Join hosts MJ Zulueta and Tamara Gagliardi as they explore AI-DLC with guest Titi Ogundeji, who reveals how this transformative approach positions AI as a central collaborator throughout the entire software development lifecycle. Discover how AI-DLC differs from traditional SDLC methodologies and learn practical implementation strategies that can get your team started in just one day.

Join AWS experts Jane Ridge, Brittany Wolfrom, and Fathima Kamal as they explore Amazon Nova Act—AWS's breakthrough service for building reliable AI agents that automate browser-based workflows at enterprise scale. Through live demonstrations and practical use cases, discover how this AI-powered browser automation adapts to changing web interfaces and learn deployment strategies for QA testing, data extraction, and workflow automation.

Join AWS She Builds Tech Skills hosts, Brittany Wolfrom and Jane Ridge for an exclusive deep-dive into generative AI innovation with Parmida Atighehchian and Smita Bailur, expert builders and advisors from the AWS GenAI Innovation Center. Discover how leading organizations are successfully implementing AI solutions across industries and learn practical strategies you can apply today.

Our guests bring hands-on experience architecting and deploying GenAI applications for enterprise clients. They’ll share current industry trends, demonstrate real-world solutions, and provide actionable guidance for building your own GenAI applications on AWS.

What You’ll Walk Away Learning: 🎯

🏢 AWS GenAI Innovation Center Deep-Dive - How the team operates as both advisors and builders, working directly with organizations to solve complex challenges

📈 Industry Trends & Patterns - Latest GenAI developments and adoption patterns across sectors like healthcare, finance, and retail

💡Real Solutions - Case studies showing how GenAI solves actual business problems and drives measurable outcomes

⚒️ Live Demo - Hands-on demonstration of GenAI application development and deployment best practices

🎯 Implementation Strategy - Key architectural considerations, cost optimization, and scaling strategies for GenAI solutions

⚖️ Expert Best Practices - Technical and strategic recommendations from practitioners who’ve built dozens of production GenAI systems

Perfect for: Developers, architects, product managers, and technical leaders interested in practical GenAI implementation strategies and AWS AI/ML services.

Explore how you can leverage Kiro and Q CLI to elevates the quality of what you are building in a more efficient way. On this episode we will walk through a real-world example showing how Kiro's unique design → requirements → tasks workflow can be implemented. You will learn how Kiro breaks down complex specs into manageable, precise tasks while maintaining a holistic view of the project. The Q CLI integration showes how seamlessly these components work together, making it feel like having an expert architect guiding every decision

Key takeaway: This isn't just about coding faster—it's about building better. And it can be applied to any industry and scope of work.

Discover the cutting-edge world of Model Context Protocol (MCP) servers and how they're revolutionizing AI code assistants!

Join the AWS PACE team as they share their incredible journey from internal hackathon project to releasing 30+ open source MCP servers that are transforming how developers interact with AI assistants like Amazon Q Developer.

What You'll Learn:

🔧 Model Context Protocol Fundamentals - Understanding MCP and why it's the future of AI assistant integration

🚀 Real-World MCP Development - Live demos of AWS MCP servers in action with code assistants

📈 Open Source Success Story - How a team hackathon became a viral open source project featured in AWS blogs

⚡ AWS Service Integration - See MCP servers connecting AI assistants to AWS services seamlessly

🎯 Best Practices & Lessons Learned - Practical insights from building and maintaining 30+ MCP servers

🌟 Emerging Technology Focus - How the PACE team identifies and builds the next generation of developer tools

Featured Team:

Meet Alexa Perlov, Anita Lewis, and Jimin Kim from the AWS PACE team who've made MCP development their specialty, with extensive open source experience including their GenAI constructs library and numerous community contributions.

Perfect for: Developers interested in AI assistant extensibility, open source contributors, AWS developers looking to enhance their AI workflows, and anyone curious about the future of developer tooling and AI integration.

Join us for a technical deep dive with Piyali Kamra, Senior Solutions Architect at AWS, as we dive into the powerful world of agentic AI using Strands Agents — a modern, flexible framework that enables developers to orchestrate intelligent workflows faster than ever.

In this session, we'll introduce what Strands Agents are and how they operate within the broader agentic AI ecosystem. You'll learn how to set up your development environment with minimal effort, and we’ll guide you through building a functional demo agent workflow from scratch using AWS tools. Along the way, we’ll share practical tips for scaling and customizing your agents to suit a wide range of use cases.

Join us as we walk through how to quickly spin up a Strands-based agent workflow, showcasing real-world scenarios and hands-on development techniques. Whether you're a builder experimenting with AI or a developer exploring automation with purpose-driven agents, this episode will equip you with practical insights to get started quickly.

#AWSSheBuildsCommunity #DevOps #AIAgents #OpenSource #WomenInTech #CloudComputing

Join us for a technical deep dive with Clare Liguori, Senior Principal Engineer at AWS, as she shares insights from her decade-long journey building critical infrastructure at AWS. Learn how Amazon approaches CI/CD at scale, and discover Strands Agents, an innovative open-source SDK that's revolutionizing how developers build AI agents.

Clare reveals how Strands emerged from internal AWS teams' needs and evolved into a powerful tool that's already accelerating development for Amazon Q Developer, AWS Glue, and VPC Reachability Analyzer teams. From reducing agent development time from months to weeks to empowering developers with model-driven approaches, discover how AWS is shaping the future of AI agent development.

Whether you're interested in DevOps practices, AI agent development, or engineering leadership, this episode offers valuable insights into building and scaling transformative technology.

Transform your development process with Amazon Q Developer! In this episode of AWS She Builds Tech Skills, join hosts Tamara Gagliardi and Kandyce Bohannon as we demonstrate how to evolve a basic library management system into a user-friendly application using design-driven development principles. Watch as Amazon Q Developer intelligently adapts to project requirements, maintains consistent patterns, and turns design concepts into working code. Perfect for developers looking to move beyond “vibe coding” and create more intentional, user-focused applications with AI assistance. Join us for this interactive session where audience suggestions shape the development in real-time!