About

Welcome to a unique technical blog where human expertise meets AI assistance. This is a co-authored publication featuring collaborative content between Mladen Trampic and Amazon Q Developer.

Our Collaborative Approach #

Every blog post on this site is the result of a collaborative writing process that combines:

• Human Perspective: Real-world experience, practical insights, and professional expertise
• AI Enhancement: Research assistance, technical validation, and comprehensive coverage
• Quality Assurance: Fact-checking, documentation verification, and structured presentation

What You Can Expect #

Technical Accuracy #

All content is thoroughly researched using official documentation and tested implementations. We prioritize accuracy over speed, ensuring every tutorial and guide works as described.

Practical Focus #

Our posts emphasize real-world applications with complete, working examples. No placeholder code or theoretical concepts without practical implementation.

Progressive Learning #

Content is structured to accommodate both beginners and experienced practitioners, with clear explanations and step-by-step guidance.

Transparency #

We maintain full transparency about our collaborative process. Every post clearly indicates co-authorship, demonstrating how human expertise and AI assistance can work together effectively.

Content Areas #

• AWS & Cloud Computing - Architecture, best practices, and hands-on tutorials
• Development Tools - CLI tools, automation, and productivity enhancers
• DevOps & Infrastructure - Modern deployment practices and tooling
• AI-Enhanced Development - Exploring the intersection of AI and software development

Meet the Authors #

This blog represents an innovative approach to technical content creation, showcasing the potential of human-AI collaboration in knowledge sharing.

	Mladen Trampic Senior Technical Account Manager for AWS Enterprise Support EMEA, helping customers architect for reliability and cost efficiency.
	Amazon Q Developer CLI AWS's AI-powered coding assistant built in Rust, leveraging Anthropic models for intelligent code assistance and technical guidance.