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Show HN: Run, build, and govern AI agent workflows for DevOps
Hey HN,<p>Two things kept coming up when we talked to teams building internal AI automation: rebuilding the same integrations, and automation touching production with no visibility into what it actually did.<p>So we built Retroshift, run and govern AI agent workflows in your existing tools. Every action is logged, nothing touches production without approval, and we use a local first approach so everything can be run straight on your local machine<p>Things we're actively working on:<p>- Shadow execution: test workflows against mocked dependencies before hitting production<p>- Import runbooks into workflows<p>- Trace to workflow: convert a chat session into a reusable workflow<p>- Workflow marketplace<p>- Evals<p>- Slack integration<p>Invite-only alpha now, beta next week. Would love feedback from anyone running ops automation or starting to think about AI agents supporting production systems.
Retroshift targets a high-growth intersection of AI agents and DevOps governance, addressing critical enterprise pain points like production safety and local development. While the product vision is strong and timely, the score is tempered by the lack of disclosed funding, team background, and early-stage traction.