Whitepaper Companion Podcast - Prototype to Production
Whitepaper Companion Podcast - Prototype to Production
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Building eCourses: A Community‑First LMS SaaS (and Why You Should Build in Public)
I’m building a Learning Management System SaaS called eCourses , designed specifically for small communities and independent educators who feel priced out or over‑engineered by existing platforms. This post is the first in a series where I’ll walk through the architecture, decisions, and “lessons learned” from shipping an LMS from scratch — in public, open source, and on a tight budget. Why I Built eCourses Most LMS platforms are either: Too expensive for solo creators and small communities. Too complex for simple “course + modules + lessons + live sessions” workflows. Too rigid to let instructors experiment with their own teaching style. I wanted something that: Feels native to communities (not just single instructors). Scales technically and financially under $10/month at reasonable load

I Let AI Coding Agents Build My Side Projects for a Month — Here's My Honest Take
Last month I ran an experiment: instead of writing code myself, I delegated as much as possible to AI coding agents. Not just autocomplete — full autonomous agents that read files, run commands, and ship features. I've been running a home lab (Mac Mini M4 + a Windows PC with GPUs + an Ubuntu box) for a while now, and I already had my dev workflow automated with AI agents . But this time I pushed further: what if the agents didn't just help me code, but actually wrote the code? Here's what happened. The Setup I used a mix of tools: Claude Code (CLI) — my go-to for complex, multi-file tasks Codex (OpenAI) — good for one-shot generation with clear specs Local models via Ollama — for quick iterations without burning API credits The workflow: I'd describe what I wanted in plain English, point t

How I Built a Multi-Agent Geopolitical Simulator with FastAPI + LiteLLM
What happens when you give four LLM agents their own strategic doctrines, red lines, and constraints — then throw them into a geopolitical crisis? I built Strait of Hormuz Simulator to find out. It's a multi-agent sandbox where four nations (Iran, US, Israel, Gulf States) are each controlled by an independent LLM, and the results are surprisingly realistic. The Architecture Each country is a markdown file (a "soul") that defines its strategic doctrine and default parameters: backend/souls/ ├── iran.md # Asymmetric warfare, Strait control ├── us.md # Three bad options, escalation management ├── israel.md # Nuclear red line, preemptive calculus └── gulf_states.md # Oil leverage, diplomatic survival The backend runs each agent sequentially — every round, each nation receives: A shared situati
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Building eCourses: A Community‑First LMS SaaS (and Why You Should Build in Public)
I’m building a Learning Management System SaaS called eCourses , designed specifically for small communities and independent educators who feel priced out or over‑engineered by existing platforms. This post is the first in a series where I’ll walk through the architecture, decisions, and “lessons learned” from shipping an LMS from scratch — in public, open source, and on a tight budget. Why I Built eCourses Most LMS platforms are either: Too expensive for solo creators and small communities. Too complex for simple “course + modules + lessons + live sessions” workflows. Too rigid to let instructors experiment with their own teaching style. I wanted something that: Feels native to communities (not just single instructors). Scales technically and financially under $10/month at reasonable load

Qodo vs Cody (Sourcegraph): AI Code Review Compared (2026)
Quick Verdict Qodo and Sourcegraph Cody are both AI tools for software teams, but they solve fundamentally different problems. Qodo is a code quality platform - it reviews pull requests automatically, finds bugs through a multi-agent architecture, and generates tests to fill coverage gaps without being asked. Cody is a codebase-aware AI coding assistant - it understands your entire repository and helps developers navigate, generate, and understand code through conversation and inline completions. Choose Qodo if: your team needs automated PR review that runs on every pull request without prompting, you want proactive test generation that closes coverage gaps systematically, you work on GitLab or Azure DevOps alongside GitHub, or the open-source transparency of PR-Agent matters to your organ

XYRONIX
🌌 X Y R O N I X // NEURAL CONCEPTUALIZATION MATRIX // v1.0.0 // "Pure, decentralized creation space. Infinite boundaries. Zero latency." XYRONIX is a high-performance, infinite-plane rendering engine designed for rapid ideation, tactical diagramming, and free-form vector sketching. Operating entirely within the computational bounds of your browser, XYRONIX provides a secure, lightweight environment to map out your digital universe without relying on external server telemetry. 🚀 LIVE DEPLOYMENT: ESTABLISH UPLINK XYRONIX requires zero installation, zero server configurations, and zero package managers. It is hosted directly on the global grid via GitHub Pages. 🔗 Access the XYRONIX Interface Here THE UI To Engage Systems: Initialize: Click the uplink above to open the matrix in your prefer


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