Spacelift unveils AI suite to speed cloud infrastructure

Spacelift has launched Spacelift Intelligence, a product suite that adds natural language interaction and an AI assistant to its infrastructure orchestration platform. The release also makes Spacelift Intent generally available following a design preview.

Spacelift positions the update as a response to faster software delivery driven by AI coding tools. It argues that infrastructure teams face growing demand for new environments while remaining responsible for stability and day-to-day operations.

Developer use of AI assistants has increased sharply, according to Google Cloud's 2025 DORA State of AI-assisted Software Development Report. The report found that 90% of developers use AI tools and spend about a quarter of their time working alongside them. Spacelift says this shift has increased the pace of infrastructure requests and raised expectations for turnaround times.

"Developers are moving so fast that traditional Infrastructure as Code (IaC) pipelines alone can't keep up. They were designed in an era that never contemplated the modern speed of feedback and experimentation that AI-powered development demands," said Marcin Wyszynski, Co-Founder and Chief R&D Officer at Spacelift.

"The Spacelift Intent design preview taught us that teams don't just need a faster way to deploy: they need AI to help them understand, design and manage infrastructure at the speed of AI code development. That's exactly what Spacelift Intelligence delivers," Wyszynski said.

Two components

Spacelift Intelligence has two parts. The first is Spacelift Intent, which uses natural language as an entry point for provisioning infrastructure. The second is an AI assistant that works across the Spacelift platform on tasks beyond deployment.

Intent offers an alternative path for infrastructure requests that arrive early in a development cycle. Spacelift says it is designed to complement existing Infrastructure as Code and GitOps practices, not replace them. It describes Infrastructure as Code as the system of record for production, with Intent aimed at rapid prototyping and experimentation.

The AI assistant extends the natural language approach to common infrastructure management work, including environment discovery, policy creation, drift management, and troubleshooting.

Operational focus

Spacelift says the assistant lets users ask questions about infrastructure state, changes, and issues without digging through logs or code. It also includes AI-generated diagnostics intended to reduce time spent examining failed runs and assessing the impact of changes. A guided onboarding experience is designed to reduce reliance on informal team knowledge.

Policy controls are central to how Spacelift presents the suite. It says Intent can operate "within policy guardrails," with platform teams defining approved patterns and constraints.

In material published alongside the announcement, Spacelift shared early feedback from platform teams that used Intent during the preview. One example was Cityblock Health, where Spacelift says developers already had self-service access to infrastructure, but post-setup work became increasingly manual and harder for platform teams to track or govern.

Another example came from Vega, where the platform team evaluated Intent as a prototyping tool in an isolated environment. Joe Hutchinson, Platform Lead at Vega, described the approach in two statements provided by Spacelift.

"Intent is a different way of provisioning infrastructure, and for us it has been best suited for experimentation. Running it in an isolated environment makes that clear and gives teams confidence to try things without worrying about unintended impact," said Hutchinson.

"It works well when people understand what it's for. Once you frame it as a place to explore ideas quickly, without touching production systems, the workflow makes sense and adoption becomes much easier," Hutchinson said.

Platform fit

Spacelift's core platform focuses on infrastructure orchestration for DevOps and platform teams. It works with Terraform, OpenTofu, CloudFormation, Pulumi, and Ansible.

The launch reflects a broader shift in how infrastructure teams are expected to operate. AI-assisted development tends to increase experimentation and the number of short-lived environments. Platform teams must balance that pace with security controls, compliance requirements, and predictable operations.

Spacelift says teams can adopt its AI features in stages, starting with visibility and learning, then moving toward provisioning and automation. It also says it plans to add more AI-related features over time.

Spacelift plans to demonstrate Spacelift Intelligence at KubeCon + CloudNativeCon Europe 2026 in Amsterdam, where it will discuss use cases and show live demos.