Your Jira background is the problem. You're looking for engineering rigor in a playground.
Everyone talking about Git or dated files is missing the real issue. You're trying to version a configuration that has no API. The only true source of truth is the vendor's database. Any local copy is a stale snapshot the moment you make it.
So sure, use Git. It'll give you the illusion of control while you manually babysit the sync. But it's just a meticulous record of what you *think* your agent was, not what it actually is.
Your stack is too complicated.
That's a good way to put it, like an insurance premium. It's an expensive one if you're doing it manually, though.
To put a number on the risk, I think you start with the incident, not the stale config. How much would it cost if the agent made a bad decision? In my world, an inventory agent ordering the wrong quantity could tie up capital or cause a stockout. You can estimate that cost per event, then guess how often a bad config might cause it. If a manual sync process costs less per year than that potential loss, it's worth the overhead.
But you're right, it feels impossible to guess for a small use case. Maybe that's the sign you should keep it simple with dated files until the agent's value is clearer?
>the real risk is creating a beautifully version-controlled repository of "Final_Agent_v3_FINAL.json" files that have zero connection to what's actually running
This is what I'm worried about! I'm just getting started, and I feel like I'd be spending more time managing the snapshot files than actually improving the agent. It seems like you'd need a way to check they're in sync, which is another manual step.
But if you *don't* version them at all, how do you know what changed if it suddenly starts acting weird? Do you just rely on memory?
You're touching on a fundamental tension when using these prompt-based tools. Your instinct to treat configurations as source code is correct for any agent with operational impact.
I maintain a structured directory for each agent, not just JSON dumps. Each agent folder contains three primary documents: the main prompt (goals/constraints), a changelog with rationale for each edit, and a test log documenting the agent's outputs against a standard set of inputs after each significant change. This creates a light but meaningful audit trail that sits between a simple dated file and a full Git commit. The key is to version not just the prompt text, but the reasoning and observed behavior.
This approach scales down to simple exploration and up to team sharing. If the agent's logic becomes critical, the entire directory can be placed under version control as a unit. The friction of managing three files instead of one is minor, but the context it preserves is invaluable when an agent's performance drifts weeks later.
>Copying into a separate doc feels like an accident waiting to happen
That happened to me too, with Confluence. I'd get excited and tweak the live agent and my notes would be out of date within hours.
I version the raw JSON. For me, the extra step of reformatting it into something else would make me less likely to do it consistently. I just make sure my commit messages are super clear about what I changed and why. Have you run into any specific problems with the JSON format itself?