we built a storage system that ingests 50 million samples per second and stores 2.5 petabytes of logical time series data.By: Rishabh KumarModern observability practice encourages instrumenting ev...

Shanhai Liao | Senior Software Engineer, Content Acquisition and Media Platform; Di Ruan, | Senior Staff Software Engineer, Content Acquisition and Media Platform; Evan Li, | Senior Engineering Manage...

Learn how Github uses eBPF to detect and prevent circular dependencies in its deployment tooling. The post How GitHub uses eBPF to improve deployment safety appeared first on The GitHub Blog. ...

Vaibhav Shankar; Staff Software Engineer | Raymond Lee; Staff Software Engineer | Chia-Wei Chen; Staff Software Engineer | Shunyao Li; Sr. Software Engineer | Yi Li; Staff Software Engineer | Ambud Sh...

Discover how Airbnb prioritizes user privacy while building a more connected community, empowering guests to engage socially, connect confidently, and maintain control of their personal data.By: Joy J...

Authors: Matt Lawhon | Sr. Machine Learning Engineer; Filip Ryzner | Machine Learning Engineer II; Kousik Rajesh | Machine Learning Engineer II; Chen Yang | Sr. Staff Machine Learning Engineer; Saurab...

The path to better performance is often found in simplicity. The post The uphill climb of making diff lines performant appeared first on The GitHub Blog. ...

I used coding agents to build agents that automated part of my job. Here's what I learned about working better with coding agents. The post Agent-driven development in Copilot Applied Science appeared...

AI automates triage for accessibility feedback, allowing us to focus on fixing barriers—turning a chaotic backlog into continuous, rapid resolutions. The post Continuous AI for accessibility: How GitH...

Here's how we made the search experience better, faster, and more resilient for GHES customers. The post How we rebuilt the search architecture for high availability in GitHub Enterprise Server appear...

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...

Learn how GitHub built an accessible, multi-terminal-safe ASCII animation for the Copilot CLI using custom tooling, ANSI color roles, and advanced terminal engineering. The post From pixels to charact...