Category: Infrastructure
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🧪 CodeGen Microservice — AI-Powered Agentic Code Writing (TDD Style)
An agentic backend that generates code from tasks, creates tests, and opens GitHub PRs. This microservice lives deep in the Guardian system and is a cornerstone of how I build new software. 📚 Table of Contents 🧭 What Is It? The CodeGen microservice is a self-contained backend that enables autonomous agents to: It’s designed to… Read more
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🛣️ Route Design in Guardian: Telemetry-Ready, AI-Consumable, and Typed End-to-End
Guardian’s backend routes aren’t just functional — they’re designed for maximum clarity, traceability, and automation. Here’s an example: Let’s break this down: 🔧 createRoute: Structured Route Metadata Each route is wrapped with createRoute(), which describes: ✅ This creates a self-documenting, fully typed API — consumable by both humans and machines. 📘 .openapi: Automatic OpenAPI Spec… Read more
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🤖 Toward Fully Autonomous Software Engineering
A Theory of End-to-End AI-Created Applications Using Chained Reasoning, Memory, and Self-Improving Pipelines Software engineering is undergoing a fundamental shift. We’re no longer just writing code — we’re building systems that write, test, and ship themselves. At the heart of this transition is a simple question: What if AI could not only generate code —… Read more
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📚 Understanding Embeddings and Vector Databases with Qdrant
🧠 What Are Embeddings? 📐 Understanding Vector Sizes 🧪 What Embedding Model Should You Use? Model Dimensions Best for Notes mxbai-embed-large 1024 General memory Great with LLMs text-embedding-3-small 1536 Short-form text OpenAI fallback all-MiniLM-L6-v2 384 Lightweight use Fast, decent 🔧 How to Create an Embedding + Insert Into Qdrant 🧷 Qdrant + Guardian 🛠 Common… Read more
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🧠 How I Use Local LLMs in Production
Why I brought AI home — and how it powers my personal automation stack. Introduction: Why Local? When people hear “LLMs in production,” they often think of cloud APIs like OpenAI or Anthropic. But for me, running local models is not a side experiment — it’s a core pillar of how I architect software. I’ve… Read more
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📓 Tutorial: Syncing Notion with Your AI-Powered Kanban Board
Welcome! In this tutorial, you’ll learn how to integrate Notion with an intelligent task system powered by your own personal AI assistant. This setup allows you to: ✅ Manage tasks visually using a Kanban board✅ Automate task creation and updates using Notion + n8n✅ Enable AI agents to work alongside you in real time If… Read more
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🧠 Tutorial: How Guardian Automatically Generates Blog Posts
Welcome to the Guardian blog generation tutorial. In this guide, we’ll walk through how Guardian uses LLMs, metadata, and automations to autonomously generate SEO-friendly blog posts from your real engineering activity. This system is ideal for: 🧩 System Architecture Overview Here’s what powers the blog generation: Layer Tool Purpose LLM Ollama (e.g. llama3.1) Generates content… Read more
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🧱 Getting Set Up: Tools I Use to Power My Stack
If you’ve been following along with my blog or projects, you know I build AI-first automation systems and tooling around local-first, private infrastructure. To replicate any of the workflows I share, you’ll want to get your environment set up similarly. Absolutely — here’s a comprehensive, production-ready section you can drop right under that line: 🧰… Read more