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Salesforce Developer Podcast

Podcast Salesforce Developer Podcast
René Winkelmeyer
Tune in to the Salesforce Developer Podcast to hear short and insightful stories for developers, from developers. Join Joshua Birk, Developer Evangelist and Go...

Available Episodes

5 of 99
  • 229: AsyncAPI and Event-Driven Architecture Using MuleSoft with Alex Martinez
    Join us as we discuss event-driven architectures (EDA) with MuleSoft's latest capabilities with Alex Martinez. The discussion will explore the integration of AsyncAPI specifications, which streamline the transition from REST to event-driven systems, enabling high-volume asynchronous communications and improved API lifecycle management. The conversation highlights tools like Anypoint Studio and Anypoint Code Builder that simplify complex integrations using messaging technologies such as Kafka, Solace, and Salesforce Platform Events. Whether new to EDA or an experienced developer, this episode is packed with valuable information and resources to elevate integration strategies and deepen understanding of the future of software development. Show Highlights: Transitioning from REST to event-driven systems using async API specifications. Exploration of MuleSoft tools like Anypoint Studio and Anypoint Code Builder for API design and management. Benefits of using MuleSoft for integrating messaging technologies like Kafka, Solace, Anypoint MQ, and Salesforce Platform Events. Importance of API governance for maintaining compliance and consistency across specifications. Links: Build Real-Time AI Experiences with MuleSoft - https://www.salesforce.com/plus/experience/dreamforce_2024/series/it_at_dreamforce_2024/episode/episode-s1e24 AsyncAPI Support to Implement Event-Driven Architecture - https://docs.mulesoft.com/release-notes/platform/event-driven-api
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  • 228: Retrieval Augmented Generation using Data Cloud with Dave Norris
    Australia's Dave Norris joins us in exploring the cutting-edge techniques of Retrieval Augmented Generation (RAG) and hybrid search methods. We delve into the limitations of traditional keyword searches in the face of unstructured data like PDFs and emails, which make up a significant portion of enterprise data. By using Data Cloud and hyperscalers like Google, Amazon, and Microsoft, Dave shows how to transform chaotic data into intelligent search engines. The discussion highlights the role of context in AI-generated responses, illustrating this with the challenge of summarizing meetings without enough information. The episode also examines the potential of hybrid search technologies such as Agentforce and vector search, emphasizing the importance of prompt engineering in refining data retrieval. Through examples from Dreamforce and fictional companies, listeners gain insights into how these technologies enhance user experiences by combining semantic and keyword searches, showcasing the advanced potential of modern search innovations. Show Highlights: Discussion on the limitations of traditional keyword searches in data retrieval. Insights into the use of Data Cloud for managing unstructured data via hyperscalers like Google, Amazon, and Microsoft. Examination of hybrid search techniques, including Agentforce and vector search technology. Focus on the importance of prompt engineering to enhance AI responses and prevent hallucinations. Introduction to hybrid search, combining vector and keyword search for improved precision and relevance. Links: Using Retrieval Augmented Generation in Data Cloud — https://help.salesforce.com/s/articleView?id=sf.c360_a_rag_overview.htm&type=5
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  • 227: Dreamforce 2024 with Philippe Ozil
    In this episode, we dive into the latest innovations and updates unveiled at Dreamforce 2024 with Philippe Ozil. We explore the refreshed Lightning Design System (SLDS2), which enhances accessibility and themability without disrupting customizations. Discover the game-changing Local Development (beta), offering real-time component updates and seamless page state maintenance. We also highlight new mobile capabilities, including native feature plugins and the empowering AgentForce suite designed for specialized AI agents. Learn about significant advancements in Salesforce tooling, the benefits of local development without deployment, and the introduction of Core Cloud, a new sample app rich with educational resources. Don't miss insights from the latest developer keynote and future trends in Data Cloud and Data Graphs. Show Highlights: Deep dive into Lightning Web Components Local Development version 2. New mobile capabilities and native feature plugins. Advancements in Salesforce tooling, such as local development benefits without deployment to an org and hub module reloading. Exploration of Core Cloud, a new sample app for developers focusing on agents, prompts, and Data Cloud. Overview of Data Cloud features, new color themes, and future trends Links: Developer Keynote: Build the Future with the Platform - https://www.youtube.com/watch?v=80reYTg9xXI LWC Local Development Server (Beta) - https://developer.salesforce.com/docs/platform/sfvscode-extensions/guide/lwclocaldev.html
