KubiyaAI agents that turn business goals into automated DevOps and engineering workflows.

4.3 (6)

Reviewed by Daniel Nikulshyn·Updated May 2026

DevOps AI Agents Workflow Automation Platform Engineering Kubernetes Enterprise ChatOps

Overview

Kubiya is an AI-driven platform that acts like a virtual engineering organization, translating high-level business objectives into concrete technical actions. It deploys specialized AI agents that can execute DevOps tasks, manage infrastructure, and handle internal developer requests across tools like Slack, Kubernetes, AWS, and CI/CD pipelines. The platform combines natural language interfaces with workflow automation, allowing teams to request operations such as provisioning resources, troubleshooting incidents, or onboarding developers through conversational commands. Built-in policies, approvals, and audit trails aim to keep these autonomous actions secure and compliant. Kubiya targets platform engineering, DevOps, and SRE teams looking to reduce ticket backlogs, accelerate developer self-service, and offload repetitive operational work to AI agents that operate within existing toolchains.

Key features

AI agents for DevOps and platform workflows
Natural language task execution via chat tools
Pre-built integrations with cloud and Kubernetes
Custom workflow and agent builder
Role-based access, approvals, and audit logs
Self-service developer portal capabilities

Pricing

Model: Free
Category: Operations AI Agents
Rating: 4.3 / 5 (6)

Use cases

Self-Service Infrastructure Provisioning

Developers request cloud resources or Kubernetes deployments through Slack using natural language, with Kubiya agents handling provisioning under policy and approval controls.

Automated Incident Troubleshooting

AI agents diagnose and respond to operational incidents across AWS, Kubernetes, and CI/CD pipelines, reducing mean time to resolution for platform teams.

Developer Onboarding Automation

Streamline onboarding by letting new engineers request access, tools, and environments via chat, with audit logs and role-based controls ensuring compliance.

Conversational DevOps Workflows

Platform teams build custom agents and workflows that execute routine DevOps tasks through chat commands, freeing engineers from repetitive ticket work.

Pros & Cons

Pros

Automates routine DevOps and platform engineering tasks
Integrates with Slack, Kubernetes, and major cloud providers
Conversational interface lowers barrier for developers
Policy and approval controls for safer autonomous actions

Cons

Geared toward technical teams with existing DevOps stacks
Setup and agent configuration require engineering effort
Pricing not openly published for smaller teams

Reviews

4.3

Average from 6 ratings.

Margaret Whitfield

Feb 8, 2026

Solid for our team

We rolled this out across the team last quarter and policy and approval controls for safer autonomous actions. Pre-built integrations with cloud and Kubernetes fits neatly into how we already work, and self-service developer portal capabilities removed a step we used to do by hand. Geared toward technical teams with existing DevOps stacks, which is the main caveat, but it has held up under daily use.

Tariq Aziz

Nov 20, 2025

Does the job

Pretty happy overall. AI agents for DevOps and platform workflows just works and conversational interface lowers barrier for developers. Setup and agent configuration require engineering effort can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Linda Petersen

Oct 28, 2025

Does the job

Pretty happy overall. AI agents for DevOps and platform workflows just works and automates routine DevOps and platform engineering tasks. Geared toward technical teams with existing DevOps stacks can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Nadia Petrova

Oct 11, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is self-service developer portal capabilities — handled better than most — and automates routine DevOps and platform engineering tasks. Worth the time if this is your use case.

Grace Okafor

Sep 26, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on pre-built integrations with cloud and Kubernetes, and automates routine DevOps and platform engineering tasks caught me off guard. Pricing not openly published for smaller teams is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Elena Rossi

Aug 5, 2025

Solid for our team

We rolled this out across the team last quarter and conversational interface lowers barrier for developers. Role-based access, approvals, and audit logs fits neatly into how we already work, and natural language task execution via chat tools removed a step we used to do by hand. Setup and agent configuration require engineering effort, which is the main caveat, but it has held up under daily use.