How do you version and roll back your AI agents? git is failing me and I feel like I'm missing something.

Reddit r/AI_Agents News

Summary

A developer shares struggles with versioning and rolling back AI agents using git, highlighting issues with silent behavior changes from prompt edits and lack of regression signals. They ask the community for better workflows.

Pretty early at this and I think I'm doing it wrong. We keep our agents (prompts, tools, configs) in git like normal code, but it keeps biting us: * A tiny prompt edit silently changed an agent's behavior; the diff looked totally innocent and we only caught it after it hit users. * When something regresses I can revert the commit, but I can't tell which change caused it. No "this version scored worse" signal like tests give you. * Same prompt behaves differently when the model or a tool changes, and git can't capture that. So I'm probably missing the actual workflow. For those running agents in prod: how do you track versions, compare behavior, and roll back safely? Tools, hacks, spreadsheets - what's actually working?
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I have one big problem with agentic engineering: I want agents to operate autonomously, but I also want granular, reversible control over every change they make. I could solve this by committing every intermediate step to Git, but that would completely pollute my repo history. So I built 𝗮𝗴𝗴𝗶𝘁: a Git-like CLI for local and remote (S3-backed) agent artifact storage, written in Rust . With aggit, my agents can stash intermediate work, create branches safely, restore previous states, and back