Agents of Dev - AI, Agent & Agentic Development

Oracle Mission Critical Scale, AI Benchmarking Pitfalls & Cost of Context | Agents of Dev Episode 18

Email your topics and questions to the podcast here. What if the biggest challenge in AI is not building it, but understanding how it changes underneath you? In this episode of Agents of Dev, Mitch Ashley and Brad Shimmin explore Oracle’s latest mission critical data infrastructure advancements alongside the fast evolving realities of AI systems, benchmarking, and cost management. The discussion covers Oracle’s push toward extreme scale and high availability for global workloads, while also unpacking the hidden instability in AI systems caused by shifting APIs, model updates, and opaque pricing changes. They also discuss why transparency is becoming essential for trust, how benchmarking AI models can mislead if not carefully designed, and why developers are increasingly relying on memory management, caching, and local models to control cost and performance. The episode also highlights creative engineering approaches, from simple tools like curl to local AI experimentation, showing how practitioners are adapting to a rapidly changing AI landscape. This and more on Agents of Dev. #AgentsofDev #AI #ArtificialIntelligence #DataManagement #CyberSecurity #Microsoft #Anthropic #GraphDatabase #MachineLearning #AIGovernance

AI Agents, Data, and Security: What’s Changing Right Now | Agents of Dev Episode 17

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

Microsoft’s Agentic Data Stack: Relational Ops, Meta-Prompting & Dataiku’s Reasoning Layer

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 Boom Rewrites Dev Roles: Snowflake SnowWork & NVIDIA Open-Source Rise | Agents of Dev

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

The Recursive Revolution: How Agentic AI is Rewriting the Rules of Code | Agents of Dev

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

Teradata’s AI Shift, PromptFu Rumors & the Rise of Verification Debt

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

AI Observability & IBM DB2 Genius Hub: The Future of IT Modernization

Is your IT ready for the AI-driven future? In this episode of Agents of Dev, Mitch Ashley and Brad Shimmin explore IBM’s DB2 Genius Hub and how it simplifies database operations, accelerates root cause analysis, and helps modernize enterprise IT environments. They go beyond database tools to examine the broader transformation AI is driving across infrastructure, development, and analytics workflows, highlighting the need for “observability native” platforms and new approaches to managing autonomous AI agents. From understanding AI behavior to integrating FinOps practices, this discussion reveals how organizations can modernize without losing operational control and why observability will be at the center of next-generation IT. #AgentsofDev #AgenticAI #AgenticDevelopment #DB2GeniusHub #AIOps #Observability #EnterpriseIT #IBM #DatabaseManagement #FinOps #AITools #ITTransformation

The End of Dumb Storage: AI, Legacy Debt, and the New Era of 3D Policy

The era of 'dumb storage' is officially dead, replaced by a world where AI doesn't just live on your servers—it becomes the operating system for your entire enterprise. In this episode of Agents of Dev, hosts Brad Shimmin and Mitch Ashley dismantle the notion that data management is still just about "dumb storage." The conversation kicks off with a look at the major branding shifts sweeping the industry—highlighted by Pure Storage’s evolution into Ever Pure—signaling a market-wide pivot toward AI-integrated ecosystems. Brad and Mitch tackle the friction between modern AI demands and the weight of legacy systems, offering a counterintuitive take: not every piece of old code needs a rewrite. They explore the rise of "tuning engines" and the shift toward "3D policy," where observability and governance are no longer just checkboxes but the central operating system of the modern enterprise. From the role of cultural nostalgia in tech to the deepening complexity of vendor partnerships, this episode is a masterclass in navigating the intent-driven future of the data stack. #AgentsofDev #AIDevelopment #DataStrategy #AIInfrastructure #LegacyModernization #EnterpriseTech #StorageSolutions #DataGovernance

Agent Interfaces & IDEs: The Future of Code Management | Agents of Dev Ep. 11

AI agents are no longer experimental side projects — they’re reshaping how developers build, manage and ship software. In Episode 11 of Agents of Dev, hosts Mitch Ashley and Brad Shimmin unpack the rapid rise of open-source AI agent frameworks, the acquisition ripple effects across the market, and what it means for IDEs, developer workflows and enterprise control planes. The discussion covers: Why agent interfaces are evolving beyond traditional IDEs The importance of memory and context management Control planes for agentic systems Observability-native software design The gravity of data in an AI-driven world Open-source forks, innovation cycles and collapse of time-to-value As agentic systems mature, developers are moving from writing code line-by-line to orchestrating intent, context and automation across entire stacks. This isn’t just smarter autocomplete. It’s a structural shift in how software gets built. #AgentsOfDev #AIAgents #IDEs #SoftwareEngineering #OpenSource #DevTools #AI #ControlPlane #FutureOfCode

Stop Fearing Change: Modernizing Mission-Critical Apps | Agents of Dev Ep. 10

Enterprise IT doesn’t fail because of technology. It fails because of hesitation. In Episode 10 of Agents of Dev, hosts Brad Shimmin and Mitch Ashley examine why fear of change is often the biggest barrier to modernization — especially when it comes to mission-critical applications. They explore: • Why legacy systems still power global enterprises • The real risk of standing still • How AI and DevOps are reshaping modernization strategies • Protecting stability while evolving infrastructure • Why structured change beats reactive disruption Modernization isn’t reckless transformation. It’s disciplined evolution. If your organization depends on critical revenue-generating systems, the question isn’t whether to change — it’s how to change intelligently. 00:00 Fear as the Real Risk 03:45 Why Mission-Critical Apps Can’t Stand Still 08:20 The Modernization Misconception 13:10 AI’s Role in Developer Experience 18:40 DevOps and Structured Change 24:30 The Cost of Doing Nothing 30:00 Final Takeaways #AgentsOfDev #EnterpriseIT #Modernization #Mainframe #DevOps #AI #DigitalTransformation #SoftwareEngineering #TechLeadership