Fully Autonomous AI Coding Agents
Autonomous AI coding agents that take software tasks from prompt to finished code. Agents run in the cloud, and work on the tasks autonomously, across multiple repositories.
Agen produces a live, interactive preview of the running app in the browser for every session. Users can click buttons, test flows, and verify end-to-end behavior across all changed services before merging, catching UI bugs, API failures, and integration issues that diffs alone cannot reveal.
Agen's multi-repo sessions let one agent work across frontend, backend, and infrastructure repos in a single task, producing coordinated linked PRs and a cross-repository live preview. This eliminates manual stitching of separate sessions and ensures type alignment, endpoint consistency, and deployment config coherence.
Agen accepts plain-English task descriptions and produces merge-ready PRs with live previews. Non-technical users can assign tasks, review the running app, and approve changes; technical reviewers handle the merge, removing the need for non-engineers to understand code or use Git.
Agen's scheduled agents run tasks on recurring schedules (daily, weekly, monthly) with hard budget limits per run. Users set the frequency and max spend once, then maintenance happens automatically without manual intervention or surprise billing.
Agen's self-fixing pipelines automatically read CI error logs, identify root causes, apply fixes, and re-run until green. Users review only passing PRs with clean diffs, eliminating the loop of copying errors back to the AI and waiting for retry attempts.