Hey everyone, I'm Francesco 👋
Today, I want to share a story that isn't about the latest framework or a complex architectural pattern, but about a personal journey – one that took me from the demanding environment of a warehouse floor to the fascinating world of AI and multi-agent systems.
If you're reading this, chances are you're a developer, or aspiring to be one. And maybe, just maybe, you've felt the pressure of not having a "traditional" background – no Computer Science degree, no expensive bootcamps. Well, you're not alone. My story is living proof that curiosity, persistence, and a passion for building can truly beat credentials.
📦 The Starting Line: Life in the Warehouse
For a significant part of my professional life, my days were defined by logistics, inventory, and the physical demands of a warehouse. It was an honest job, one that taught me discipline and the value of hard work. But deep down, there was a growing itch, a nagging curiosity about how the digital world worked, how software was built, and what truly made things "smart."
I watched, I wondered, and eventually, I decided to dive in. The idea of transitioning into tech felt daunting, almost impossible, especially without a formal background. But that curiosity was a powerful motivator.
🎓 My University: Documentation & AI as My Teacher
I didn't have the luxury of a university curriculum or a structured bootcamp. What I did have was access to the internet, an insatiable desire to learn, and two incredibly powerful allies: comprehensive documentation and AI assistants.
My learning approach was simple yet effective: learn by building.
Whenever I encountered a new concept, a new language like Node.js, TypeScript, or Python, I wouldn't just read about it. I'd immediately try to build something, even if it was a tiny, broken prototype.
🤖 How AI Became My Personal Tutor
AI assistants like Claude AI and Google Gemini weren't just chatbots for me; they were my personal tutors, available 24/7:
| Use Case | How It Helped |
|---|---|
| Explaining Concepts | When documentation seemed opaque, AI explained it in simpler terms with examples |
| Debugging | Paste code + error → get pointed in the right direction |
| Code Generation | Quick boilerplate and prototypes to focus on the why |
| Best Practices | Instant, distilled knowledge on demand |
This wasn't about letting the AI code for me, but about having an intelligent pair-programmer and a patient teacher always at my side.
🤖 Diving Deeper: AI & Multi-Agent Systems
As I gained confidence in fundamental programming, my fascination naturally gravitated towards Artificial Intelligence. Specifically, the idea of multi-agent systems captivated me — specialized AI agents collaborating to solve complex problems, mimicking a team of human experts.
Featured Projects
fracabu
/
Agent-PayMind
PayMind is an AI payment reminder system that autonomously analyzes invoices, generates personalized messages, and handles customer responses using Claude AI agents.
💰 PayMind
AI-Powered Payment Reminder System
Autonomous invoice management with Claude AI Agents
Overview
🎬 Video Demo - Coming soon
🇬🇧 English
What is PayMind?
PayMind uses autonomous AI agents to analyze overdue invoices, generate personalized reminder messages for each communication channel (Email, SMS, WhatsApp), and analyze customer responses.
🤖 AI Agents
Agent
Function
payment-monitor-agent
Analyzes CSV invoices, identifies overdue/disputed invoices, segments by priority
reminder-generator-agent
Generates personalized messages by channel (Email/SMS/WhatsApp)
response-handler-agent
Analyzes customer responses, identifies intent, suggests actions
🚀 Quick Start
# Clone
git clone https://github.com/fracabu/Agent-PayMind.git
cd Agent-PayMind
# Use agents (requires Claude Code CLI)
"payment-monitor-agent: analyze invoices.csv and give me a report"
"reminder-generator-agent: generate email for FAT-2025-001"
"response-handler-agent: analyze this response: [paste text]"
📋 Project Structure
Agent-PayMind/
├── .claude/agents/
│ ├── payment-monitor-agent.md # Invoice analysis
│ ├── reminder-generator-agent.md # Message generation
│ └── response-handler-agent.md # Response analysis
fracabu
/
tube-forge-agents-team
Multi-agent AI system for YouTube content production. 6 specialized Claude Code agents automate the entire video pipeline from market research to publishing.
TubeForge Agents Team
AI-Powered YouTube Content Production Pipeline
Multi-agent system for automated video content creation
Agent Architecture
Tech Stack
🇬🇧 English
Overview
TubeForge is a multi-agent orchestration system built with Claude Code that automates the entire YouTube video production pipeline. It coordinates 6 specialized AI agents to produce high-quality content for Italian small business owners interested in AI automation.
Features
- Sequential agent pipeline - Each agent reads prior outputs and produces standardized files
- Structured asset generation - 10 numbered files per video (scripts, prompts, metadata, checklists)
- Bilingual support - Italian primary content, English metadata
- Market-validated niche - AI automation for small businesses
- Complete workflow - From research to publishing
Target Audience
Italian small business owners (28-55 years) seeking practical AI automation solutions. Content is expert, ROI-focused, with 12-15 minute tutorial format.
