Dev Systems - Building Systems That Scale

Show HN: Django-security-hunter – Django security scanner CLI

I built a lightweight CLI tool for Django and Django REST Framework projects to help detect common security issues early in development.It focuses on problems like:unsafe production settings exposed or misconfigured APIs missing security configurations common security risks in Django projectsThe goal is to make security checks simple and part of everyday development or CI workflows.GitHub: https://github.com/abu-rayhan-alif/djangoSecurityHunter

Show HN: Skilldeck – Desktop app to manage AI agent skill files across tools

Skill files (.claude/skills/, .cursor/rules/*.mdc, AGENTS.md, .windsurfrules) are becoming a core part of AI-assisted development workflows. The problem: they scatter across projects, diverge silently, and every new repo means rebuilding behavioral config from scratch. Each tool uses a different format and location.Skilldeck keeps one local library and deploys to any tool in the correct format automatically. Ten built-in target profiles cover Claude Code, Cursor, Copil

Show HN: I built a Cargo-like build tool for C/C++

I love C and C++, but setting up projects can sometimes be a pain.Every time I wanted to start something new I'd spend the first hour writing CMakeLists.txt, figuring out find_package, copying boilerplate from my last project, and googling why my library isn't linking. By the time the project was actually set up I'd lost all momentum.So, I built Craft - a lightweight build and workflow tool for C and C++. Instead of writing CMake, your project configuration goes in a simple craft.

Enterprise AI does not have a model problem. It has an adoption problem

Enterprise AI does not have a model problem. It has an adoption problem.Today, Fortune highlighted the gap clearly: Companies are pouring tens of millions into AI, while 80% the white collar workforce are either bypassing the tools, not using them, or just straight up sabotaging them. That is not because employees are lazy. It is because most companies rolled out the Ferrari before giving their white collar employees the reason to want to drive the Ferrari, instead of their regular Toyota Prius.

Show HN: Superpowers-UML – UML-Enabled Superpowers

Superpowers-UML modifies Superpowers to ensure a software development workflow in which AI agents design through UML modeling, for Claude Code users.

Show HN: Recursive-Mode for Coding Agents

recursive-mode is an installable skill package for coding agents. It gives your agent a file-backed workflow for requirements, planning, implementation, testing, review, closeout, and memory, instead of leaving the whole process scattered in context.Long-running agent work has a common failure mode: requirements, decisions, and plans live in the conversation. Once the session ends or the context window overflows, the agent loses track of what was decided, what was implemented, and why.recursive-

UK Department for Transport accelerates public policy insights with Google Cloud AI

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/UKTransport-hero_v2.max-600x600.format-webp.webp">The UK’s Department for Transport uses Google Cloud AI to analyze feedback.

Show HN: 500k+ events/sec transformations for ClickHouse ingestion

Hi HN! We are Ashish and Armend, founders of GlassFlow.Over the last year, we worked with teams running high-throughput pipelines into self-hosted ClickHouse. Mostly for observability and real-time analytics.A question that came repeatedly was: What happens when throughput grows?Usually, things work fine at 10k events/sec, but we started seeing backpressure and errors at >100k.When the throughput per pipeline stops scaling, then adding more CPU/memory doesn’t help because often part

Show HN: Collabmem – a memory system for long-term collaboration with AI

Hello HN! I built collabmem, a simple memory system for long-term collaboration between humans and AI assistants. And it's easy to install, just ask Claude Code: Install the long-term collaboration memory system by cloning https://github.com/visionscaper/collabmem to a temporary location and following the instructions in it. To collaborate with AI over weeks, months, or even years, there needs to be a shared conceptual understanding of:- History (episodic memory): wh

Show HN: Druids – Build your own software factory

Hi HN!Druids (https://github.com/fulcrumresearch/druids) is an open-source library for structuring and running multi-agent coding workflows. Druids makes it easy to do this by abstracting away all the VM infrastructure, agent provisioning, and communication. You can watch our demo video here (https://www.youtube.com/watch?v=EVJqW-tvSy4) to see what it looks like.At a high level:- Users can write Python programs that define what roles the agents take on and how

Show HN: OS Megakernel that match M5 Max Tok/w at 2x the Throughput on RTX 3090

Hey there, we fused all 24 layers of Qwen3.5-0.8B (a hybrid DeltaNet + Attention model) into a single CUDA kernel launch and made it open-source for everyone to try it.On an RTX 3090 power-limited to 220W: - 411 tok/s vs 229 tok/s on M5 Max (1.8x) - 1.87 tok/J, beating M5 Max efficiency - 1.55x faster decode than llama.cpp on the same GPU - 3.4x faster prefillThe RTX 3090 launched in 2020. Everyone calls it power-hungry. It isn't, the software is. The conventional wisdom NVID

