AWS DevOps & Developer Productivity Blog

Will Matos

Author: Will Matos

Will Matos is a Principal Specialist Solutions Architect at AWS, revolutionizing developer productivity through Generative AI, AI-powered chat interfaces, and code generation. With 25 years of tech experience, he collaborates with product teams to create intelligent solutions that streamline workflows and accelerate software development cycles. A thought leader engaging early adopters, Will bridges innovation and real-world needs.

Building with AI-DLC using Amazon Q Developer

The AI-Driven Development Life Cycle (AI-DLC) methodology marks a significant change in software development by strategically assigning routine tasks to AI while maintaining human oversight for critical decisions. Amazon Q Developer, a generative AI coding assistant, supports the entire software development lifecycle and offers the Project Rules feature, allowing users to tailor their development practices […]

Open-Sourcing Adaptive Workflows for AI-Driven Development Life Cycle (AI-DLC)

AI-Driven Development Life Cycle (AI-DLC) holds the promise of unlocking the full potential of AI in software development. By emphasizing AI-led workflows and human-centric decision-making, AI-DLC can deliver velocity and quality. However, realizing these gains hinges on how organizations effectively integrate AI into their engineering workflows. Through our work with engineering teams across industries, we […]

Mastering Amazon Q Developer Part 1: Crafting Effective Prompts

Mastering Amazon Q Developer Part 1: Crafting Effective Prompts

As organizations increasingly adopt AI-powered tools to enhance developer productivity, your ability to effectively communicate with these assistants becomes a valuable skill. This guide explores how you can craft prompts that deliver accurate, useful results when working with Amazon Q Developer. Your success with Amazon Q Developer depends directly on how well you communicate with […]

How SmugMug Increased Data Modeling Productivity with Amazon Q Developer

This post is co-written with Dr. Geoff Ryder, Manager, at SmugMug. Introduction SmugMug operates two very large online photo platforms: SmugMug and Flickr. These platforms enable more than 100 million customers to safely store, search, share, and sell tens of billions of photos every day. However, the data science and engineering team at SmugMug and […]

AWS announces workspace context awareness for Amazon Q Developer chat

Today, Amazon Web Services (AWS) announced the release of workspace context awareness in Amazon Q Developer chat. By including @workspace in your prompt, Amazon Q Developer will automatically ingest and index all code files, configurations, and project structure, giving the chat comprehensive context across your entire application within the integrated development environment (IDE). Throughout the […]