Introduction Amazon Q Developer is a generative artificial intelligence (AI) powered conversational assistant that can help you understand, build, extend, and operate AWS applications. You can ask questions about AWS architecture, your AWS resources, best practices, documentation, support, and more. Context - how to customize solutions AI generates Amazon Q context enables fine-tuning Amazon Q to generate solutions according to your specific needs. This is how I use it. Overall Context Structure For the greatest flexibility, I manage contexts on three distinct levels:

People say that every challenge we encounter is an opportunity in disguise. That is probably true, but that does not mean it is a good spot to be in. When I decided to offer advisory services on my website, I wanted to implement the payment system in the “standard way.” I resisted the temptation to implement everything myself and researched platforms offering product catalogs and payment integration. I found a solution, integrated it with Stripe and my website, and happily used it for over a year… until this morning.

Introduction Developing an Internet of Things (IoT) solution involves addressing the complexities of backend infrastructure, particularly when the system must accommodate multiple clients or tenants. A fundamental architectural decision concerns whether to prioritize repeatability or scalability in the backend design. This choice carries significant consequences for the efficiency of customer onboarding processes, cloud costs, and the operational overhead associated with system maintenance. In this analysis, I will outline these two architectural paradigms, providing considerations for multi-tenant environments.

Advanced hardware and secure firmware won’t sell your product; exceptional user experience will. I worked with numerous IoT devices that offered great capabilities. Unfortunately, most of those devices had limited functionality - they were designed by engineers for engineers. It was a struggle to make them work the way I needed, even if I knew what I wanted to achieve. Recently, I bought a Ledger Nano device. It has a very limited user interface - a small LCD and two buttons.

Conference Tech of Tomorrow conference focuses on the intersection of blockchain, AI, and the Internet of Things, with a strong focus on practical, real-world applications. It consists of in-depth case studies, live demos, hands-on workshops, and engaging discussions. I had the pleasure of participating in a panel discussion: “Securing the Future: Enhancing Data Integrity, Security, and Transparency in the age of Blockchain, AI, and IoT innovation.” During this panel, we explored the challenges and solutions for securing data in interconnected systems, focusing on IoT, edge computing, and system integration.

Intro I’ve been using Amazon Q for command line for a few days building AWS IoT solutions… Summary: It is one of the best AI tools for backend development I’ve ever tried! More detailed thoughts and experiences Amazon Q chat, used from the command line, fluently navigates between the local source code and existing AWS infrastructure, providing end-to-end visibility and suggesting tailored modifications. I used various AI tools for AWS IoT development and must admit that Q is clearly the best option based on my experience.