Alien
Islo proved for me that the dream of having an actual software factory is actually realistic.
Use cases
Autonomous agents for testing, review, tickets, alerts, evals, and migrations on your real stack.
Agents exercise your product like real users, with browsers, APIs, and seeded data.
Code reviewPR reviewReview PRs against a running stack instead of a diff in isolation.
TriageBug → PRA ticket goes in, an agent reproduces it, patches it, and opens a PR.
On-callAlert monitoringAn alert fires and an agent traces logs and metrics before you open your laptop.
SecurityUntrusted codeRun LLM-generated scripts on throwaway computers, never on prod or your laptop.
MeasurementAgent evalsScore agent runs in sealed computers before you roll a workflow out broadly.
CodebaseMigrationsLarge changes across repos, with agent context that survives the whole job.
Teams running agents on Islo
Alien
Islo proved for me that the dream of having an actual software factory is actually realistic.
Agents can test products like real users, review pull requests against a running stack, turn tickets into PRs, investigate alerts, run untrusted code safely, score eval runs, run nightly regression suites, and execute large migrations.
No. Each workload uses the same Islo primitives: a persistent computer, scoped gateway access, your real dev environment, and session continuity. You choose the workflow and Islo provides the infrastructure.
Yes. Snapshots and session resume let you reuse environments across workflows, or spin up dedicated computers per workload from CI, schedulers, or the SDK.
Start with one workflow you already understand: a nightly test suite, a single PR review loop, or one ticket-to-PR path. Expand only after you trust what that loop returns.
Yes. Run on Islo cloud, in your VPC (BYOC), or inside your customers’ cloud when regulated accounts require it.