About AI Tech Notes

AI Tech Notes is a practical tech blog focused on AI, ChatGPT, Claude, programming, and cloud technologies. Our motto is "working code and real-world knowledge" — every article is designed to help engineers solve problems they face in their daily work.

About the Author

K

Kazuma

Software Engineer · Blog Author & Operator

I'm Kazuma, a software engineer with hands-on experience in web application development and cloud infrastructure. I started AI Tech Notes to share the practical knowledge I've gained through building production systems — the kind of insights that are hard to find in official documentation alone.

Areas of Expertise

  • Cloud & Serverless: Designing and operating serverless architectures on AWS (Lambda, DynamoDB, S3, CloudFront, API Gateway)
  • Backend Development: Python and TypeScript for web applications, REST APIs, and automation scripts
  • Generative AI: Building development workflows with Claude, ChatGPT, and other LLMs — including prompt engineering, API integration, and AI-assisted coding
  • DevOps & Infrastructure: Terraform, Docker, CI/CD pipelines, and monitoring

Feel free to reach out at contact@aitechnotes.com for questions, feedback, or collaboration opportunities.

What We Cover

AI Tech Notes publishes articles across 10 categories:

  • AI: Claude, ChatGPT, LLMs, prompt engineering, AI agents, RAG, and AI monetization
  • AWS: Lambda, S3, DynamoDB, CloudFront, IAM, cost optimization
  • Python: Web development, data processing, async programming, virtual environments
  • DevOps: Docker, Kubernetes, GitHub Actions, CI/CD, Terraform
  • Frontend: React, Next.js, TypeScript, CSS, JavaScript
  • Git: Workflows, conflict resolution, advanced commands
  • Database: MySQL, PostgreSQL, MongoDB, Redis, SQLite
  • Web: REST API design, performance, Chrome DevTools, VS Code
  • Office: Excel, Google Sheets productivity tips
  • Tech: Security, compliance, architecture, monitoring

Content Policy

Every article on AI Tech Notes follows these editorial standards:

  • Practical focus: Real-world solutions you can use immediately
  • Working code examples: Every tutorial includes tested, runnable code
  • Test environment disclosed: We specify the OS, language version, and tool versions used
  • Official documentation links: Every article links to authoritative sources
  • Common pitfalls covered: We highlight errors and gotchas so you don't waste time debugging
  • Beginner-friendly: Technical terms are explained in context

Publishing Schedule

New articles are published every Monday, Wednesday, and Friday. We also regularly update existing articles to keep them current with the latest tool versions and best practices.

By the Numbers

  • 180+ articles published and growing
  • 10 categories covering the full modern tech stack
  • Updated 3 times per week with fresh, practical content

License

All content on AI Tech Notes is published under the Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to share and adapt the content with appropriate credit. We welcome use in educational and professional contexts.