The latest articles on DEV Community by Maurice Putinas (@maurice_putinas_bc9141cbc). https://dev.to/maurice_putinas_bc9141cbc https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3994550%2F60e2aebe-3c3a-4a46-bb4d-00b6b18f06d7.jpeg https://dev.to/maurice_putinas_bc9141cbc en Maurice Putinas Sat, 20 Jun 2026 21:23:29 +0000 https://dev.to/maurice_putinas_bc9141cbc/from-the-factory-floor-to-ai-developer-tools-that-run-in-my-own-plant-1f58 https://dev.to/maurice_putinas_bc9141cbc/from-the-factory-floor-to-ai-developer-tools-that-run-in-my-own-plant-1f58 <p>For 13 years I have worked in production at a steel-tube manufacturer. Not in an office — on the floor, with the machines, the night shifts, the handovers at 6 a.m.</p> <p>A few years ago I started building software in my free time. Not tutorials for their own sake — tools that solve problems I actually see every day.</p> <h2> Why a factory worker writes code </h2> <p>In production you learn one thing fast: it does not matter what looks good on a slide. It matters what works at shift handover. That perspective turned out to be my biggest advantage as a self-taught developer — I know the problem before I write the first line.</p> <h2> What I have built </h2> <p><strong>PIPEZ — a shift &amp; part-count PWA.</strong> Offline-capable, running on Cloudflare Workers + D1, live in production to capture shift and piece-count data that used to live on paper.</p> <p><strong>A tool-management app.</strong> A multi-user client-server app with optimistic concurrency and a local AI assistant, used daily in the office to manage the lifecycle of dies in tube production.</p> <p><strong>DeepCode — an agentic AI coding client.</strong> Electron + React + TypeScript, with its own tool loop, a swarm mode, and CI/tests. The project I am proudest of.</p> <p>Plus multi-agent systems, RAG pipelines, and n8n automations that run every day.</p> <h2> The stack </h2> <p>Python/FastAPI, TypeScript/React, Node, Docker, PostgreSQL + pgvector, Cloudflare Workers, MCP, computer vision.</p> <h2> Writing in public </h2> <p>I will be writing here about the bridge I keep coming back to: real production experience plus building with AI. If you are automating something messy and real, I would love to compare notes.</p> ai automation buildinpublic n8n