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How Skydive Builds Autonomous Enterprise Agents with Code.Storage

Date:September 17, 2026Author:Jacob ThorntonCategory:CASE STUDYProduct:Skydive by AnythingIndustry:AI / Enterprise softwareLocation:San Francisco, California
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Anything logo

Anything radically simplified coding apps and websites for 1.5 million users. In 2026, the Anything team realized how much a simplified interface unlocked productivity, so they brought the concept to enterprise work with Skydive. Now, Skydive agents outnumber Anything employees ten-to-one, supporting everything from Office Admin to Engineering to Sales. After seeing how much this system improved their own company, Anything made Skydive available to the public.


What Skydive does

Skydive agents are coworkers with actual job responsibilities. Just like coworkers, agents remember past events, learn over time, and get better with experience. Working entirely in their own cloud computers, each unique agent freely operates a browser, file system, terminal, and the same tools as the rest of your team so they can complete work end-to-end with little supervision. The Skydive engineering team assembles and operates all the infrastructure making up the agents — model access, sandboxes, permissions, security, and infrastructure — so that the experience “just works.”

Anything uses Skydive to run its own business. More than 150 agents with unique names and personalities handle work across customer support, engineering, marketing, growth, sales, and operations working alongside less than 15 human employees. Grace investigates product issues, Otis runs project management with Slack and Linear, and Polly generates brand creative using ChatGPT and Figma. Each agent is always on, always reachable, and highly responsive to team members and customers alike.

So why build an agent workforce?

The idea for Skydive came from seeing how well the first product, Anything, made a useful (and delightful) user experience by abstracting underlying infrastructure. The team needed something like that internally, so they created an engineering agent nicknamed “Coworker” who lived in Slack. It wasn’t long before everyone wanted a Coworker themselves. Clearly, the product was useful for more than just engineering, so they made it possible for everyone to build their own.

Most of the time, working with AI means using a chatbot, a local terminal agent, or intricate handmade logic in a workflow builder. Each option creates friction in the day-to-day experience of working with AI and even makes inconsistent results. It’s not productive to constantly manage permissions, add and remove tools, manage markdown memory files, and search for old sessions or work artifacts buried in a month-old session. There’s no inherent need for users to manage these things. The more these requirements can be stored remotely and mounted to a safe environment, the more the agent can achieve on its own.

How Skydive works with Code Storage

“Pierre is the fastest, most reliable, git storage provider and their team is exceptional to work with.”

— Marcus, Cofounder at Anything

Every Skydive agent is backed by a private git repo hosted with Code Storage. The repo is the source of truth for everything that makes a Skydive agent unique and object-permanent: the persona, standing instructions, MCP configurations, custom tools, skills, persistent memory, sandbox startup and configs stored in the repo. Agents primarily access and manage these ‘personal repos’ programmatically, but users can also explore, edit, and commit to it just like any other repo.

By default, the agent’s sandbox is rebuilt on each push to the repo. As a result each memory update, tool change, and added skill is recorded in git history. Durable git storage separate from the sandbox disk ensures that state survives session restarts and remains constant across instances, channels, and conversations. With the Code Storage API, Skydive can programmatically create and operate private repos while keeping the Git implementation abstracted from the product experience.

Code Storage for the agent workforce

Products like Skydive make it possible for companies to move from one general assistant to fleets of self-improving, specialized agents. Agent state is the core infrastructure that enables durable identity, visible state history, and retention of ephemeral work artifacts — the things that make Skydive agents so reliable.

Platform teams recognize the power of Git for agent state management, but lack access to a product that serves Git usefully. Code Storage pairs purpose-built APIs with infrastructure built for the accelerating demand of agentic workloads. The Anything team gets to focus on making Skydive agents more capable, personal, and autonomous, and Pierre improves the infrastructure underneath.

If you or your company have similar needs, contact us at hey@pierre.co!

— Written with ♥ by The Pierre Computer Company

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