Where should a human still be in the loop once agents work your repo?
e-volv launches on Product Hunt later today. It is a control plane for the SDLC: draw a workflow on a canvas, and agents run it across GitHub, GitLab, Bitbucket, Azure DevOps, Jira, Linear and ClickUp — review PRs, triage issues, break down tickets, write changelogs, gate releases. 88 playbooks ship with it, ready to run.
The design we are proudest of is control. Approval gates hold a run until a person decides. Agents hold only the tools you hand them. Your own model keys, your own spend. Every step, every tool call and every token is recorded and replayable.
So, a question for this forum: where does a human add the most value once agents handle the routine work?
Agent opens the PR, you review it like anyone else's
Agent comments, a person makes the change
Agent merges behind a gate for a named class of change — dependency bumps, changelogs, release notes
Agents read and report, people decide
Keen to hear which of these your team already runs, and which playbook you would want pointed at your repo first.
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