Obert
The moment I could trust that what comes back actually works and my only job was merging the PR, that was a huge change for us.
Solutions
Ship a software factory before you hire a platform team.
Start with QA agents and PR verification on your real stack. Add more once you trust what they return.
What's slowing you down
Agent infrastructure is not your product
Spinning up a container is an afternoon. Keeping environments warm, scoping credentials, holding state between runs, and explaining what an agent did when something breaks is a quarter you do not have.
You need proof before you commit
Nobody wants to bet a sprint on agents that might work. The fastest way to find out is one workflow you can already grade in minutes.
Autonomous loops need structure from day one
When agents run your tests, open PRs, and post results back to the team, they need scoped credentials and an audit trail on every run. Scripting that together for one workflow falls apart by the third.
A realistic first two weeks
Start with QA agents
Point simulation agents at the user flows you would test by hand before a release. They run against your real stack overnight and come back with pass/fail plus browser recordings.
Add PR verification
Every pull request gets reviewed against a running version of your app rather than a diff in isolation, so you catch what only shows up when the services are actually up.
Widen once you trust it
Ticket-to-PR and alert triage are the usual next steps. By then you know what your agents are good at and what still needs a human.
How Islo maps to it
QA agents
Regression coverage without the headcount
Agents exercise checkout, onboarding, and the flows you care about every night, with recordings when something fails.
PR verification
Review against a running stack
Catch the breakage that a static diff hides, before it reaches the branch everyone builds on.
Cost
Pay only while it runs
No seat minimum and no idle cluster. A nightly suite costs what a nightly suite costs.
Where teams start
Teams running agents on Islo
Common questions
How fast can a small team get value from this?
Most teams have a nightly QA run working in seconds. Point agents at flows you already test manually and compare what comes back against what you expected.
Do we need a platform engineer?
No. Isolation, credential handling, persistence, and audit are the parts Islo owns. If you can run your app locally, you can run it here.
Which agent should we use?
Whichever you already like. Claude Code, Codex, and Cursor run natively, and you can bring your own harness on the same infrastructure.