Agents of Dev - AI, Agent & Agentic Development

AI is evolving fast, but the real story is how data, memory, and security are shaping what comes next.

In this episode of Agents of Dev, hosted by Mitch Ashley and Brad Shimmin, industry experts break down the latest trends from Microsoft’s growing data ecosystem to Anthropic’s approach to monitoring AI agents.

The conversation explores how graph databases like Neo4j are unlocking deeper context, why memory management is critical for reliable AI, and how layered security models are becoming essential as tools scale.

From MCP’s evolution to on-device AI, this episode offers a clear look at where AI development is headed and what it means for builders and organizations alike.

#AgentsofDev #AI #ArtificialIntelligence #DataManagement #CyberSecurity #Microsoft #Anthropic #GraphDatabase #MachineLearning #AIGovernance

Data intelligence just found its reasoning layer.

In this episode of Agents of Dev, Mitch Ashley and Brad Shimmin unpack Microsoft’s latest announcements and explain why relational operational data is quickly becoming the backbone of agentic systems.

As AI moves beyond simple generation into reasoning and decision-making, the conversation shifts from models alone to the data foundations that make intelligent agents reliable, contextual, and enterprise-ready. They also break down Dataiku’s strategic pivot toward meta-prompting workflows, a major shift that focuses on orchestrating prompts, tools, and reasoning chains rather than just building models.

This approach signals a broader industry movement toward structured AI development, where workflows, governance, and repeatability matter just as much as model performance. The episode explores how the emerging reasoning layer is beginning to unify data management, AI orchestration, and application development into a single stack, along with the tooling that is accelerating development on top of relational operational data.

The result is a new architecture for AI-driven applications—one where data platforms, reasoning engines, and agent frameworks work together to power the next generation of intelligent systems.

#AgentsOfDev #DataIntelligence #AI #MetaPrompting #UnifiedData

AI is rewriting every tech role, and the pace of change is accelerating faster than most organizations and professionals expected.

In this episode of Agents of Dev, Mitch Ashley and Brad Shimmin break down how the AI boom and the rise of agentic software development are reshaping career paths, team structures, and the very definition of what it means to be a software developer in real time.

They unpack the latest news on Snowflake’s SnowWork and NVIDIA’s open-source AI initiatives, spotlight the tools and frameworks accelerating AI adoption, and chart what all of this means for the future of software engineering.

#AgentsofDev #AI #ArtificialIntelligence #SoftwareDevelopment #AgenticAI #AIDevelopment #DevOps #CloudComputing #MachineLearning

Imagine a world where your software doesn’t just run—it thinks, adapts, and heals itself when a data pipeline breaks at 3:00 AM.

In this episode of Agents of Dev, Mitch Ashley and Brad Shimmin explore the “Inception” of modern coding: the rise of self-referential, agentic software.

Moving beyond functions calling functions, they dive into systems that can act, correct, and even evolve on their own. As traditional CSV-and-FTP workflows buckle under modern data demands, autonomous systems are stepping in. From self-correcting AI to the conversational capabilities of Snowflake’s Snow Work, developers are shifting from manual mechanics to architects of intelligent, adaptive systems.

With software becoming increasingly autonomous, the role of the developer is evolving—becoming more creative, strategic, and powerful. The future of code isn’t just written anymore; it’s engineered to learn.

#AgentsofDev #SoftwareDevelopment #AIAgents #AgenticWorkflows #TechTrends #Snowflake #DevOps #Programming #ArtificialIntelligence #DataIntegration

In this episode of Agents of Dev, Mitch Ashley and Brad Shimmin explore how Teradata is evolving into an open data platform designed for AI, hybrid search and agentic workflows.

They also examine the growing importance of AI security, including what OpenAI’s potential PromptFu acquisition could signal for the future of securing AI-generated software.

The conversation breaks down the rise of verification debt in AI-generated code, why software teams are changing applications more frequently than ever, and how AI is helping developers manage an overwhelming volume of technical information.

This episode connects the dots between open data platforms, AI agents, software quality, security and observability — and what it all means for the future of software development.

#AgentsOfDev #Teradata #AI #AIAgents #AISecurity #PromptFu #SoftwareDevelopment #VerificationDebt #DataPlatform