Dev Systems
Show HN: Seele AI – Generate playable games from text prompts using MLLM
I'm a co-founder of Seele AI. We are building a generative engine designed specifically for game development.Unlike typical code-generation tools that rely on general-purpose LLMs, we have developed our own Multimodal LLM (MLLM) optimized for gaming. It doesn't just output text/code; it natively handles 3D models, spatial coordinates, and visual information to construct the game world.Key Features:Engine Support: We currently support real-time generation for Three.js and Unity Web
Show HN: aTerm – a terminal workspace built for AI coding workflows
I’ve been doing more AI-assisted development lately using tools like Claude Code and Aider, and I kept running into the same friction: too many terminal tabs and split windows to manage at once — agent, shell, dev server, tests, git, etc.So I built a small macOS app called aTerm — a terminal workspace designed around multi-pane, agent-driven coding workflows rather than single shells.Core ideas:- project-based terminal workspaces- predefined layouts for common AI coding setups (AI + Shell, AI +
Show HN: Astrolabe – Navigate Your Data Universe in Nextcloud
Astrolabe is a new Nextcloud app that I've developed that enables semantic search across your documents, notes, calendar, recipes, etc.It leverages the nextcloud-mcp-server (same author) as the backend to enable AI workflows via MCP that you can use from any compatible MCP client such as Claude Code, Gemini CLI, Opencode, etc.This is my first foray into NC app development, and I'd really appreciate any productive criticism. I learned a lot about php, authentication within Nextcloud, as
Show HN: Vibefs – A file preview server for remote vibe coding
I vibe-coded this tool entirely from my phone with OpenClaw, to solve a problem I encountered in this workflow. It's called vibefs.The use case: when you're remotely controlling an AI agent and want to preview a file it generated — a development plan, a piece of code, or some log it found — you can have the agent run vibefs allow /path/to/file and send you back an accessible URL. Open it in your browser and you're looking at the file with syntax highlighting.For lar
Show HN: ARM64 Android Dev Kit
GUI-first, multi-service gRPC scaffold for an Android Development Kit style workflow on an AArch64 system.
Show HN: I built Clash to avoid conflicts when running AI agents in parallel
Hey HN,I made Clash, an open-source cli tool that helps you/your coding agent manage merge conflicts that occur during parallel development on the same repository.Example: Two agents working on different features both modify src/main.rs. Clash shows you this conflict immediately and not after lots of time and tokens spent during the merge time.It is a simple tool that your agent can use as part of the development process to check if the commits agents make are conflicting with any othe
How Convera built fine-grained API authorization with Amazon Verified Permissions
Convera processes billions in cross-border payment volume yearly for businesses and financial institutions worldwide. As their platform grew, they needed a robust authorization system that could protect sensitive financial data while maintaining operational efficiency across their global network. In this post, we share how Convera used Amazon Verified Permissions to build a fine-grained authorization model for their API platform. Background As Convera’s service offerings expanded, they needed a
How Google Cloud is helping Team USA elevate their tricks with AI
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/helping_Team_USA_Hero.max-600x600.format-webp.webp">Google Cloud built an industry-first AI tool to help U.S. Ski and Snowboard athletes.
No Display? No Problem: Cross-Device Passkey Authentication for XR Devices
We’re sharing a novel approach to enabling cross-device passkey authentication for devices with inaccessible displays (like XR devices).Our approach bypasses the use of QR codes and enables cross-device authentication without the need for an on-device display, while still complying with all trust and proximity requirements.This approach builds on work done by the FIDO Alliance and we hope it will open the door to bring secure, passwordless authentication to a whole new ecosystem of devices and p
The latest AI news we announced in January
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/LatestAI_v5.max-600x600.format-webp.webp">Google AI announcements from January
Mastering millisecond latency and millions of events: The event-driven architecture behind the Amazon Key Suite
Background Amazon Key empowers customers to securely manage access to their homes and businesses through innovative solutions. Through a suite of consumer and business products, the Amazon Key team is transforming how customers receive deliveries and manage access to their spaces. Our In-Garage Delivery service offers a secure and convenient solution for receiving Amazon packages and groceries directly inside customers’ garages. For property managers and building owners, Amazon Key provides
Show HN: VPC Principle - Why AI coding fails at scale
Hello Hackers,I’m working on a draft about AI-native software engineering.The core idea is simple but uncomfortable: most failures in AI-assisted coding are not capability problems, but governance problems. We routinely allow AI systems to make high-impact architectural decisions without bearing responsibility for their consequences.The VPC Principle proposes a governance model:
- Verdict: high-responsibility decisions that only humans can make
- Permission: explicit decision boundaries delegate
Code is getting cheaper. Building is not
There is a heavy sentiment floating around lately.
