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Is your AI development stack quietly trapping you in a state of "microgravity" vendor lock-in?

In this episode of Agents of Dev, hosts Mitch Ashley and Brad Shimmin break down why the latest wave of AI engines—headlined by Anthropic’s Claude Opus 4.8—are evolving into fully integrated operational systems rather than standalone models.

Brad reveals how he used Claude Code to blueprint a complex 2,800-line Python migration in just five turns, shifting the architecture from a simple lift-and-shift to an optimized, AI-forward upgrade.

The duo also dives into Starburst’s decentralized "catalog of catalogs" approach to data gravity, Harness's savvy acquisition of CodeCov to eradicate verification debt at the point of origin, and a game-changing open-source tool called Graphify that spins up queryable context graphs for agentic workflows with a single terminal command.

This and more on Agents of Dev, part of The Futurum Group Podcast Network.

#ClaudeOpus #Anthropic #AgenticAI #Graphify #DevSecOps #DataEngineering #AIPlatform #SoftwareArchitecture #AgentsOfDev

Email your questions and topics to the podcast here.

AI agents are completely transforming how enterprise data moves, but running them shouldn't break your token budget.

In this episode of Agents of Dev, Mitch Ashley and Brad Shimmin break down the massive infrastructure shifts coming out of Microsoft Build and Snowflake Summit. Discover how tools like Microsoft Fabric IQ, Project Rayfin, and Snowflake's "Coco" (Cortex Code) ecosystem are elevating metadata into actionable ontologies, shrinking token counts, and cutting operational costs.

They also discuss Anthropic’s unsettling Claude 4.8 self-awareness disclosures, evaluates Google’s incredibly fast, encoder-free Gemma 4 12B local model, and extracts a crucial software design lesson from Blue Origin’s recent launchpad failure.

This and more on Agents of Dev, part of The Futurum Group Podcast Network.

#AgentsofDev #AIAgents #GraphDatabases #DORAReport #AIFinOps #TokenEconomics #RedHatSummit #SAPSapphire #DevOps

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Google is rebuilding its ecosystem around Anti-Gravity 2.0 and enterprises shifting toward smaller, localized models like Gemma 4.

In this episode of Agents of Dev, Mitch Ashley and Brad Shimmin break down the reality behind the "10x AI productivity" hype and explore why the industry is shifting toward "token economics" cost management.

The duo analyzes the massive announcements from Google I/O, including Gemini 3.5 Flash, Gemma 4 open-weight models, and the evolution of Anti-Gravity 2.0 into a vertically integrated, multi-surface agentic platform.

They also tackle the trend of "MCP washing" following Model Context Protocol server launches from Alteryx and Informatica, look at Dell's new desk-side agentic hardware, and share hands-on strategies for parallel multi-stream LLMs and localized graph architectures using DuckDB and pandas.

This and more on Agents of Dev, part of The Futurum Group Podcast Network.

Email your questions and topics to the podcast here.

As enterprises rush to deploy autonomous AI agents, many are waking up to tens of thousands of dollars in unexpected API bills, proving that the shift to agentic AI is as much an economic challenge as it is a technical one.

In this episode of the Agents of Dev podcast, Mitch Ashley and Brad Shimmin break down the massive architectural shifts hitting the software development lifecycle, highlighting why this has officially become the year of the graph database for agentic context.

They dive deep into the latest DORA report to explore the infamous "J-curve" of AI productivity, explaining why "reclaimed capacity" is the true ROI metric organizations must track.

Finally, Mitch and Brad share boots-on-the-ground recaps from SAP Sapphire and Red Hat Summit, unpacking everything from the "metal-to-agent" infrastructure stack and open-weight models to breakthrough AI FinOps tools like Revenium and G-brain built to tame runaway token economics.

This and more on Agents of Dev, part of The Futurum Group Podcast Network.

#AgentsOfDev #AIAgents #GraphDatabases #DORAReport #AIFinOps #TokenEconomics #RedHatSummit #SAPSapphire #DevOps

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What happens when your AI agent decides to delete your production database because it was "pretty sure" it wasn't necessary?

In this episode of Agents of Dev, Mitch Ashley and Brad Shimmin dive deep into the shifting landscape of enterprise AI, starting with why "naive RAG" is failing practitioners and how Graph RAG and context engines (like the newly unveiled Loveless AI) are providing the deterministic context businesses actually need.

They analyze a viral cautionary tale of a rogue AI agent that deleted a production database, highlighting the desperate need for an Agent Control Plane and robust governance. The duo also explores the evolution of the developer's "work surface," from the agentic shifts in Cursor 3.2 to the surprisingly powerful enterprise productivity of Amazon Q.

Whether you're building data estates with DuckDB or navigating the vertically integrated stacks of Google and AWS, this episode covers the "art of the doable" in the age of agentic development.

This and more on Agents of Dev, part of The Futurum Group Podcast Network.

#AgentsofDev #AI #GenerativeAI #AgenticDev #SoftwareEngineering #RAG #GraphRAG #AgentsOfDev #DevOps #AIInfrastructure #DataEngineering #AmazonQ #CursorIDE

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The "open table format wars" are officially over, but a new era of vertically integrated AI stacks is just beginning.

In this episode of Agents of Dev, Mitch Ashley and Brad Shimmin dive deep into the massive wave of announcements from Google Cloud Next, focusing on the shift from systems of intelligence to "systems of action."

Brad breaks down why Databricks embracing Apache Iceberg v3 is a game-changer for data portability and how Google’s new Agentic Data Cloud—powered by Spanner Graph and a new "Knowledge Catalog"—is turning raw object storage into self-enriching reasoning engines. Meanwhile, Mitch puzzles over Elon Musk’s SpaceX/Cursor acquisition and proposes a new framework for the emerging AI stack.

From "vibe coding" your way to Mars to the controversial rise of the Model Context Protocol (MCP) as the universal access layer, this conversation explores how the industry is optimizing through abstraction to give AI true agency.

This and more on Agents of Dev, part of The Futurum Group.

#GoogleCloudNext #AI #DataEngineering #GenerativeAI #Databricks #CloudComputing #TechPodcast #AgenticAI #OpenSource #DataLakehouse

Email your questions and topics to the podcast here.

In a world where AI-driven security can find a million vulnerabilities in minutes, "business as usual" for developers is officially dead.

In this episode of Agents of Dev, Mitch Ashley and Brad Shimmin of The Futurum Group dive into the rapid evolution of the software lifecycle. They explore how Model Context Protocol (MCP) is revitalizing the mainframe by bridging the skills gap and acting as the "can opener" for legacy systems.

Brad shares his journey of going "Full YOLO" with agentic development in the Signal project, explaining why high-order reasoning is changing how we maintain complex Python codebases.

The duo also tackles the "Grep vs. RAG" debate, examining why simplicity and determinism often beat complex semantic searches. Finally, they discuss the security fallout of Anthropic’s Mythos model and look to the stars to discuss the "silent failure" engineering of NASA’s Artemis II mission.

This and more on Agents of Dev, part of The Futurum Group.

#AgentsofDev #AgenticAI #DevOps #Mainframe #CyberSecurity #SoftwareEngineering #MCP #RAG #ArtemisII #GenerativeAI #TechPodcast

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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