24 Days of Coding: An 86-Hour Roadmap from Truck Driver to Web Engineer

1. Introduction Hello from Japan! 🇯🇵 I am an active truck driver in Japan self-studying Python and Web technologies, leveraging my logistics domain knowledge to transition into a Web Engineer. (English is my second language, but I'm excited to share my progress with developers worldwide!) I started my learning journey on May 12, 2026. As of June 4, I have logged 24 days and 86 cumulative hours of study. This article documents my progress, learning roadmap, and project milestones chronologically. Check out my GitHub here👈️ (Note: Most repository documentation and commit messages are currently in Japanese.) 2. The 86-Hour Learning Roadmap A quick breakdown of my 86 hours: 80 hours were dedicated to hands-on development and implementation, and 6 hours were spent on environment configuration, documentation, and workflow optimization. Stages 1–3: Automation & Scraping Projects ① Fundamentals & Web Scraping (25 hours) Learned core Python syntax and built automated scripts to collect targeted web data. ② Puoppo Auto-Analysis System (15 hours) Implemented automated poll data retrieval and AI-powered text analysis on Lubuntu. ③ Bakery Sales Aggregation System (12 hours) Integrated web scraping with automated Excel processing to streamline sales data aggregation. Stage 4: Practical Ruby on Rails ④ rails_practice (23 hours) Explored MVC architecture in Ruby on Rails. Practiced configuration management and Git rebasing to build a solid foundation in web framework operations. Stage 5: Real-World System Integration ⑤ hiroshima-logistics-hub (5 hours) Built a web system to aggregate real-time weather and traffic conditions in the Hiroshima area. Technical Fix : To bypass build crashes on Render (Free Tier / 512MB RAM), I precompiled assets locally and configured SQLite3 database storage in writable directories before deployment. 3. Key Takeaways for Resource-Constrained Development Through these projects, I established three operational principles for developing efficiently within