See how our AI agents transform everyday work, team by team.
Check out our complete guide to autonomous AI agents to understand the fundamentals before choosing your use case. Autonomous AI agents→
A build that breaks at 3am shouldn't have to wait for a human to open the logs. An autonomous AI agent watches pipelines around the clock, triages failures, and prepares the first step of incident response.
Read more→An autonomous AI agent continuously monitors production errors and support tickets, groups together what looks alike, and creates an already-triaged issue in your tracking tool, before a developer has even opened their monitoring dashboard.
Read more→Two agents take over the background work of a GitHub repository: a reviewer that comments on every open pull request against the team's conventions, and a triager that gives every new issue a type, a priority and a next step. They comment and label, humans decide.
Read more→An agent takes over the first hour of an incident: it reads the alert, its log and its notes, searches the commits and files of the repository for the probable cause, writes a note on the incident and opens an issue with the analysis and a proposed fix. The human on call decides, acts and resolves.
Read more→One autonomous agent reads your GitHub repository and drops a dated "Sprint update" page into a project wiki every morning: pull requests merged and open, issues, releases, blockers and pull requests that linger, with nobody compiling anything.
Read more→Create your account for free and launch an agent in minutes, no code required.
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