Technical references and guides based on real production work. Each document covers patterns, tools, and configurations I use across client projects — not theoretical best practices, but battle-tested approaches that work at scale.
REST API design, webhook architectures, data sync strategies, and error handling for connecting business systems with Python.
Server setup, Docker, Nginx, Gunicorn, SSL, PostgreSQL, and monitoring. From development to production.
Complete reference of Python, Django, AI, DevOps, and messaging tools used in production projects.
Developers evaluating my technical approach, clients who want to understand how their project is built, and anyone researching Python/Django best practices for production systems.
Yes. These references reflect the tools and patterns I use in current projects. They are updated whenever I adopt new tools or change my approach based on production experience.
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