Agents think in milliseconds, legacy infrastructure doesn't. LinkedIn, Walmart and Zendesk shared how they closed the gap at VB Transform 2026
The Avocado Pit (TL;DR)
- 🏃♂️ Legacy systems are too slow for AI agents; LinkedIn, Walmart, and Zendesk found creative fixes.
- 🏗️ Infrastructure built for humans isn't ideal for AI agents; major engineering was needed to bridge the gap.
- 💡 LinkedIn sped things up by pre-provisioning Kubernetes containers.
- 🏢 Walmart turned employees into "citizen developers" for innovation.
- 📊 Zendesk focused on enhancing data pipelines instead of just relying on LLMs.
Why It Matters
Legacy infrastructure may have the charm of a vintage car, but when it comes to AI agents, it’s more like trying to win a drag race on a tricycle. At VB Transform 2026, tech leaders from LinkedIn, Walmart, and Zendesk shared the nitty-gritty of how they revved up their systems to meet the millisecond-thinking speeds of AI agents. Spoiler: it wasn’t the models that were slow—it was the infrastructure.
What This Means for You
If you're in the tech world, the message is clear: stop blaming the AI models and start tuning up your infrastructure. Whether you're running on a shoestring budget or swimming in enterprise cash, investing in infrastructure that keeps pace with AI agents is crucial. And for those DIY enthusiasts, Walmart's "citizen developers" approach is a nifty blueprint for sparking grassroots innovation.
The Source Code (Summary)
At VB Transform 2026, LinkedIn, Walmart, and Zendesk leaders revealed that legacy infrastructure—not the AI models—was the real bottleneck. Each company faced unique challenges: LinkedIn's Kubernetes was too slow, Walmart grappled with uncoordinated internal agent development, and Zendesk had to refine its data pipelines. Their solutions? Pre-provisioned Kubernetes pools, governance for internal developers, and robust data infrastructure, respectively. Open-source tools played a critical role, with each company choosing between vendor-specific and open-source models based on the task at hand.
Fresh Take
The takeaway from VB Transform 2026 is crystal clear: The tortoise and the hare story doesn’t translate well to tech. If you're still relying on legacy systems built for human speeds, you might as well be trying to stream Netflix on a dial-up connection. The future is blazing fast, and the tortoise just won't cut it. Embrace the need for speed, invest in your infrastructure, and maybe—just maybe—you’ll keep up with your AI agents as they zoom into the future.
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