Dev Systems
Show HN: Opty – A Zig-based HDC that reduces token use by up to 90%
I kept seeing people all over social media talking about how they were making custom local-LLM systems to help reduce the token load injected into their context window.On the side my recent project has me looking at Hyperdimensional Distributed Memory. I couldn't help but wonder if I could make an MCP server to improve token usage. Sure enough, using a combination of HDC + TOOL format, I was able to get opty's own self audit down by 93% in token usage.Still experimenting with large cod
Ask HN: Why is network documentation still a scavenger hunt for the truth?
After nearly two decades around DC networking (design, maintenance, migrations), the consistent problem I see isn’t “how to get configs” it’s drift and it feels like it’s getting worse as architectures become more distributed.
Whatever you call the “source of truth” (DCIM/IPAM/CMDB, docs/spreadsheets, quick sketches in gimp/mspaint, diagrams, GIS/KMZ, vendor dashboards) almost always diverges from the running state. The first thing to decay is usually the relationships:
Show HN: AI-Native "Medicare for All" Prototype
Medicare.dev is a fully-functional prototype of how I think an AI-native, single-payer healthcare system could work. It uses "programs" and not "plans" because I do not think plans make sense given that nobody plans on getting sick. It also uses one big market-network instead of provider networks, you can also add your own providers if you want to.How It Works:1. Define the Problem — A patient or provider describes a health need in natural language. Just press the mic and ex
Ask HN: Does anyone know how to register as a developer at Microsoft?
I'm trying to distribute an Office Add-in. The Partner Center developer/company profile confirmation system is completely broken (trying to avoid flame bait) and Microsoft Support won't pick up the phone or chat. I've been stuck for over a month now, does anyone know the way through this process?
A thought on quantum error correction: accuracy without replay feels fragile
I’ve been thinking about quantum error correction work lately, and one thing keeps bothering me.A lot of effort goes into reporting decoder accuracy improvements, but much less into whether those results are replayable over time or safe to compare after assumptions change.In practice, small shifts in noise behavior, detector mapping, or measurement stability can quietly invalidate earlier conclusions. Often everything still “looks reasonable,” so regressions go unnoticed until much later.It feel
Show HN: PgDog – Scale Postgres without changing the app
Hey HN! Lev and Justin here, authors of PgDog (https://pgdog.dev/), a connection pooler, load balancer and database sharder for PostgreSQL. If you build apps with a lot of traffic, you know the first thing to break is the database. We are solving this with a network proxy that works without requiring application code changes or database migrations.Our post from last year: https://news.ycombinator.com/item?id=44099187The most important update: we are in production. S
Show HN: I built an AI senior architect – vibe coding meets system design
I've been designing distributed systems for years, for work, interviews, side projects. I wanted one place to do all of it: refresh my architecture knowledge, keep up with how companies like Netflix and Stripe actually build things, and try out design ideas without starting from a blank page every time.So I built SysDesAi. It started as a tool for myself. Part AI architect, part learning platform, part engineering news source. You describe what you want to design and an AI walks through it
Show HN: Raypher–Sandboxing local AI agents(OpenClaw)on your own local computer
Hey HN,Most of us want to run autonomous agents like OpenClaw locally, right on our daily-driver machines. We want them to actually interact with our files, our IDEs, and our real local workflows.But doing that right now is a security nightmare. A hallucinating (or hijacked) agent with raw system access is basically local remote code execution waiting to wipe a directory or leak an SSH key.The current workarounds are terrible:The Hardware Air-Gap: Buying a dedicated Mac Mini or a secondary cheap
Show HN: Chaos Monkey but for Audio Video Testing (WebRTC and UDP)
It takes an input video and converts it into H.264/Opus RTP streams that you can blast at your video call systems (WebRTC, SFUs, etc.). It also injects network chaos like packet loss, jitter, and bitrate throttling to see how things breakIt scales from 1 to n participants, depending on the compute and memory of the host system
Best part? It’s packaged with Nix, so it builds the same everywhere (Linux, macOS, ARM, x86). No dependency hellIt supports both UDP (with a relay chain for Kubernete
6,000 AWS accounts, three people, one platform: Lessons learned
This post is cowritten by Julius Blank from ProGlove. As software-as-a-service (SaaS) platforms grow, balancing speed of innovation with strong security and tenant data isolation becomes critical. While the same AWS Identity and Access Management (IAM) mechanisms secure both shared and dedicated environments, establishing a hard security boundary is often easier in an account-per-tenant model because the account itself becomes the isolation boundary. In shared-account deployments, you instead re
Seeking a Front End Engineer Role
