Loreli Cadapan, VP of product at CloudBees, discusses how the Model Context Protocol (MCP) developed by Anthropic will provide the foundation for reinventing DevOps workflows. Cadapan explains that MCP acts as a bridge between large language models and enterprise DevOps environments, functioning as a kind of control plane. It can connect with different CI/CD tools […]
How AI-Created Code Will Strain DevOps Workflows
Nick Durkin, Field CTO at Harness, explains why as artificial intelligence (AI) tools are relied on more to create code, it’s now only a matter of time before bottlenecks in existing DevOps workflows become exacerbated to the point where they need to be re-engineered. Durkin noted that while AI is generating more code, organizations are […]
AI-Driven Observability: Fast, Context-Rich MCP Servers
Christine Yen—developer-turned-CEO—explains why Honeycomb built an MCP server and why every observability vendor may follow. MCP, short for Model Context Protocol, acts like a concierge for AI agents: It makes a product’s API, telemetry schema and helper tools easily discoverable so large-language models can ask precise questions instead of guessing. Yen sees it as table […]
Context on Tap: How MCP Servers Bridge AI Agents and DevOps Pipelines
Large language models can draft code or move artifacts, but without situational awareness they still trip over the basics. Cloudsmith CEO Glenn Weinstein tells Mike Vizard why a new piece of plumbing—the Model Context Protocol (MCP) server—is quickly becoming table stakes. Think of MCP as a receptionist for AI agents: it answers questions like “Which […]
Is Generative AI Replacing Junior Developers?
Generative AI tools aren’t just autocomplete for code—they’re reshaping the very first rung on the engineering career ladder. Host Mike Vizard asks Juan Salinas, VP of business development at Jalasoft, and software engineer Rolando Lora whether entry‑level developer jobs are about to disappear. Salinas is blunt: the routine, low‑risk tickets that once taught newcomers the ropes […]
Scaling DevOps: Tackling Infrastructure Automation
Spacelift CEO Pawel Hytry dives into the infrastructure automation challenges DevOps teams are facing following the picking up of an additional $51 million in financing. Infrastructure-as‑code was supposed to make provisioning easy—copy some Terraform, hit “apply,” and move on. In practice, teams soon discover that version‑controlled snippets are only half the story. Once dozens of […]
Fast Code, Real Risks: Guardrails for AI-Generated Software
Yonatan Arbel, developer advocate in the Office of the CTO at JFrog, dives into the potential risks and rewards of relying on artificial intelligence (AI) agents to build and deploy software. Yes, more code is shipping faster than ever, Arbel admits, but volume alone isn’t a win—each hastily synthesized line must still survive build servers, […]
How DevOps Strategy Is Evolving with Jim Cassens
Perforce Software CEO Jim Cassens dives into how the company’s overall approach to DevOps is evolving in the wake of a series of acquisitions. Cassens talks through the company’s recent spate of acquisitions and how thoughtful integration—not just portfolio expansion—is driving value for customers. He also highlights the growing role of synthetic data, AI-enhanced testing […]
How AI Is Transforming the Future of Software Development with Wing To
Digital.ai CTO Wing To delves into how the way code is written, deployed and managed will fundamentally change in the artificial intelligence (AI) era. Cutting through the extremes, AI won’t erase entry-level dev jobs, nor will it fully replace senior developers. Instead, it’s changing what both groups focus on. Entry-level devs will need to learn […]
GenAI in Software Development with Nathen Harvey
Nathen Harvey, DORA Lead at Google Cloud, delves into how generative AI is rapidly reshaping the software development landscape, presenting both exciting opportunities and complex challenges. Harvey reflects on his own journey, from early web operations and his time at Chef to leading the DORA program after its acquisition by Google. DORA (DevOps Research and […]
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