The problem
DevOps work lives in the terminal. Editing config files means using vim or nano. Checking service status means systemctl. Reading logs means less, journalctl, or tail. These are all interactive, full-screen applications that no AI agent could operate — until now.
Configuration management tools like Ansible or Terraform handle the happy path, but troubleshooting, one-off fixes, and exploratory changes still require a human operator at a keyboard. The gap between "deploy the playbook" and "figure out why the config isn't working" is where the real time goes.
How agend solves it
agend gives your AI agent full interactive access to the terminal tools SREs use daily:
- Edit files in vim/nano — the agent opens the editor, navigates to the right section, makes changes, saves and exits with the correct key sequences
- Manage services — start, stop, restart, and check status with systemctl, reading the actual output
- Read logs interactively — use less, journalctl, or tail with search, pagination, and filtering
- Validate before applying — run
nginx -t,apachectl configtest, ornamed-checkconfbefore reloading - Chain operations safely — edit config, test config, reload service, verify service health — all in one workflow
What you can automate
- Nginx/Apache/HAProxy configuration changes
- SSL certificate renewal and verification
- Firewall rule management (iptables, ufw, nftables)
- DNS configuration and zone file editing
- Cron job management and scheduling
- Docker/Podman container management
- Kubernetes kubectl operations