🇮🇹 Italiano
Panoramica
TubeForge e un sistema di orchestrazione multi-agente costruito con Claude Code…
fracabu
/
sellsnap
SellSnap is an AI-powered web application that provides instant, professional appraisals for second-hand items, including price, description, and pre-filled data for selling platforms.
SellSnap
AI-Powered Second-Hand Appraisal
Instant valuations for used items with Gemini AI
🇬🇧 English
Overview
A web application using AI to provide instant appraisals for second-hand items. Snap a photo, get a professional valuation with description, price, and ready-to-sell fields for Vinted, eBay, Subito.
Features
- Multi-Category AI Analysis - Antiques, furniture, electronics, fashion, music, watches, jewelry
- Price Estimation - Market research and comparisons
- Authenticity Checks - Counterfeit and legal risk detection
- Multi-Platform Fields - Pre-filled for Vinted, eBay, Subito
- Interactive Chat - Follow-up questions on appraisals
Categories
Antiques, Furniture, Art, Electronics, Fashion, Musical Instruments, Books, Vinyl, Watches, Jewelry, Tools
Quick Start
git clone https://github.com/fracabu/sellsnap.git
cd sellsnap
npm install
# Create .env.local
GEMINI_API_KEY=your_key
npm run dev
Access at http://localhost:5173
🇮🇹 Italiano
Panoramica
Un'applicazione web che usa l'AI per fornire perizie istantanee di oggetti usati. Scatta una foto, ottieni valutazione professionale con descrizione, prezzo e campi pronti…
These projects aren't just code; they're my proving ground, my way of understanding and pushing the boundaries of what AI can do when orchestrated effectively.
🚀 Real-World Apps: From Idea to Production
Beyond npm packages and AI agents, I've shipped 35+ web applications to production. Here are some highlights:
AI-Powered Tools
| App | What it does | Try it |
|---|---|---|
| Remember Me | Voice recordings → structured reminders (Gemini AI) | Live Demo |
| SEO Analyzer | On-page SEO analysis powered by Gemini | Live Demo |
| Promptify | Explore 28 Prompt Engineering frameworks | Live Demo |
| SellSnap | AI instant appraisals for second-hand items | Live Demo |
| GitHub Repo Describer | Auto-generate repo descriptions | Live Demo |
| Prompt Craft | Generate structured C.R.A.F.T. prompts | Live Demo |
🏠 Hospitality Tech (Solving Real Problems in Rome)
Living in Rome, I noticed gaps in the vacation rental industry. So I built tools to solve them:
| Tool | Problem Solved |
|---|---|
| Overbooking Shield | Prevents double bookings via iCal analysis |
| Host Reservation Panel | AI assistant for Airbnb/Booking hosts |
| Tassa Soggiorno | Auto-calculates Rome's tourist tax |
Each started as a problem I wanted to solve, built with the "learn by building" approach.
📦 Open Source: Fastify Plugins
Another crucial part of my journey has been building in public. My npm packages for the Fastify ecosystem:
View all 7 npm packages
| Package | Description | Link |
|---|---|---|
| @fracabu/fastify-api-key | API key authentication with scopes | npm |
| fastify-rfc9457 | RFC 9457 compliant error responses | npm |
| fastify-cache-control | Declarative HTTP Cache-Control headers | npm |
| fastify-webhook-verify | Webhook signature verification (Stripe, GitHub) | npm |
| fastify-i18n-plugin | Internationalization for Fastify | npm |
| @fracabu/env-checkup | Environment variable validation CLI | npm |
| node-test-expect | Jest-like assertions for Node.js native test runner | npm |
Creating and maintaining these packages taught me the full lifecycle of production-ready tools. It's rewarding to know other developers are using what I've built.
💡 Advice for Fellow Self-Taught Developers
If my story resonates with you, here are a few takeaways:
- Embrace Curiosity — It's your most powerful asset
- Build, Build, Build — Practical application beats theory
- Leverage AI Smartly — Use it as a mentor, not a replacement
- Dive into Documentation — Your most accurate textbook
- Share Your Work — Building in public leads to opportunities
- Solve Real Problems — The best projects scratch your own itch
🔮 What's Next?
My journey is far from over. Currently diving deeper into:
- 🔄 Multi-agent orchestration patterns
- 🐍 Machine Learning with Python
- 🌍 Contributing to larger open-source projects
🤝 Let's Connect!
- 🐙 GitHub: @fracabu
- 📦 npm: fracabu packages
- 💼 LinkedIn: Francesco Capurso
What's your unique journey in tech? Whether you're self-taught, career-switching, or just getting started — drop a comment. I'd love to connect!
If you found this inspiring, consider giving it a ❤️ and following for more content on AI agents, open-source development, and the self-taught developer life.
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