Introducing Docker AI Governance: centralized control over how agents execute, what they can reach on the network, which credentials they can use, and which MCP tools they can call, so every developer in your company can run AI agents safely, wherever they work.
Your laptop is the new prod
Agents are the biggest productivity unlock the modern workplace has seen in a generation, and engineering is where the shift is most obvious. Developers aren’t using agents to autocomplete a function anymore. They’re using them to read whole codebases, refactor across services, and ship entire products, end to end. Vibe coding is real, it’s shipping to main, and it’s happening on laptops everywhere today.
The same shift is moving through every other function. A new class of agents called Claws is already in production, sending emails, managing calendars, booking travel, pulling CRM data, reconciling reports, and querying production systems. Marketing, finance, sales, and support are adopting them as fast as engineering is, because the productivity gains are too large to ignore and the companies that move first will out-execute the ones that don’t. Org-wide rollouts that used to take quarters are landing in weeks.
