Join Dan Vega for the latest updates from the Spring Ecosystem. In this special episode, Dan is joined by Spring expert and author Craig Walls for an exciting AI show and tell segment, where they demonstrate and discuss their favorite AI tools currently transforming their development workflows.Following the show and tell, Craig shares insights from his upcoming Manning book "Spring AI in Action," exploring how developers can build intelligent Java applications using Spring's powerful AI abstractions. The episode wraps up with a preview of their collaborative workshop "Practical AI Integration with Java: A Hands-On Workshop" at dev2next 2025, where they'll teach hands-on AI implementation techniques for Java developers.Whether you're looking to discover new AI tools to boost your productivity or interested in integrating AI capabilities into your Spring applications, this episode offers practical insights and real-world examples from two experts actively working in the AI space.You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.Show NotesMain Topics Discussed1. Craig's Upcoming Book - "Spring AI in Action"Currently available in early access through Manning PublicationsExpected print release: Fall 2025Covers Spring AI development from basics to advanced topicsIncludes chapter on "Evaluating Generated Responses" - testing AI applications2. Dan's New Course Launch"AI for Java Developers" - Introduction to Spring AINearly 6 hours of contentCovers 12-18 months of Spring AI learningJust launched last week3. AI Development Tool Categories DiscussionStandalone Chatbots: ChatGPT, Google Gemini, Anthropic ClaudeInline IDE Assistants: GitHub Copilot, JetBrains AI, Amazon CodeWhispererAgentic AI IDE Environments: Cursor, Windsurf, JuniTerminal-based Agentic CLI Tools: Claude Code, OpenAI Codex, Gemini CLI4. Live DemonstrationsDan: Demonstrated Claude Code CLI tool for project planning and development workflowsCraig: Showcased Embable framework for building goal-oriented AI agents5. Testing AI ApplicationsDeterministic vs non-deterministic testing approachesUsing evaluators for response validationFact-checking and relevance evaluation techniques6. Future of Spring AIAgent framework capabilitiesAgentic workflows vs autonomous planningIntegration with tools like EmbableLinks and ResourcesBooks and CoursesSpring AI in Action (Early Access) - Craig WallsAI for Java Developers Course - Dan Vega (link to be added to show notes)Tools MentionedIDE Assistants:GitHub CopilotJetBrains AI AssistantAmazon CodeWhispererAgentic IDE Environments:CursorWindsurfJetBrains JunieCLI Tools:Claude CodeGemini CLIOpenAI CodexFrameworks and LibrariesSpring AIEmbable - Rod Johnson's agent frameworkSpring BootSpring ShellContact InformationCraig Walls: Habuma.com - Links to all social mediaDan Vega:Spring Developer Advocate at BroadcomLearn more at https://www.danvega.devUpcoming Eventsdev2Next Workshop: 8-hour Spring AI workshop with Dan Vega and Craig Walls (Colorado Springs)Key Takeaways"You are the pilot, not the passenger" - Stay in control when using AI development toolsStart with simpler tools like Copilot before moving to full agentic environmentsProper testing strategies are crucial for AI applicationsCode reviews and CI/CD pipelines are more important than ever with AI-generated codeThe AI development tool landscape is rapidly evolving with new categories emergingThis episode was recorded live on Monday, June 30, 2025. Watch the replay on the Spring Developer YouTube channel or listen wherever you get your podcasts.
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S4E17 - Spring AI + Google Gemini: Beyond the Demo
Join Dan Vega with special guest Dan Dobrin, App Architect at Google, as they explore enterprise-ready Spring AI development using Google Gemini models. This episode covers the latest Spring AI features, caching strategies, unified SDK capabilities, and AI agents—moving beyond simple demos to real-world production implementations. Learn how to build fast, enterprise-grade AI applications with Spring and Google's powerful Gemini models.Show Notes:Dan Dobrin on Twitter / XDan Dobrin on LinkedInBuilding Agentic AI the Google Way: MCP + A2A + ADK for JavaGoogle Cloud and Spring AI 1.0
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S4E16 - Spring gRPC with Dave Syer
Join Dan Vega and DaShaun Carter for the latest updates from the Spring Ecosystem. In this episode, Dan and DaShaun are joined by Spring team member Dave Syer to explore the official Spring gRPC project. At the end of this episode, you will understand how Spring gRPC provides a Spring-friendly API for developing high-performance gRPC applications, including server and client autoconfiguration, Spring Boot integration, and streamlined Protocol Buffer handling. The hosts will demonstrate how to build gRPC services with Spring's familiar dependency injection patterns and discuss the benefits of gRPC's HTTP/2-based communication over traditional REST APIs. You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.Show Notes: Dave Syer on GitHubDave Syer on BlueskySpring gRPC
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S4E15 - Exposing the Interview Process with Taylor Desseyn
Join Dan Vega and DaShaun Carter as they welcome Taylor Desseyn, VP of Global Community at **torc.dev** and founder of Dads in Tech. Fresh from his presentation "Exposing the Interview Process" at Spring I/O 2025 in Barcelona, Taylor shares unfiltered insights from interviewing thousands of engineers and helping hundreds of companies scale their engineering teams. The hosts dive deep into the current job market realities, interview best practices, and how developers can navigate today's challenging hiring landscape. Learn practical strategies to stand out in your job search and discover what's really happening behind the scenes in tech hiring.You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.Show NotesTaylor on LinkedInTaylor on Twittertorc.devDads in TechExposing the Interview Process at Spring I/O
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S4E14 - Spring AI 1.0 GA Release with Mark Pollak and Christian Tzolov
Join Dan Vega and DaShaun Carter as they celebrate a major milestone in the Spring ecosystem with the general availability release of Spring AI 1.0. In this episode, the hosts welcome Spring AI team members Mark Pollak and Christian Tzolov to discuss the incredible journey from conception to GA release. They'll explore the powerful features that make Spring AI the go-to framework for building AI-powered applications, dive into Model Context Protocol (MCP) capabilities, and share exciting insights about what's on the horizon for Spring AI. Whether you're new to AI development or a seasoned practitioner, this episode offers valuable perspectives on integrating AI into Spring applications and the future of enterprise AI development.You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.Show NotesMark Pollak X / TwitterLinkedInChristian Tzoloz X / TwitterLinkedInSpring AI Reference DocsSpring AI 1.0 GASpring AI Community
Join Dan Vega and DaShaun Carter as they explore what’s new in the world of Spring. This is your chance to stay connected to what’s happening with the Spring Framework, related projects, and the community.
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