What an SRE Agent Can Do For Testers

I've wasted countless hours reporting bugs, getting frustrated, pinging the developers, having them investigate,... only to find out the test environment was broken. Or the wrong branch was deployed. Or the test data was outdated...

Am I even looking at something stable enough to trust my own findings? The automated checks can help out with a lot, but often still fall short when it comes to infrastructure.

The job of a tester may have evolved over the past decades, but nothing has sufficiently replaced the clever, investigative and based on real-world evidence interaction with the software by a skilled human.

Not "clicking around," as some still like to caricature it, but a deliberate, skilled investigation where learning, test design, and execution happen simultaneously. And when you combine that with risk-based thinking, you get something powerful: a focused session where every minute counts because you know why you're looking where you're looking.

At Hyground, we build an SRE Agent that lives and breathes production environments, but also development and test environments can be hooked on.

Seeing the amazing capabilities and insights it has access to, it makes me think about my previous experiences as a tester.

A few years ago I was brought in on a project that was, to put it kindly, under siege. The development team had doubled in size. Two additional projects had launched alongside the main rebuild. And the software, a full rewrite of a legacy system using modern technology, was being deployed faster than anyone could verify what was actually in it.

Bugs multiplied faster than fix-releases could contain them. At some point, I even printed them out, pasted them against the wall so management couldn't ignore them.

What made it truly painful: the bugs we found weren't always bugs. The wrong build was deployed. Othertimes, data had gone stale or been removed between test cycles. Features that had been reworked since we last looked at them. We were spending enormous energy investigating things that weren't product defects at all. What made it worse is that our questions confused the development teams and wasted their time as well.

... we did eventually make the project successful but it was painful. If only we had a Hyground-like system then.

I think about that project a lot these days. Because the situation it represented: fast-moving changes, too many PRs to track, an environment where you can't trust the stability of what you're testing,... Well that's an everyday thing right now.

With AI-generated code accelerating development velocity, it's becoming the default.

Hyground, an AI SRE Agent, is plugged into your infrastructure, observability and beyond. It would've been an absolute hero in my previous project and is a lifesaver for testers now.

What's Changed?

Whether you're testing an AI agent on a platform, or a non-AI product or anything in between, chances are your product is changing at an incredible rate since at least last December.

Constant and drastic change. Between one test session and the next, the landscape could shift completely. New code merged, data migrated, infrastructure tweaked, features reworked. And nobody told you exactly what changed. You'd start a session with assumptions from last week and discover, sometimes after logging several bugs, that they no longer hold true.

For any tester approaching an environment under heavy development, one of the first thoughts should be about the environment itself. What changed since I last looked? Are the changes I'm seeing intentional or accidental? Is this data fresh or stale?

An SRE Agent that monitors the environment continuously could answer this before you even start your session. It can draw a real picture: these services were redeployed, this data pipeline ran (or didn't), these infrastructure components changed configuration. The kind of situational awareness that took us hours of Slack messages and guesswork to piece together.

At the very best of times, we'd have to "ask that one person", and they were usually quite busy.

Am I Set Up for Success?

On that project, I watched skilled testers waste entire half-day sessions investigating what turned out to be environment inconsistencies. Not bugs. Not design issues. Just the debris of a codebase moving faster than its integration process could handle. Those sessions were lost and resulted in a lot of wasted time and added frustrations.

Before I start any exploratory session now, I want to know:

• Is this environment in a healthy state?
• Which PR's are deployed?
• Any 3rd party processes running?
• Are the downstream services reachable and healthy?
• Are there any open Jira issues flagging known problems with this environment?
• What's the current error rate in the logs?

... or I could just send an email to Hyground with "Hey Hyground, I want to do a test session on X on environment Y. Anything out of the ordinary I should know?"

This is where something like Hyground changes the game. An SRE Agent that can tell you "your Kubernetes cluster is healthy, but this service was redeployed 20 minutes ago and hasn't stabilized" saves you from chasing phantoms. It turns a guessing game into a briefing.

Why This Matters Now

The project I described at the start wasn't unusual for its time. A team moving that fast, with that much change, and that little environmental stability, it felt extreme, but probably more normal than we'd like to admit. We coped with colored stickers on a wall and the goodwill of twenty driven teammembers.

Today, that velocity is normal. AI-assisted development means more PRs, more frequent deployments, more change. The tester's challenge of "can I trust what I'm looking at?" is intensifying, not receding.

Risk-based exploratory testing gives you a framework for focusing your limited time on what matters most. However, it only works if the environment cooperates, or if you have the tooling to understand when it doesn't. That's the piece that was missing on my project years ago. It's the piece I'm now helping to build.