aicoolies logo
Spacelift logo

Spacelift

AI-powered Infrastructure as Code management platform

Share
freemium
Visit Website →

IaC orchestration platform with AI-powered policy suggestions, drift detection, and automated remediation. Supports Terraform, OpenTofu, Pulumi, CloudFormation, Ansible, and Kubernetes. Centralizes infrastructure management with approval workflows, cost estimation, and compliance guardrails for teams running multi-cloud environments at scale.

Spacelift is an infrastructure orchestration platform designed specifically for managing Infrastructure-as-Code workflows at scale, supporting Terraform, OpenTofu, CloudFormation, Pulumi, Ansible, and Kubernetes configurations. It provides a CI/CD pipeline purpose-built for infrastructure changes, with features like drift detection, policy enforcement, and approval workflows that go far beyond what general-purpose CI/CD tools offer. Spacelift bridges the gap between writing infrastructure code and safely applying it to production environments.

The platform features OPA-based policy enforcement for plans, approvals, and security controls, automatic drift detection that highlights when real infrastructure diverges from its intended state, and flexible deployment models including SaaS, self-hosted, and air-gapped installations. Spacelift Intelligence introduces AI-powered capabilities for natural language infrastructure provisioning, diagnostics, and operational insights. The Intent feature allows teams to deploy infrastructure using natural language without writing any Terraform or configuration code.

Spacelift targets platform engineering teams and DevOps organizations managing complex, multi-cloud infrastructure across many teams and environments. It provides role-based access control, audit logs, cost estimation, and integration with version control systems for GitOps-style workflows. The platform is particularly valuable for enterprises that need governance, compliance, and security guardrails around infrastructure changes, ensuring that every modification goes through proper review and policy checks before reaching production.

Pricing

Free tier / Cloud from $0.05/min / Enterprise custom

Platforms

Web app, GitHub/GitLab integration, CLI

Categories

Tags

Use Cases

Alternatives

Related Tools

KubeAI

Kubernetes operator for serving AI inference workloads

KubeAI is an Apache-2.0 Kubernetes operator for deploying and scaling AI inference workloads, including LLMs, embeddings, reranking, and speech-to-text. It gives platform teams OpenAI-compatible endpoints, model proxy/controller primitives, model caching, scale-from-zero behavior, and cluster-native resource management for self-hosted inference on Kubernetes.

open-sourceOpen Source
Freestyle logo

Freestyle

Sandboxes for coding agents — Linux VMs, Git, and deploys in one box

Freestyle is YC-backed sandbox infrastructure built for AI coding agents, shipping secure Linux VMs with nested virtualization, Git servers, and one-click web deploys. It lets agents run real workloads, branch repos, and deploy apps under short-lived identities while billing only for active compute. Used in production by vly.ai, Rork, and Vibeflow.

freemium
OpenSRE logo

OpenSRE

Open-source toolkit for building AI SRE incident response agents

OpenSRE is Tracer Cloud’s open-source public-alpha Python toolkit for building AI SRE agents that investigate and respond to production incidents. It ships 60+ tools across observability, databases, incident management, communications, deployment and protocol integrations, plus simulation/evaluation workflows for benchmarking agent accuracy before live pager use.

open-sourceOpen Source
Twill AI logo

Twill AI

Autonomous coding agents that ship while you sleep

Twill is an autonomous coding agent platform that implements features, fixes bugs, and ships pull requests without manual intervention. Uses structured workflow of research, planning, human review, implementation in isolated sandbox, AI code review, then merge. Supports custom agent configurations with multiple LLM providers, isolated dev environments for verification, and integrations with GitHub, Linear, Sentry, Notion, and cloud platforms for end-to-end engineering automation.

freemium
Baseten logo

Baseten

ML inference platform for production AI models

Baseten is the inference platform for deploying AI models at scale with dedicated and pre-optimized model APIs and performance-optimized infrastructure. Specializes in image generation, transcription, text-to-speech, LLM serving, embeddings, and compound AI workloads. Delivers 75% latency reduction with 415ms cold starts and 3000+ concurrent scaling. Available as managed cloud or self-hosted, trusted by Cursor, Notion, Descript, and Sourcegraph for production inference.

api-usage-based
Resolve AI logo

Resolve AI

AI-powered production incident resolution

Resolve AI automates production incident investigation, diagnosis, and remediation acting as an AI SRE that participates in every on-call rotation. Autonomously investigates incidents pursuing multiple hypotheses in parallel, validates against real evidence, creates code snippets and drafts PRs, generates post-mortems, and onboards new teammates with instant answers about code and infrastructure. Drives 5x faster MTTR and 87% faster incident investigations.

paid

Comparisons