Dev Systems
Modernizing the Meta Ads Service With an Open-Source Kernel Scheduler
TL; DRAt 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’s ad serving fleet, we turned to sched_ext — the upstream, BPF-based extensible scheduling framework — to build a scheduling policy customized to the Ads delivery workload.The result: a 28% reduction in ads retrieval stage tail(99th percentile) latency, 3.28 megawatts(MW) power saving, and a 1.1%
Build or buy: how AI changed whether your in-house realtime system is still worth it
A dropped connection used to cost a typing indicator. With AI in the product, it costs an entire response, mid-generation. That single shift is enough to reopen a decision most teams made years ago and stopped thinking about: whether to keep building realtime infrastructure themselves, or buy it.Fin, the AI agent platform formerly known as Intercom, made the call to buy. It had run its own realtime system, Nexus, for years, at the scale of one of the biggest support platforms on the internet. It
Unlocking the future of video data: March Networks cloud storage on AWS
Enterprise video surveillance is operating at an unprecedented scale as organizations across retail, banking, quick-service restaurants (QSR), convenience stores, and transportation networks generate petabytes of video data across thousands of distributed locations. As retention requirements grow and organizations seek to extract more operational insights from video, traditional on-premise storage models are becoming increasingly difficult and expensive to scale. March Networks is a global provi
How MAPFRE USA modernized fraud claims with Amazon EMR Serverless
Insurance fraud remains a significant challenge for the insurance industry. Fraudulent claims can increase loss costs, reduce trust, and consume investigation capacity that could otherwise be focused on serving customers. Traditional fraud detection approaches typically rely on rules-based controls, manual investigation triggers, historical claim patterns, and structured-data-only analysis. These approaches are useful for known fraud patterns, but they can struggle to detect sophisticated fraud
The AI Agent Lifecycle: A Simple Guide
The Bigger PictureBuilding an AI agent is fundamentally different from building traditional software.With a website or application, teams typically design, develop, test, and release. Once deployed, the focus shifts primarily to maintenance and feature enhancements. AI agents operate differently. They don't just execute predefined instructions they interpret information, reason, and make decisions.In banking, those decisions can influence customer experiences, operational efficiency, compliance
Show HN: Hyper – distributed Firecracker microVM orchestrator written in Elixir
Hey everyone! One of the problems I ran into is that a large part of the VM-provider ecosystem is currently paid closed-source SAAS products with varying degrees of reliability. I wanted an OSS distributed microVM orchestrator and I couldn't find one.Hyper is a distributed FirecrackerVM orchestrator written in Elixir (BEAM), with gRPC support for non-BEAM clients. Hyper is:- Distributed -- it's designed to run across a cluster of bare metal machines, and will automatically connect to o
Show HN: Root cause, Reproduce and generate Verified fixes for Production Bugs
I built FixBugs after years on-call at Arista, VMware, and Google.The painful part of debugging production systems was never writing the fix: it was reproducing the issue, collecting logs, tracing where the failure actually originated, and validating that the fix actually addressed the root cause.This investigation overhead is what FixBugs is designed to eliminate.FixBugs is a debugging agent that plugs into your existing workflow (VS Code, CLI, or webhooks for GitHub/Jira/GitLab). It
Beyond the Canvas: The Azure Architecture Diagram Builder Becomes Agent-Ready
AZURE ARCHITECTURE BLOG · 8 MIN READAuthor: Arturo Quiroga, Senior Partner Solutions Architect — MicrosoftTwo months ago I published From Prompt to Production: Building Azure Architecture Diagrams with AI, introducing the open-source Azure Architecture Diagram Builder. The response was humbling — thousands of you read it, tried the tool, and filed issues and feature requests. A follow-up on how the Well-Architected Framework scoring works went deep on validation.You asked, and the tool grew. Thi
Introducing AI Transport v0.5.0: durable execution with Steps
AI Transport v0.5.0 is now available. It adds first-class support for running an agent turn inside a durable execution framework, such as Temporal or Vercel's Workflow Development Kit (WDK), while every client watching the conversation still sees one clean, resumable stream.The last release, v0.4.0, let an agent hydrate its history from your own database. This one is about what happens when the process running the agent isn't around for the whole turn.Two kinds of durabilityA durable execution f
Specification-driven composition for flexible data workflows
Specification-driven composition addresses a common scalability bottleneck in data pipelines. Data pipelines often start as simple scripts, but as they grow, you duplicate transformation logic and small changes cascade across multiple workflows. Copying and modifying data transformation logic across scripts leads to workflows that become difficult to manage at scale. Tracking what each pipeline does becomes harder because workflow intent is embedded in code. This lack of visibility complicates g
Show HN: CodeRadius, map and govern multi repo architectures
Hi HN,I deal with tens of repositories daily, in a company with thousands. Having a clear picture of real-time architecture relies on discipline and the goodwill of engineers to keep the (fragmented) documentation up to date.
