This is a guest conversation episode of Ship It Weekly (separate from the weekly news recaps).

In this Ship It: Conversations episode I talk with Gracious James Eluvathingal about TARS, his “human-in-the-loop” fixer bot wired into CI/CD.

We get into why he built it in the first place, how he stitches together n8n, GitHub, SSH, and guardrailed commands, and what it actually looks like when an AI agent helps with incident response without being allowed to nuke prod. We also dig into rollback phases, where humans stay in the loop, and why validating every LLM output before acting on it is the single most important guardrail.

If you’re curious about AI agents in pipelines but hate the idea of a fully autonomous “ops bot,” this one is very much about the middle ground: segmenting workflows, limiting blast radius, and using agents to reduce toil instead of replace engineers.

Gracious also walks through where he’d like to take TARS next (Terraform, infra-level decisions, more tools) and gives some solid advice for teams who want to experiment with agents in CI/CD without starting with “let’s give it root and see what happens.”

Links from the episode:

Gracious on LinkedIn: https://www.linkedin.com/in/gracious-james-eluvathingal

TARS overview post: https://www.linkedin.com/posts/gracious-james-eluvathingal_aiagents-devops-automation-activity-7391064503892987904-psQ4

If you found this useful, share it with the person on your team who’s poking at AI automation and worrying about guardrails.

More information on our website: https://shipitweekly.fm