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Services / Software Delivery Pods

Your next engineering team will work differently.

AI can already write code, run tests and fix bugs. Our software delivery pods help you build with it—and develop the systems that let agents take on more of the work.

Build with an AI-native pod

The code got faster. Engineers still hold the process together.

They explain the codebase, break down tasks, restart stalled agents and check whether “done” actually means working.

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Each agent can do more. Someone still has to connect the work.

Software factories are the next frontier.

Give agents a clear specification, an environment to build in and a way to test the result. They can work through implementation, validation and correction in a continuous loop.

Engineers define the outcomes, design the checks and resolve the decisions that need their judgment.

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01

Engineer writes

02

Engineer directs agents

03

Agents build and validate within an engineered system

Supplier approval

approval.ts

− return submit(request)

+ await validate(request)

+ return submit(request)

Validation tests passed

Build the software. Develop the factory around it.

Our pods work with your team on a real delivery goal. Alongside the software, we develop the project context, agent workflows and tests that make the next task easier to delegate.

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  • Start with a bounded feature or workflow.
  • Expand what agents handle as the results earn your confidence.

Give your engineers more room to engineer.

Move repeated instructions and routine checks into the delivery system. Keep your team focused on architecture, product decisions and the problems that need their experience.

Build with an AI-native pod

Frequently asked
questions.

Start with a bounded feature or workflow.

Can a pod work in our repository?

The pod works with your team on a real delivery goal. The page gives no repository access details.

Who decides whether to release?

The page describes engineers checking whether the software works. It doesn’t identify who authorizes a release.

What if the scope changes?

The page recommends starting with a bounded feature or workflow. It gives no process for changing the scope.

Give your engineers more room to engineer.

Build with an AI-native pod