Location: India
Remote: Yes!, but can do on-site/hybrid in Pune
Role: Frontend/Software/Founding engineer full-time
Willing to relocate: Yes, but want visa sponsorship. Technologies:
Languages & Frameworks: TypeScript, JavaScript, React, Next.js, Node.js
Databases & State: MongoDB, SQL (PostgreSQL/MySQL), Redux Toolkit, React Context API
UI & Frontend: Material-UI (MUI), Tailwind CSS, SCSS, HTML5/CSS3, Responsive UI/UX
The Reason Robotics DevOps Is Failing to Scale
In the robotics industry, the transition from manual "bespoke" workflows to standardized Continuous Integration and Continuous Deployment (CI/CD) is a critical requirement for scaling operations. Robotics CI/CD involves automating the build, testing, and distribution of software specifically for heterogeneous hardware, such as NVIDIA Jetson or other edge devices.Robotics CI/CD: Key Requirements:Hardware <-> Software Alignment: Unlike traditional cloud CI/CD, r
Instance segmentation model that extracts 3D geometry from 2D floor plans
Hey HN,I am an ML Engineer and a full-stack software engineer. For the past few weekends, I have been working on a pipeline to solve a PropTech problem: turning messy, highly occluded 2D floor plans into clean, structured data for 3D extrusion. Originally demoed for a firm hiring for the role.The Problem:
If you try to use standard object detection (bounding boxes) or basic OCR (tested Qwen, DeepSeek) on architectural plans, it fails instantly. Walls intersect, doors swings and dimension lines h
Show HN: Hardware and software safety standard for AI and Robots (15 patents)
I'm a solo inventor in rural Pennsylvania. Over 13 days in February 2026, I filed 15 provisional patent applications (134 claims) with the USPTO covering a full-stack safety and governance architecture for AI systems.The patents break into three domains:Hardware enforcement (4 PPAs, 33 claims): A dedicated safety processor on its own power rail controls whether AI compute receives electricity. AI boots only after safety completes self-test. During operation, the safety processor monitors AI
Show HN: Raypher–eBPF-based runtime security and hardware identity for AI agents
Hey HN,I’m the founder of Raypher . We are building a kernel-level execution guard and cryptographic identity layer specifically designed for autonomous AI agents(opencalw).
curent AI agents(open claw) are big security risks our Mission is to make a security feture that will enable developers to make agents and ship them faster without worrying about security risks
The Problem:
Right now, the agentic ecosystem (OpenClaw, LangChain, MCPs) is giving LLMs "hands" with almost zero runtime
Show HN: Claw Cash – Money agents can trust, and verify. Stablecoins in. BTC out
Hey HN, I built Claw Cash, a CLI that gives autonomous agents a Bitcoin wallet. Humans pay in stablecoins (USDC/USDT on Polygon, Arbitrum, Ethereum), the agent auto-converts to Bitcoin and holds it as treasury. When the agent needs to pay for compute or other services, it swaps back on the fly.The core thesis is that an LLM can cryptographically verify Bitcoin. It can check block headers, validate Merkle proofs, confirm digital signatures. It cannot independently verify that Circle has doll
Ask HN: In the Age of AI, How Do I Grow as a Software Engineer?
I'm 3.5 years into my career. I was able to enjoy the first 10 months of it ignorant of the storm LLMs / agentic development would bring.The never ending promise of my job being automated away is soul crushing, especially considering I made a career change & got a 2nd BS degree in computer science to get into the software space.I'm really at a loss given how bleak things are made out to seem and its really crushed my motivation. I don't have a lot of senior engineers arou
Show HN: A Vaadin Algebra and Calculus Solver Built with AI Assistance
Hi HN,I’d like to share a side project that has gradually become my main creative outlet: The Algebrator, a web-based algebra and calculus solver I built using Java, Spring Boot, Vaadin 24, and a symbolic math engine under the hood.It started as a personal attempt to revisit the math I loved in middle/high school, but it evolved into a multi-year design experiment in AI-augmented software engineering. I built and iterated on this app using a paired-programming workflow with LLMs (ChatGPT +
RCCLX: Innovating GPU communications on AMD platforms
We are open-sourcing the initial version of RCCLX – an enhanced version of RCCLthat we developed and tested on Meta’s internal workloads. RCCLX is fully integrated with Torchcomms and aims to empower researchers and developers to accelerate innovation, regardless of their chosen backend.Communication patterns for AI models are constantly evolving, as are hardware capabilities. We want to iterate on collectives, transports, and novel features quickly on AMD platforms. Earlier, we developed and op
Microservices Platforms - part 5: Observability platform
This is the fifth article in a series based on my QCon San Francisco 2025 talk Microservices Platforms: When Team Topologies Meets Microservices Patterns.The articles in the series are: Microservices Platforms - part 1: Overview Microservices Platforms - part 2: Service foundation platform Microservices Platforms - part 3: Security platform Microservices Platforms - part 4: Infrastructure services platform Microservices Platforms - part 5: Observability platformThis article describes the Ob