Definition
Autonomous agents
Autonomous agents are AI systems that complete engineering work on their own: read a ticket, open a terminal, browse the app, change code, run tests, and return evidence. They do not stop at a single chat reply or a one-off API call.
Why it matters
If every step needs a human to prompt, copy, and paste, you have not automated the work. You have added friction.
How Islo helps
Islo gives autonomous agents a real computer with your stack, a browser, scoped tool access through the gateway, and persistence across long runs so they can work unattended.
What autonomous agents actually do
A useful autonomous agent reads context from your tools, plans a sequence of steps, executes them on a computer in the background, checks the result, and loops until the task is done or blocked. Work can start from a ticket, webhook, or schedule — not only when you paste a prompt. The agent clones the repo, reproduces a bug in a browser, patches the code, runs the test suite, and opens a pull request with a recording of the fix while you are in another meeting or offline. You are not watching a chat stream. You check the result when the run finishes.
Where teams deploy them first
Most teams start with a workflow they can grade in minutes: nightly regression on real user flows, PR verification against a running stack, or triage on incoming bugs. Once one loop is trustworthy, they widen to ticket-to-PR or alert monitoring. The pattern is always the same: pick something with a clear pass condition, run it unattended, and compare what comes back against what a human would have done.
Keep reading
Common questions
How is this different from a coding assistant?
Assistants answer in chat. Autonomous agents execute multi-step work on a computer and hand back a result you can review.
Do autonomous agents need a human in the loop?
You still approve merges and consequential decisions. The agent does the implementation and verification work in between.
What tools can they use?
GitHub, Linear, Jira, Slack, browsers, CLIs, and your services, scoped by gateway policy.
Can they run for hours?
Yes. Islo computers persist across reconnects and long jobs.
Where should we start?
Pick one workflow you already grade well, like nightly regression or bug to PR.