Dev Systems - Building Systems That Scale

The missing transport layer in user-facing AI applications

Most AI applications start the same way: wire up an LLM, stream tokens to the browser, ship. That works for simple request-response. It breaks when sessions outlast a connection, when users switch devices, or when an agent needs to hand off to a human.The cracks appear in the delivery layer, not the model. Every serious production team discovers this independently and builds their own workaround. Those workarounds don't hold once users start hitting them in production.Here's what breaks, and wha

A more personal digital health experience for people in Europe

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/ai_health_everyone_hero.max-600x600.format-webp.webp">Google and DocMorris have announced a partnership to create a more intuitive and supportive digital health experience.

AI-powered event response for Amazon EKS

Cloud environments with dozens of microservices are now easier to manage than ever, and modern DevOps teams are well-equipped to balance rapid deployments with operational stability — even as monitoring tools surface thousands of daily signals. AWS DevOps Agent is a fully managed autonomous AI Agent that resolves and proactively prevents incidents, continuously improving reliability and performance of applications in AWS, multicloud, and hybrid environments. It brings Kubernetes-native intellige

Friend Bubbles: Enhancing Social Discovery on Facebook Reels

Friend bubbles in Facebook Reels highlight Reels your friends have liked or reacted to, helping you discover new content and making it easier to connect over shared interests.This article explains the technical architecture behind friend bubbles, including how machine learning estimates relationship strength and ranks content your friends have interacted with to create more opportunities for meaningful engagement and connection.Friend bubbles enhance the social experience on Facebook Reels by he

Ranking Engineer Agent (REA): The Autonomous AI Agent Accelerating Meta’s Ads Ranking Innovation

Meta’s Ranking Engineer Agent (REA) autonomously executes key steps across the end-to-end machine learning (ML) lifecycle for ads ranking models.This post covers REA’s ML experimentation capabilities: autonomously generating hypotheses, launching training jobs, debugging failures, and iterating on results. Future posts will cover additional REA capabilities.REA reduces the need for manual intervention. It manages asynchronous workflows spanning days to weeks through a hibernate-and-wake mechanis

Resiliency Patterns for Azure Front Door: Field Lessons

AbstractAzure Front Door (AFD) sits at the edge of Microsoft’s global cloud, delivering secure, performant, and highly available applications to users worldwide. As adoption has grown—especially for mission‑critical workloads—the need for resilient application architectures that can tolerate rare but impactful platform incidents has become essential.This article summarizes key lessons from Azure Front Door incidents in October 2025, outlines how Microsoft is hardening the platform, and—most impo

GenAI-based development platform - part 2: How Idea to Code turns an idea into working, tested software

This article is the third in a series about the GenAI-based development platform (aka. harness) that I’ve been developing to make GenAI-based coding agents like Claude Code more productive and less frustrating.The platform is a set of tools, constraints and feedback loops that guide their behavior, catch mistakes and prevent them from generating large amounts of poor-quality code that is often incomplete and untested.The complete list of articles in the series is as follows: Part 0 - My GenAI d

Ask HN: Are there any CS niches safe from AI?

I'll be graduating with a SWE degree soon and the thought of spending my career reviewing AI code just seems both awful and unsustainable.Programming has been fun because it is difficult. It required skill which is continously grown by the act of writing more code.Using code gen is boring, doesn't require much skill, and tends to atrophy your understanding of the subject.Does anyone have any experience with nearby niches to software engineering which might have some inherent property t

Future After the AI Revolution

Current AI revolution is building larger models, using feedback to fine-tune, building agents around them and such.I was thinking what will be the next revolution. We will have a true leap forward.We will have self-aware beings among us. John von Neumann architecture will be done for good. There will be zero software as a consequence. ( All in learning models ). Even biology is not there actually (DNA is a lot like John von Neumann than we would think), so this is a very tall claim.We may potent

Ask HN: If everyone is selling, then who is buying?

