Large language models (LLMs) are remarkably versatile. They can summarize documents, generate code or even brainstorm new ideas. And now we’ve expanded these capabilities to target fundamental and hig...

I see people make the same mistakes over and over again when learning Rust. Here are my thoughts (ordered by importance) on how you can ease the learning process. My goal is to help you save time and ...

A modular system for integrating local and remote MCP (Model Context Protocol) and A2A (Agent-to-Agent) servers with a central registry. This enables AI assistants like Claude Desktop to discover and ...

The Definitive Python Implementation of Googles Agent-to-Agent (A2A) Protocol with Model Context Protocol (MCP) Integration Python A2A is a comprehensive, production-ready library for implementing Goo...

⚠️ This project is a non-commercial, educational clone of the original Pokémon games, developed purely to demonstrate how such a game can be implemented from scratch using C#.

AI agents are finally stepping beyond chat. They are solving multi-step problems, coordinating workflows and operating autonomously. And behind many of these breakthroughs is MCP. MCP is going viral. ...

C4 Modelizer is a web application that lets you design, explore and document a system architecture using the C4 model. It supports collaborative diagram editing, import/export with schema versioning a...

Interest in Anthropic’s Model Context Protocol (MCP) is as high as confusion about what it is and why you should use it. In part 1 of this series, I dove deep into MCP — what it is, and what it isn’t.

Okay, so in Astro you have two things: Astro Components: They have the .astro extension. They execute exclusively on the server or during the build. In other words, their code is never shipped to the ...

Rebrandly, a link management platform, developed a service that generated 100K URLs within a second. The solution helped its client, WonderCave, to raise millions of dollars in funds by sending SMS ca...

Often an organisation’s technical systems have a complex dependency graph, which is not always easy to discover and reason about. And the biggest issue of all -> Are these diagrams still up to date...

Key Takeaways As large language models (LLMs) have become widely adopted, AI-related innovation is now focusing on finely-tuned small language models and agentic AI. Retrieval-augmented generation (RA...

Imagine this: You’re in a system design interview, and the interviewer leans in with a challenge. At first, it’s exciting — a dream project. But then it sinks in: billions of tweets, real-time feeds, ...

Arch is an intelligent Layer 7 distributed proxy designed to protect, observe, and personalize AI agents with your APIs.

A MCP Server implemented in Node.js/TypeScript, facilitating interactive communication between LLMs and users. Note: This server is designed to run locally alongside the MCP client (e.g.

Why Idempotency is Important? Idempotency refers to the property of an operation where executing it multiple times has the same effect as executing it once. Distributed systems inherently deal with un...

Getting up to speed again with my custom cards after some difficult years! First commit is compatibility for Home Assistant 2023.4. I missed that one in my testcard view. For some reason I fixed the H...

This project was developed using Vercels open source libraries such as Next.js and AI SDKshadcn/ui, and is designed to run immediately in local environments or personal servers without complex setup. ...

This is higly customizable graph card for Home-Assistants Lovelace UI. It is based on ApexCharts.js and offers most of the features of the library.

Put modern-circular-gauge.js file into your config/www folder. Card and badge can be configured through visual editor or by yaml. Templates are supported on selected options, configurable only via yam...