The Real Cost of AI Agents: Graph Databases, DORA J-Curve, and AI FinOps | Agents of Dev Episode 23

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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.

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