# Build an agentic software factory

> Your engineers are faster with AI agents and delivery isn't. We set up the context store, a preview of every change and the approval gates around the agents, so a request turns into reviewed, running software with a record of who approved it. It runs in your own cluster, beside your team, until it's routine, and then it's yours.

Canonical: https://www.techfabric.com/solutions/agentic-software-factory

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## Your agents are faster than your process

The agents work. The process around them was designed for people writing every line, and it shows in three places.

### Delivery is slower than the tooling

Leadership sees what an assistant can do in an afternoon and cannot understand why a change still takes six weeks. The bottleneck moved and nobody moved the process.

### The demo does not become a product

Good work stalls between prototype and production because environments, review and robustness were never set up for something arriving this fast.

### Only engineering can see the work

Asking for a change means finding a person and waiting. There is no single place a request goes in and comes back as something you can click.

All three come from the same place. The process assumed a human wrote every line, and the work no longer arrives that way.

## What we install

### A context store with a memory

Your tickets, code, documents and decisions in one searchable record that persists between sessions.

### Agents with defined jobs

Research, specification, codebase inspection and review as separate agents with separate scopes, rather than one assistant asked to do everything.

### Environments that keep up

A preview per change, so review is looking at running software rather than reading a diff and imagining it.

### A request path anyone can use

One place a request goes in and comes back as something clickable, so the people closest to the customer are not furthest from the software.

### Gates that hold

Evaluation and approval as checkpoints in the pipeline, not as conventions people follow when there is time.

### The trail, as a property

What was asked, what an agent read, what it changed and who approved it, recorded because the runtime records it.

## We ran it on ourselves first

Fabric was built because our own delivery did not scale, and our teams have worked inside it every day since. The engagement is us installing that, running it beside your people, and leaving.

## Questions

### Is this a product or a service?

Both, in order. The software is Fabric and it is free and open source. The engagement is installing it against your systems, running it with your team until it is boring, and handing it over. You can take the software without us.

### Where does it run?

In your cluster, on your data. Nothing leaves your infrastructure, and there is no procurement cycle to clear because there is nothing to buy.

### How long before it does anything?

The context store earns its place first, usually in weeks, because search over your own decisions is useful before a single agent runs. The agents follow it.