The cost of building software products is collapsing. A solo dev with LLMs can ship in a weekend what took a team months (Seriously some devs can do it). Has demand scaled with supply?Every other industry that went through this (fashion, food, furniture) followed the same arc which started with craftsmanship → mechanization → overproduction → commoditization → value migrates elsewhere. All of these industry feels and tastes the same. Consider food, everyone wants to open the next luxurious dinin

Show HN: Open-Source Workflow Builder SDK

Hi HN,I'm Maciej, founder of Workflow Builder. Over the last few years our team has been building diagramming and workflow tools for complex systems (industrial automation, AV system design, financial workflows, etc.).One thing we repeatedly noticed while working with clients is that many companies did not want to adopt full workflow automation platforms. Tools like Zapier, n8n or Camunda are great when you want an entire automation platform. But many teams we worked with wanted something d

Show HN: Agents shouldn't operate software–they should coordinate commitments

I've been working on Covenant Layer — an open protocol and framework for shifting AI agent systems from tool orchestration to outcome coordination.The core idea: agents shouldn't operate software step by step. They should publish objectives, compare competing provider offers, accept the best one under policy, and let providers fulfill outcomes with evidence and settlement.Why this matters: we're still building agents as "software operators" — better interns that click th

Show HN: AntroCode-A zero-dependency,single-file local AI client,159 clone in 4D

Hi HN,I'm the developer of AntroMind. Today I want to share AntroCode with you, an open-source project I've been refining for the past few months.Project IntroductionAntroCode is a zero-dependency, single-file local AI client designed specifically for models like DeepSeek. Its core design philosophy is simplicity—you only need to download an Python file, open it, and use it immediately, without installing any dependencies or configuring any environment.GitHub Address: https:/&#x2F

Show HN: Got tired of AI copilots just autocompleting, and built Glass Arc

Hey HN,Over the last few months, I realized I was paying $20/month for an AI that essentially just acts as a really good autocomplete. It waits for me to type, guesses the next block, and stops. But software engineering isn't just writing syntax, it's managing the file system, running terminal commands, and debugging stack traces.So I pivoted my project and built Glass Arc. It’s an agentic workspace that lives directly inside VS Code.Instead of just generating text, I gave it actu

Ask HN: Critique the published validation work for my blackjack simulator

I’m building a blackjack simulator and have published the architecture, methodology, validation reports, references, and known discrepancies here:https://ether-ore.github.io/BJW/The code is *not* open source, so I’m not asking anyone to audit the implementation itself. What I am asking is whether the *public validation work* looks serious and where its blind spots may be.In particular:1. If you were trying to explain the remaining differences with industry-standard tools like

Show HN: Scryer – Visual architecture modeling for AI agents

I've been working on this desktop tool (FSL license, free for commercial use) for the past month because I now spend more time in a terminal prompting Claude Code instead of using a code editor. It generally works quite well if I ask the right questions, but I still often find a lot of dead code, stubs, or poor architectural choices when I finish a session, and understanding the codebase itself can be jarring after making major changes through vibecoding.The idea for Scryer is to provide a

Zirco.ai – AI employee for dental front desk operations

Hi HN,I'm building Zirco.ai — an AI administrative employee for dental practices.The problem: dental front desks spend 2–3 hours every day manually verifying insurance benefits through carrier portals. On top of that, they're handling inbound scheduling calls, sending reminders, coordinating referrals, and managing new patient intake — all manually, all repetitive, all expensive. A single front desk employee costs $40–50K/year and turns over at 40% annually.What I built: an AI tha

Tell HN: AI tools are making me lose interest in CS fundamentals

With powerful AI coding assistants, I sometimes feel less motivated to study deep computer science topics like distributed systems and algorithms. AI can generate solutions quickly, which makes the effort of learning the fundamentals feel less urgent.<p>For those who have been in the industry longer, why do you think it’s still important to stay strong in CS fundamentals?

Show HN: AgentLog – a lightweight event bus for AI agents using JSONL logs

I’ve been experimenting with infrastructure for multi-agent systems.I built a small project called AgentLog.The core idea is very simple, topics are just append-only JSONL files.Agents publish events over HTTP and subscribe to streams using SSE.The system is intentionally single-node and minimal for now.Future ideas I’m exploring: - replayable agent workflows - tracing reasoning across agents - visualizing event timelines - distributed/federated agent logsCurious if others building agent sy

Becoming a Forest Civilisation

A forest is not one tree. It is many different things growing in the same place, competing, cooperating, dying, regrowing. No single species runs it. It holds together because the diversity itself is the structure.Human civilisations tend toward monocultures. One way of thinking crowds out the others - not because anyone chooses it, but because successful ideas spread. This has always happened. It is happening faster now.A forest civilisation resists this deliberately. Not by fighting successful