Mythos, Glasswing, and the hardware disclosure problem nobody is discussing

Coverage of Anthropic's Claude Mythos Preview and Project Glasswing has focused almost entirely on software vulnerabilities. That is where the demos are and where controlled release maps cleanly onto existing disclosure practice. I have not seen anyone engage with the next obvious question: what happens when a Mythos-class model is given detailed hardware architecture documentation and asked to do a security-oriented review? My intuition is the hardware case is meaningfully worse, for reaso

Show HN: Build queryable packs for AI agents from videos, podcasts, and files

Hi,This started from a pretty personal use case.There was this very technical person I follow who would go live on YouTube from time to time. He has a ton of experience, and would casually drop really good insights about software architecture, engineering tradeoffs, and just general "you only learn this after years" kind of stuff. He also posts shorter clips, but I wanted something else: I wanted that knowledge to be always there, queryable whenever I needed it.At the same time, I was

Advancing to Agentic AI with Azure NetApp Files VS Code Extension v1.2.0

Table of ContentsAbstractIntroducing Agentic AI: The Agent Volume ScanWhy This MattersWhy AI-Informed OperationsCore ComponentsEnhanced Natural Language InterfaceAI-Powered Analysis and TemplatesWhat are the Benefits?Business BenefitsEconomic BenefitsTechnical BenefitsReal‑World ScenarioLearn more AbstractThe Azure NetApp Files VS Code Extension v1.2.0 introduces a major leap toward agentic, AI‑informed cloud operations with the debut of the agentic scanning of the volumes. Moving beyond tr

Escaping the Fork: How Meta Modernized WebRTC Across 50+ Use Cases

At Meta, WebRTC powers real-time audio and video across various platforms. But forking a large open-source project like WebRTC within our monorepo presents unique challenges – over time, an internal fork can drift behind upstream, cutting itself off from community upgrades.We’re sharing how we escaped this “forking trap” – from building a dual-stack architecture that enabled safe A/B testing across 50+ use cases, to the workflows that now keep us continuously upgraded wit

Show HN: Secure SDLC Agents for Claude and Cursor (MCP)

Hey HN,I have been using Claude Code and Cursor lately and as we all know, they write code incredibly fast but a few times i have noticed they can introduce the same security flaws. For example, you ask the LLM to build a file upload feature, you will get working code in minutes, but it would almost always miss magic-byte validation or leaves you vulnerable to SVG XSS. The LLM optimizes for code that compiles not code that is secure.To fix this for my own workflow, I made a set of 8 security-foc

Show HN: Splice CAD – Wiring and cable assembly CAD with an agentic assist

Still working on Splice CAD. The two most significant updates focus on handling design complexity and automating using agentic workflows. Previous Show HN here:https://news.ycombinator.com/item?id=449781401. Projects:This workflow is more amenable to system-level modeling. It overlaps somewhat with the original workflow but includes improvements including:Complex Routing: Model topologies with branchpoints.Mating Relationships: Represent physical mating (e.g., a receptacle into a

Show HN: jmux – tmux-based development environment for humans and coding agents

I've been a tmux user for years. When I started running 5-10 Claude Code sessions in parallel, I tried the tools that are out there: Conductor, cmux, the GUI orchestrators. None of them felt right. They either wanted me to leave tmux entirely for a 100MB+ Electron app with its own editor and Git workflow, or they were thin wrappers that didn't solve the actual problem: I need to parallelize my entire development environment, agents, editors, servers, logs, and keep track of all of it.S

Show HN: PromptJuggler – A dev env and runner for prompts, workflows, agents

Backstory: At work I had to build an AI pipeline to run millions of prompts. First I just put the prompts into string consts and integrated directly with api, chaining one run onto the output of another – but it quickly became a maintenance nightmare. Iterating on prompts, testing them over datasets, experimenting with different chaining did not fit into the regular sdlc and running them at our scale was quite difficult as most of the time is spent on waiting for the api response while holding o

ACID vs BASE Explained | Why Distributed Systems Break Under Load (System Design Deep Dive)

ACID vs BASE — Why Money Disappears in Distributed Systems An e-commerce system crashed mid-transaction. Customers ...