We sell an agent workforce. So we pointed one at ourselves.
Instead of answering email, our internal agent does software engineering. It watches for new issues, plans the change, writes the code, runs the tests, opens the pull request and merges when the reviews pass. A person sets direction and steps in for the judgment calls.
This is not a demo. It is how the product you are looking at gets built.
From filed to merged.
- 01
Triage
A new issue is classified and routed. The system decides which work is needed and which steps can be skipped. - 02
Plan
An agent reads the issue, reads the code and writes an implementation plan against the live spec. - 03
Implement
Another agent does the work in an isolated workspace. It cannot touch anything outside its own branch. - 04
Verify
The same build, lint and test commands run again in CI. Failures bounce back for a fix. - 05
Review
Code review, security review and documentation review each run as their own stage. Trivial changes move fast. Risky ones get the full treatment. - 06
Merge
The agent opens the request, waits for green and merges. Promotion to production stays behind a human gate.
A small team ships like a much larger one.
The system encodes the mistakes we have already made and the feedback we have already absorbed, so it gets sharper every week without anyone retraining a model. A handful of people set direction, review the interesting calls and let the pipeline carry the rest.
It is also the most honest product demonstration we could give you. If we did not trust agents with consequential work, we would not have handed them our own codebase.
Your operational drag is handled.
Onboarding is self serve and takes a few minutes. Then you can start deploying your AI workforce.