AWS Hero Linda Mohamed: Juggling Cloud, Community & Multi-Agent AI скачать в хорошем качестве

AWS Hero Linda Mohamed: Juggling Cloud, Community & Multi-Agent AI

What if the best way to build something was to commit to presenting it before it even exists? That's the idea behind conference-driven development — and it's how Linda Mohamed has consistently turned half-formed ideas into real projects, real talks, and real customers. In this episode, Romain sits down with Linda Mohamed: AWS Community Hero, User Group Leader, Chairwoman of the AWS Community DACH Association (Germany, Austria & Switzerland), and independent cloud consultant based in Vienna. Linda started as a Java developer in on-premises enterprise environments, discovered Lambda while building an Alexa skill for a smart home product, and has since built multi-agent AI systems and an AI-powered video pipeline now running with five media customers — all while being one of the most energetic contributors in the AWS community. Oh, and she juggles. She literally brought the juggling balls to the recording. It's a perfect metaphor for how she operates. This one's a lot of fun. Don't miss it. 🗣️ In this episode: From Java developer to AWS Hero: Linda's origin story Her first AWS touch point: Alexa, Lambda & a smart home product Romain's Alexa story: commanding a networking device with a Java skill (and going viral 😄) The "cloud cost adventure" — running a pipeline all weekend without budget alerts 😅 The juggling ball ML project: her first real cloud project, and how it led to conference-driven development 🤹 Conference-driven development: how to validate ideas by committing publicly Building Otto: a multi-agent Slack bot with Crew AI, LoRA fine-tuning & Amazon Bedrock AgentCore The AI video analysis pipeline now used by 5 media customers Vibe coding vs. spec-driven development — when each makes sense Using Kiro + MCP servers for spec-driven development The one prompt that catches most AI coding errors: "Are you sure about that?" Why Clean Code principles still apply to agent architectures Book picks: The Phoenix Project & Clean Code 🔗 Resources mentioned: Linda Mohamed on LinkedIn →   / linda-mohamed   Amazon Bedrock AgentCore → https://aws.amazon.com/bedrock/agents/ Building Production-Ready AI Agents (Danilo Poccia) → https://dev.to/aws/building-productio... Visualizing AI Agent Memory (Danilo Poccia) → https://dev.to/aws/visualizing-ai-age... Kiro IDE → https://kiro.dev Amazon Q Developer → https://aws.amazon.com/q/developer/ Crew AI → https://www.crewai.com/ Terraform AWS modules (Anton Babenko) → https://github.com/terraform-aws-modules 📚 Books recommended: The Phoenix Project – Gene Kim → https://www.amazon.com/Phoenix-Projec... Clean Code – Robert C. Martin → https://www.amazon.com/Clean-Code-Han... ⏱️ Chapters: 00:00 Introduction 01:35 Linda's background & self-employment journey 03:40 From Java developer to cloud: the pivot 05:00 First AWS touch point: Alexa, Lambda & smart home 09:00 Romain's Alexa story 10:20 The first conference talk & cloud cost adventure 13:58 The juggling ball ML project 🤹 19:10 Advice for developers new to AWS 20:40 First AWS service to try as a developer 23:10 Infrastructure as code & Terraform 25:00 Conference-driven development explained 27:10 Building Otto: multi-agent Slack bot 29:50 The AI video analysis pipeline 36:40 Community as content marketing 41:40 AI coding tools: Kiro, Amazon Q Developer & vibe coding 51:50 Spec-driven development in practice 58:00 Domains & ideas (she has 20–30 of them) 59:00 Book recommendations 01:03:30 Next guest recommendation: Chris Williams 01:04:46 Wrap-up The AWS Developer Podcast explores the future of software development on AWS — through real stories from builders, community leaders, and innovators. 🔔 Subscribe so you don't miss new episodes. 📺 More episodes on the AWS Developer Channel. #AWS #ServerlessDevelopment #AWSCommunity #CloudDevelopment #AWSHero #MultiAgentAI #AmazonBedrock #Kiro #SpecDrivenDevelopment #ConferenceDrivenDevelopment #Lambda