Dev Systems
How BMW Group accelerated connected vehicle workloads on AWS Graviton
This post is co-written with Tomislav Lozancic, Hrvoje Lukavski from BMW Group, and Hugo Cardoso from CTW. BMW Connected Company, a division within BMW Group, develops and operates premium digital services for BMW’s connected vehicle fleet of more th...
How boAt delivers personalized fitness coaching with Amazon Bedrock
This post is co-written with Sridhara Seshadri from KaHa Technologies Pvt Ltd, a wholly-owned subsidiary of Imagine Marketing Limited (IML). Recognizing that users need more than raw fitness data, boAt launched the “AI Coach” feature. It uses a combi...
Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale
Over the last year we’ve been sharing our work leveraging large language models to catch bugs on the fly — a novel approach we call Catching Just-in-Time Tests (JiTTests).Now, we’re sharing the results and positive impact we’ve seen...
How Revinate accelerated API adoption with Amazon API Gateway
Accelerating API adoption while reducing operational overhead is a challenge that every growing organization faces. For Revinate, a hospitality provider serving over 12,500 hotels worldwide and powering more than 1.25 billion guest profiles, Amazon A...
Automating agentic AI Well-Architected reviews with the AWS Agentic AI Lens
In regulated industries, there’s no room for a move fast and break things approach, especially when AI agents are handling sensitive customer communications data. In this post, we show how Smarsh, a leading archiving and compliance platform for commu...
Meta Andromeda: Powering the Next Generation of Ads Retrieval Through Model-System Co-Design
This post describes the next generation of Meta Andromeda, Meta’s personalized ads retrieval engine, and how co-designing the model, system, and GPU hardware unlocks a new efficiency frontier for ads retrieval.In production, the system scores e...
Show HN: Cryo – A language whose programs live forever
Cryo is a programming language that models long-running tasks like workflows or AI agents. Programs freeze to disk when idle and can be thawed when new data arrives.As part of our announcement of Endothermic Labs, we've put together a small demo...
Ask HN: Any founders want to trade pitch practice and customer interviews?
Hi there,I'm Gary, technical founder building a workflow orchestration app for software development to manage hundreds of Claude Code sessions. I'm preparing for a product launch and would love to practice pitching and conducting customer i...
Ask HN: Do you still read clean code and software architecture books?
Now that we have coding agents writing all our code for us, are you still needing to reach out and read books such as clean code and other software architecture books?I think they are now more important than ever as there is more code being pushed o...
Publishing LMS courses with a Kiro SCORM pipeline
Publishing a Shareable Content Object Reference Model (SCORM) course to a learning management system (LMS) is rarely as straightforward as writing the course. The LMS needs SCORM packages to adhere to a standard format for successful import and launc...
Vessel-specific voyage optimization with machine learning: Manta on AWS
Voyage performance varies even between seemingly identical ships, and models built on vessel-type averages often miss the mark. Manta Marine Technologies (Manta) closes that gap with machine learning (ML) models trained on each vessel’s own operation...
How Anchorage Digital and Turnkey verify code with AWS Nitro Enclaves
This post is co-written with Prasanna Gautam from Anchorage Digital and Arnaud Brousseau from Turnkey. In crypto, trust is a liability. A wallet often delegates computation to a third party to parse a transaction, evaluate a policy, or manage key mat...
PrivacyLib: Privacy Controls at the Data Access Boundary
This latest deep dive into Meta’s Privacy Aware Infrastructure (PAI) takes a look at PrivacyLib. A privacy requirement must hold as data moves through Meta’s diverse data and processing systems. Historically, supporting a new requirement meant...
Python Typing Survey 2026: AI Tools and the Shifting Checker Landscape
The 2026 Python Typing Survey received 1,794 responses. Type hint use changed little across three years, but checker selection changed sharply. Among respondents who reported which checkers they use, half selected more than one, and missing library t...
Data governance with annotations in Amazon S3
If you run data governance in Amazon Simple Storage Service (Amazon S3), the context that matters most probably lives somewhere other than S3. Think of how an object is classified, which retention policy applies to it, where the data may reside, and...
Recommended resilience testing in the next generation of AWS Resilience Hub
Organizations that have defined resilience policies and assessed their applications face a common next step: verifying those applications behave as expected when failures occur. Designing fault injection experiments manually requires deep expertise....
Making Failure Diagnosis Reliable with Pensive AI
By Praneeth Yenugutala, Victor Dusa, Anastasia Samoilova, Megan Ren, Justin Wei, Marcelo MaywormAt Netflix, data and machine learning practitioners run millions of workloads each day across orchestration systems and compute engines such as Titus, Spa...
Multi‑Ratio Video Resizing for Mobile Feed and Marketing
Serdar Cellat, Yuchen Xie, Bernadette Marcu, Blaid Burgess, Cody Jarrett, Carlos Pereira, Qing Shi, Samuel Carvajal, Manuel Pamplona, Dorothy Jung, Feiko Ritsema, Benjamin Klein, Alex Woo, Eugene Lok, Anna Pulido, Rebecka Swe, Sanford HolsappleIntrod...
Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI Networks
At the 2026 Open Compute Project (OCP) Global Summit, Meta shared thenetworking innovationsthat are directly supporting our latest AI models, includingMuse Wonder andMuse Spark, and our gigawatt-scale Prometheus cluster. HighlightsIcePack & IceCu...
Show HN: Radian, an agent puts development workflow on autopilot
I have built an indie hacker project; my main flow was:1. chatting with Claud Code about the general plan2. assigning slices of work to other worker agents like Pi + DeepSeek 4.1 Flash3. building in parallel4. Claud Code reviews when done, runs tests...