Introducing Saturnhead AI

We built Saturnhead AI for DevOps practitioners who spend their days troubleshooting, enabling developers, and trying to deliver scalable self-service solutions while getting pulled back into tactical work. Saturnhead AI is designed to restore the ability of DevOps to move fast and deliver reliable infrastructure without wasting hours deciphering logs. We believe a truly effective solution must first serve the needs of the practitioners: resolving failed deployments quickly and freeing DevOps teams to move at the speed their organizations – and their customers demand.

Saturnhead AI reviews your runner phase logs, automatically analyzes them, and provides clear and actionable feedback on what happened in a particular runner phase or what has happened inside your entire run if there is a failure. By taking care of the manual, time-consuming process of troubleshooting and guiding DevOps teams through resolution, Saturnhead AI slashes resolution time and eliminates operational bottlenecks. By leveraging Saturnhead AI in an enterprise, even for a modest 5% run failure rate, Saturnhead AI will eliminate the need to troubleshoot 1,000+ failed runs per week.

To see Saturnhead it in action, check out this video:

Saturnhead AI is built with a singular focus on making the day-to-day lives of DevOps practitioners easier. It’s an enterprise-grade AI assistant meant to enable your DevOps engineers to shift from being a troubleshooter to an enabler. When building Saturnhead AI, we focused on a few key differentiators:

• Providing value to hands-on DevOps Practitioners: Saturnhead AI is designed for daily use by DevOps practitioners and infrastructure engineers to help them resolve failures faster without the need to painstakingly sift through complex logs manually.
• Unlocking tribal knowledge: By translating technical run data into accessible language, Saturnhead AI helps junior team members understand issues more quickly, making it easier to onboard and scale teams without relying solely on senior-level expertise. Saturnhead AI helps democratize “tribal knowledge,” reducing dependence on internal experts and making troubleshooting accessible to any team member, regardless of experience.
• Putting the practitioner in control: Unlike many AI-powered tools that function as closed systems and leave users in the dark about how conclusions are drawn, Saturnhead AI allows enterprises to select their preferred large language model, providing flexibility and compliance with internal data governance and security policies.

To enable Saturnhead AI, head over to the Organization settings, select Artificial Intelligence, and then enable the Saturnhead Assist option.

After enabling it, you can choose from two large language models (LLM): AWS Bedrock – Anthropic and Google Gemini. Most AI tools work in a black box, and you don’t know what they use behind the scenes or how they use it. With Saturnhead AI is different – we’ve made sure it is safe and accurate, but we are giving you control over which LLM to use.

Now that you enabled Saturnhead AI, when you trigger a run you will be presented with two options:

• Summarize – Available for every phase of a run, provides an overview of what happened in that phase.  Summarize is available whether the runner phase is successful or not.
• Explain – Explain automatically troubleshoots failed runs. All phases of a run are analyzed – Initialization, Planning, and Applying – to provide:
  • Identified issues – lets you know what has happened
  • Likely causes – why this happened
  • Action steps – step-by-step actions you should take to solve the issues 

Let’s walk through a couple of examples: we’ll see the summarize option for planning and applying phases for a run that finishes successfully, and then we will explore a run that fails.

For this example, we will use some simple Terraform code that creates 4 ec2 instances. As soon as the plan phase finishes, the Summarize option will be present:

By clicking on it we will get this information:

Saturnhead AI has correctly identified that we are in the “PLANNING” state, and four instances will be created, with a specific ami and instance_type. In addition to telling you what the plan does, it also offers some Action Steps you should follow to review the plan (review instance configuration, and ensure that the network configuration is in place to support the EC2 instances).

I will confirm the run and deploy the resources, so we can see the apply phase summarization.

Similar to the planning phase, as soon as the apply phase finishes, you will see the summarize option:

After clicking on this option, we get insights about what has happened:

We can easily see that our run has finished successfully, four ec2 instances were created without any errors or warnings. Since the run was successful, Saturnhead tells us that no further action is required at this time.

Now let’s explore the most powerful feature of Saturnhead AI: the ability to explain why runs have failed. For this example, I will fail a run on purpose by not adding AWS credentials to my Stack.

As soon as the run finishes with an error, the explain option will be present:

This is the output of the explain option:

It correctly identifies the run has failed in the planning phase because no valid AWS credentials were found. Then it provides some of the most likely causes for this, and in the end, it gives a list of action steps you can take to solve the issues.

Saturnhead AI helps DevOps teams reduce time spent on troubleshooting. Saturnhead offers two flavors of automation. Summarize, offers a plain English explanation of any run. When it comes to troubleshooting failed runs, Explain dramatically accelerates time to resolution, providing all the information needed to solve issues in your code with one click.

Saturnhead AI is part of Spacelift’s Enterprise plan.

If you want to take Saturnhead AI for a spin, create a free account with Spacelift today, or book a demo with one of our IaC specialists to learn more about Spacelift..