With coding agents, this problem grows at the speed of light.LLMs are good at explaining parts of code, but are very bad at extracting precise and reliable architecture mapping of big codebases, not to say when dealing with multiple repos of a microservices fleet (read: di
Show HN: I hated how much my 12-year-old played Roblox, so we built our own FPS
I'm a father of two, 7 and 12. They are obsessed with Roblox, especially Rivals.Like a lot of parents, we did not love it. We tried the usual things: block it, limit it, set timers." It became a daily battle, a lose-lose situation.So I flipped the problem.Instead of fighting what they loved, I decided to lean into it, but with a twist.Why just play an FPS when you could build one together?My kids became the PMs. Claude and I became their engineer.I was shocked by how fast we moved. We
We're rolling out AlphaEvolve widely to solve Google Cloud customers' hardest problems.
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/1-Blog_hero_pic.max-600x600.format-webp.webp">Finding the most efficient algorithm — whether designing a microchip, routing a logistics network or accelerating medical research — can be challenging, with many possib…
Why AI agents need a durable session layer - and why HTTP isn't enough
HTTP works fine for a chatbot that responds in seconds. Add token streaming, and it mostly still works. But once an agent starts doing things that take real time, reasoning across multiple tool calls, spawning sub-agents, running for minutes instead of milliseconds, the UX starts to falter.The connection drops while the agent is mid-thought. The user switches tabs, comes back five minutes later, and the session is gone. The agent finishes its work, but the client has already moved on. The user w
Golden Paths Are a Product. Treat Them Like One.
Audience: Cloud architects, platform engineers, engineering leadersIn my earlier Cloud Native Platforms articles, I focused on how teams build, run, and evolve modern engineering foundations. This article focuses on what keeps those capabilities useful after launch.Most teams do not lose adoption because the first release was poor. They lose adoption because the path was launched like a project and left to survive like a product.The pattern is familiar. A capability ships with good intent, reaso
S&P Global’s innovative disaster recovery strategy using Amazon FSx for NetApp ONTAP snapshots
This post is co-written by Nishanth Charlakola from S&P Global. Organizations have a requirement to build high availability and disaster recovery (HA/DR) solutions for their complex SQL Server infrastructure to maintain data availability and integrity. With the rapid pace of cloud adoption, businesses across different industries have realized the value of a successful proof of concept (POC) for any technical project that migrates existing environments to the cloud. For companies of any size,
Optimizing GitHub Copilot Cost in the Usage-Based Billing Era
GitHub Copilot has become a core part of the modern developer workflow. We use it to complete code, explain unfamiliar repositories, write tests, refactor legacy applications, review pull requests, generate documentation, and automate repetitive engineering work.But as GitHub Copilot moves further into usage-based billing, teams and users are asking a very practical question:How do we keep getting value from GitHub Copilot without letting costs become unpredictable?The answer is not to blindly s
Show HN: Autoops – Multi-region data and service mesh operated by a Makefile
Hi HN, Stefan here. autoops is an infrastructure automation framework I have been using at my previous company and is now opensourced. It has been the base layer running various products and projects, and also for quickly standing up client infra.It works with Debian-based systems (apt) and sets up a WireGuard mesh with peer discovery and built-in DNS (Wesher), a distributed S3-compatible object store (Garage), and a reverse proxy and load balancer (Traefik). It supports service autodiscovery (T
Show HN: Foundation – A Tale of Tokens and Psychosis
I called my first experience with AI psychosis, master - https://github.com/nmxmxh/master-ovasabi.During the beginning of the coding agent expansion, compute was somewhat free to get with the right methods. I decided to finally build the backend project I'd always wanted to build.I settled on Go for the language.
I'd always liked Go because it was easy for me to read whilst also always being in the top ranges for performance.I realise I'd tried to build a codeb
Show HN: Bytesalt – AI that finds bugs Playwright tests miss
Hey! I built Bytesalt and excited to share it here.Every engineering team I've been part of has had the same problem. Playwright (or similar) scripts pass, yet critical bugs showed up when real users used our software. I don't think this is because Playwright is inherently bad - it is doing its job perfectly well - testing exactly what we told it to test.The problem is - real world bugs happen because we didn't think to test a particular path - think a support widget covering the