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  • 226: Winter ’25 Release Highlights with Mohith Shrivastava
    In this episode, we welcome back Mohith Shrivastava to delve into the groundbreaking features of the Salesforce Winter '25 release. We discuss Agentforce, Salesforce's innovative AI agentic solution that leverages tools like Flows, Apex, and Prompt Builder to autonomously execute tasks. The episode also highlights advancements in Agent Builder (fka Copilot Builder) for creating assistive and autonomous agents, and the introduction of Agentforce for Developers. Further, we explore significant updates in Salesforce Data Cloud, including Retrieval-Augmented Generation (RAG) capabilities, vector search, and the much-anticipated beta release of Data Cloud sandboxes. Finally, we touch on the new local development feature for Lightning Web Components (LWC) that provide real-time previews and rapid iterations. Tune in to learn how these Winter '25 updates can elevate your Salesforce development and data management capabilities. Show Highlights: Enhancements to Copilot Builder with new topic-based action categorization for assistive and autonomous agents. A chat agent for Salesforce developers to explain code, write test cases, and generate documentation. Upcoming features like Data Cloud sandboxes for secure testing and new dependencies between Data Cloud and Salesforce platform packages for ISVs. Lightning Web Components (LWC) advancements, including local development for real-time previews and rapid iterations. New Apex feature preventing collection modification during iteration to enhance code stability and consistency. Links: The Salesforce Developer’s Guide to the Winter ’25 Release - https://developer.salesforce.com/blogs/2024/09/winter25-developers
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  • 225: Einstein Models API with Alba Rivas
    Alba Rivas, a passionate Salesforce Developer Advocate, shares her insights on the power of Salesforce's Models API. Discover how this API enables developers to seamlessly integrate large language models via REST API or Apex, eliminating the need for custom code or prompt templates. Alba highlights the critical role of the Einstein Trust Layer in ensuring data security, compliance, and efficient integration with external models. Gain knowledge on AI implementation, including maintaining audit trails, monitoring data for toxicity, and using human feedback for refining AI systems. We also explore the flexibility and capabilities of the Models API, offering a centralized interface for developers, along with resources like Postman collections, codeLive sessions, and an upcoming Trailhead module to support your journey in mastering generative AI with Salesforce. Show Highlights: Discussion on the Einstein Trust Layer's role in ensuring security, data masking, and compliance for generative AI applications. Comparison between using prompt templates and the Models API. Importance of maintaining an audit trail. Focus on the value of human feedback in refining AI systems and the benefits of a centralized interface for developers. Insights into practical AI implementation and the flexibility offered by the Models API. Links: Postman Collection - https://www.postman.com/salesforce-developers/workspace~34382471-0c97-40e5-a206-f947271665c4/collection/onih7sc/models-apis-beta Einstein Models API Documentation - https://developer.salesforce.com/docs/einstein/genai/guide/models-api.html codeLive: Exploring the New Models API (Beta) - https://www.youtube.com/watch?v=hf95_ghGeNI
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About Salesforce Developer Podcast

Tune in to the Salesforce Developer Podcast to hear short and insightful stories for developers, from developers. Join Joshua Birk, Developer Evangelist and Godfather of Trailhead, as he hosts developer trailblazers from around the world as they share their stories of learning, building and integrating with Salesforce.
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