“Everything will be built automatically”
“My craft is obsolete”
“In six months, a tool will read my mind and produce whatever I imagine”I want to challenge this.
Code is getting cheaper.
Building is not.We are confusing capability with intelligence.
LLMs are not AGI. They are not minds that can discover new physics on demand.
They are high‑fidelity simulators of a semantic space: compressing patterns, language, and human intent into a queryable
Show HN: Stanislavski Protocol – Real-Time Emotional Logic Framework
[0.Initializing:The Magic If (Sandbox Bootloader)]
Traditional cognitive methods fail due to a lack of Organic Fidelity. We use the Magic If as a System Bootloader: "I am not currently an Authority, but If I were to initialize the King.sys environment, how would I route my resources?"
This creates a believing Sandbox where the brain can execute commands without the friction of "objective reality." The goal is to establish Organic Truth—a self-consistent internal state that
Architecting an Azure AI Hub-and-Spoke Landing Zone for Multi-Tenant Enterprises
A large enterprise customer adopting AI at scale typically needs three non‑negotiables in its AI foundation:End‑to‑end tenant isolation across network, identity, compute, and dataSecure, governed traffic flow from users to AI servicesTransparent chargeback/showback for shared AI and platform servicesAt the same time, the platform must enable rapid onboarding of new tenants or applications and scale cleanly from proof‑of‑concept to production.This article proposes an Azure Landing Zone–aligned ar
Reference Architecture for Highly Available Multi-Region Azure Kubernetes Service (AKS)
IntroductionCloud-native applications often support critical business functions and are expected to stay available even when parts of the platform fail. Azure Kubernetes Service (AKS) already provides strong availability features within a single region, such as availability zones and a managed control plane. However, a regional outage is still a scenario that architects must plan for when running important workloads.This article walks through a reference architecture for running AKS across multi
I realized "Thinking", it WORKS
Today, we perform calculations in the way, that is easiest for the human mind.
Maximum number we use, is the number of our fingers.
When I examined how computers actually calculate, I realized what we call “thinking”. Computers perform only 0-1 calculations, but we can use it’s fast memory: to remember results of many simple calculations, and we sum them up. Then, computer „remembers” results of much more digits operations and sums them up correctly.
See, whenever a computer performs a calculati
Show HN: Redress – failure policy for Python services
Hi HN,I've been working on redress, a failure-policy library for Python services. It treats retries, circuit breakers, and stop conditions as coordinated responses to classified failure, rather than independent wrappers. The goal is to make failure behavior explicit, bounded, and observable across a codebase.I kept running into the same problem in distributed systems and data pipelines I worked on. Retry logic grows organically at call sites and circuit breakers live somewhere else entirely
Show HN: Quorum-free replicated state machine built atop S3
Hi HN,I’m sharing the alpha release of S2C, a state machine replication system built atop S3.The goal is to enable a distributed application to maintain consistent state without needing a quorum of nodes for availability or consistency.The idea came from a side project that was using S3 and where I needed strongly consistent distributed state but wanted to avoid adding a separate consensus dependency. I initially tried to use S3 directly for coordination, but it became messy. Eventually, I reali
Show HN: Workflow – A Git-native, local-first DAG orchestrator in Go
I built workflow because I was tired of the "infrastructure tax" required to run simple task pipelines. Most orchestrators assume you want a distributed system with a web UI and a database server.I wanted something simple and reliable, but with the features of a modern data orchestrator:- Stateful: It uses a local SQLite DB to track every run and retry. If a task fails, you can fix it and resume.- Deterministic: Strict topological ordering based on depends_on logic.- Static: A single G