Loading…

Subscribe to the podcast

Get The Stack Overflow Podcast at your favorite listening service.

“The future is agents”: Building a platform for RAG agents

Douwe Kiela, CEO and cofounder of Contextual AI, joins Ryan and Ben to explore the intricacies of retrieval-augmented generation (RAG). They discuss its origins, the evolution of AI models, the challenges of hallucinations, and the importance of system design. Douwe emphasizes the need for personalization in ranking systems and the role of synthetic data in improving AI models. They also cover the future of RAG, the integration of structured and unstructured data, and the significance of context windows in AI applications.

Salesforce wants to do for agentic AI what they did for SaaS

Christophe Coenraets, SVP of Developer Relations at Salesforce, tells Eira and Ben about building the new Salesforce Developer Edition, which includes access to the company’s agentic AI platform, Agentforce. Christophe explains how they solicited and incorporated feedback from the developer community in building the developer edition, what types of AI agents people are building, and the critical importance of guardrails and prompt engineering.

Is the enterprise (actually) ready for AI?

Maryam Ashoori, Head of Product for watsonx.ai at IBM, joins Ryan and Eira to talk about the complexity of enterprise AI, the role of governance, the AI skill gap among developers, how AI coding tools impact developer productivity, what chain-of-thought reasoning entails, and what observability and monitoring look like for AI.

“Are AI agents ready for the enterprise?”

Deepak Singh, VP of Developer Agents and Experiences at AWS, helps Ryan break down the hype around agentic AI in software development. They cover the definition and real-world functionality of AI agents, how developers can integrate them into existing workflows, and the importance of establishing guardrails to ensure trust and security in agentic AI.

How Google is helping developers get better answers from AI

Today’s guest is Logan Kilpatrick, a senior product manager at Google, who tells Ben about his journey from software engineering to machine learning to product management, all with an emphasis on reducing developer friction. They talk through the challenges of non-determinism in AI models and how Google is addressing these issues with a new feature: Grounding with Google Search. Plus, what working at the Apple Store taught Logan about product management.