It took three missed approvals to bring the release to a halt. Not because the code was broken. Not because the tests failed. But because the workflow lived in a terminal window no one was looking at.
Ncurses approval workflows are fast, tactile, and perfect for engineers who live in the shell. But they’re trapped in a place where collaboration rarely happens. Pairing them with Slack or Microsoft Teams breaks that wall. You keep the lightweight, text-based UI. You add the instant visibility, notifications, and actions where your team is already talking.
When an ncurses interface pushes an approval request straight into Slack or Teams, no one gets lost in context switching. That line of text with its green and red options lands where work is happening. Approval? One click. Rejection? Same speed. The workflow engine updates instantly, and the terminal user sees it in real time.
Integrating ncurses with Slack or Teams can be done via simple webhooks or richer bot APIs. The ncurses client collects the request, sends a payload to a backend service, which then triggers a formatted message in a channel or direct message. These messages can carry inline buttons mapped to workflow actions. The return responses from Slack or Teams call back to your service, which pushes results back into the ncurses interface.
With this pattern, you don’t force people into the terminal to approve. You don’t hide approvals in a chat platform either. Both views are live, synchronized, and always accurate. Engineers in ncurses keep moving without mouse clicks. Managers in Slack or Teams can handle decisions between meetings. The result is faster throughput from commit to deploy.
The gain is more than speed. You cut the risk of missed approvals. You keep logs centralized. Every approval action is both in your workflow backend and in the chat history. Audit trails become a natural byproduct, not another task.
If you want to see ncurses approval workflows in Slack or Teams without cobbling code for weeks, hoop.dev has them ready. You can spin it up, connect it to your flow, and watch it go live in minutes.