Artificial intelligence is entering a new phase in software development, with developer-focused AI agents stepping in to automate routine tasks, surface deeper insights from code and accelerate the way teams deliver applications.

Instead of losing hours to repetitive coding, developers are now able to redirect their energy toward solving bigger, more creative problems. These intelligent agents don’t just write snippets or suggest fixes — they interpret intent, manage context across complex systems and handle orchestration in real time. The shift signals a broader transformation in how software is built: from grinding through syntax to leading innovation, with AI acting as both assistant and accelerator, according to Sravana Karnati (pictured), executive vice president of global technology platforms at Walmart Inc.

Walmart’s Sravana Karnati talks with theCUBE about WIBEY being a transformative, developer-centric AI agent poised to speed and simplify AI application development.

“As new protocols like MCP, which is a Model Context Protocol, come in, you can actually leverage a lot of the rest [of the] APIs and other services that you already built for distributed processing, embed that into agentic AI,” Karnati said. “What happened was we started having all of these tools, and that increased the cognitive load for our developers. That really led to WIBEY … we formalized it with our notion of super-agents, not just for developers, but also for customers and associates and sellers and so forth.”

Karnati spoke with theCUBE’s Dave Vellante at theCUBE + NYSE Wired: AI Factories – Data Centers of the Future event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how WIBEY is driving Walmart’s transformation as one of the pioneering developer-focused AI agents.

Walmart’s WIBEY: Harnessing developer-focused AI agents to turn code into innovation

The Element platform powers WIBEY’s efficiency by abstracting complexity, orchestrating tasks intelligently, leveraging shared context and delegating actions smartly — freeing developers from repetitive work to focus on innovation. This highlights the transformative impact of developer-focused AI agents in complexity abstraction, intelligent orchestration, prompt-driven interaction and strategic delegation, according to Karnati.

“WIBEY is built on Element,” he said. “Element is a machine learning and AI platform that allows you to safely build ML models and AI models and safely test them and then deliver in a way that is compliant. The same platform is extended to have a middle layer that allows you to create new agents, register them, register the capabilities and then WIBEY as an orchestrator has access to all of that information and dynamically can present the right agent for you based on what you’re trying to do.”

Walmart’s “triplet model” is a hybrid cloud architecture combining public clouds, private clouds and edge nodes to deliver scalable, resilient and low-latency services. This framework powers real-time, personalized customer experiences, streamlines operations and strengthens Walmart’s competitive edge, Karnati pointed out. 

“Triplet is a core part of our strategy when it comes to how we run our data centers in the cloud,” he said. “We needed to make sure that our infrastructure is as close to our customers as possible. We have multiple regions spread out across the U.S., and in each of those regions, we have three data centers … a couple of public clouds and then our own data centers as well.”

The Walmart Cloud Native Platform, which is Kubernetes based, delivers a seamless, standardized developer experience across cloud, on-premises and edge environments. By abstracting complexity and unifying tools, WCNP enables faster innovation, scalable application deployment and streamlined operations — letting developers focus on building features and solving business problems rather than managing infrastructure, according to Karnati.

“One of the things we were careful about is to make sure that we’re vendor-agnostic,” he said. “When you have different cloud providers, we want to make sure that our developers have consistent tooling to build and deploy software. As we did with the Triplet strategy, we have created what is called WCNP, Walmart Cloud Native Platform, that allows developers to consistently develop and deploy to any of these endpoints, whether it is our own private cloud, one of the public clouds or our own data center as well.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of theCUBE + NYSE Wired: AI Factories – Data Centers of the Future event: 

Photo: SiliconANGLE