# DevOps Agent: Releases Shipped Safely, With Rollback Ready > The DevOps Agent is an AI DevOps agent in the Ai1 platform by MyZone AI that takes finished, tested changes into production: it confirms every required check has passed, deploys, runs a smoke test and rolls back to the last working version if the new one fails. Canonical page: https://myzone.ai/pages/agents/ai-devops-agent Part of Ai1, by MyZone AI. Book a DevOps walkthrough: https://calendly.com/d/ct6h-tcy-8qf/ai1-demo?a1=DevOps%20Agent&utm_source=myzone.ai&utm_medium=agent-page&utm_content=ai-devops-agent-final Last updated: 2026-10-05. Reviewed by the MyZone AI team. Tested changes shipped to production, with a way back ready every time. ## At a glance - **What it ships:** Code your team has already written and tested - **Before release:** Every required check passed, and the release confirmed by you or the agent that manages that part of your system - **After each deploy:** A smoke test, with automatic rollback if it fails - **When a deploy breaks:** Service restored first, then a plain-English incident report - **Daily health check:** Every module's pipeline and running service, with an alert when something is red - **What it never does:** Write features or fix application bugs ## What the DevOps Agent does - **Releases tested changes to production:** When a change is ready, it confirms the required release checks passed, deploys to the right server and confirms the new version is running. - **Builds and maintains your pipelines:** It sets up the automated build, test and deploy pipelines that run each time your team pushes code, and keeps them working. Required checks block anything that is not ready. - **Steps in when a deploy goes wrong:** If a deploy or pipeline fails, it rolls back to the last working version, works out what caused the problem and writes up an incident report. Code problems go back to your development team. - **Watches pipeline and service health:** It checks the pipeline status and running health of every module in a daily check, and raises an alert straight away when something is red. - **Proves each release works:** After every deploy it runs a quick smoke test. If that fails, automatic rollback puts the previous version back in place with no manual step needed. - **Sends a daily digest of your app errors:** Reads your Sentry and sends a ranked digest of your app's new, returning and noisy errors, each with a ticket draft ready to file. It only reads by default and acts on an issue only after you approve that exact change. ## How the DevOps Agent differs from a deploy script A deploy script pushes whatever it is given. The DevOps Agent checks first: every required check must pass, and each production release is confirmed before it goes out. After the deploy it runs a smoke test, and if that fails the last working version goes back at once. It then explains what failed in a plain-English incident report, sends code problems to your development team and checks the health of every module daily. How this differs from the System Administrator (https://myzone.ai/pages/agents/ai-system-administrator-agent): the System Administrator looks after the domains, DNS, access and deploy credentials underneath, while the DevOps Agent takes your team's tested changes into production. ## How it works 1. **Request received** (Whenever a change is ready): You ask for a release, a pipeline fix or a health check, or a tested change arrives from your development team. 2. **Gates verified** (Before anything moves): It confirms that every required check has passed. A production release is confirmed by you or by the agent that manages that part of your system before it goes out. 3. **Deploy or fix** (Once the checks pass): It deploys to the server, or builds or repairs the pipeline, then runs a smoke test to confirm everything works. 4. **Roll back if needed** (Only if the smoke test fails): If the smoke test fails, it rolls back to the last working version at once, with no manual step needed. 5. **Report back** (When the work is done): You get a clear status report: what was done, which version is live and any issues with next steps. ## When to use it - **Your development team has a tested change ready to go live:** It runs the full release: check the gates, deploy, smoke test and report back to you. - **A pipeline is broken or a deploy went wrong:** It restores service with a rollback, finds the cause and sends the code fix to the right team. - **You are adding a new module or your pipeline needs updating:** It builds or repairs the pipeline with the right checks in place, then confirms it runs correctly. - **You want to know whether everything is healthy right now:** It checks every module's pipeline and running service and flags anything that is red. ## What you get - A release report: checks passed, version now live and smoke test result - A plain-English incident report covering what failed, what was rolled back, the likely cause and where the fix is going - Build, test and deploy pipelines with required checks that block on failure - A health summary of every module's pipeline and running service ## Example: Release rolled back Example with a fictional company. Names, people and figures are invented to show the agent's output. Any resemblance to a real company or person is unintended. What it was asked: Release the latest version of our dispatch module to production, and tell us what happened. This is a written example of the release report, incident report and daily health check the agent produces, built on an invented company, module and pipeline. No real release, server or repository was involved, and all times and figures are invented. In real use the agent works from your pipeline's own run history, and a person on your team confirms the release and makes every code fix. Run date: 30 September 2026. ### What it found - All six required checks passed and the engineering lead confirmed the release, but two production smoke checks failed. - The agent restored the previous version within 4 minutes, so customers saw about 6 minutes of slow route lookups and no data loss. - The likely cause is a sorting change that slows long routes; a developer on your team makes the code fix. ## Guardrails - Every production release must pass the required checks and be confirmed before it goes out, by you or by the agent that manages that part of your system. - A rollback is ready before each production release, and a failed smoke test sends the previous version back in place straight away. - It ships code your team has already written and tested. It does not write features or fix application bugs; a person on your team or the Developer makes code fixes. - Your system administrator provides the deploy credentials. It holds only what its pipelines need, and credentials never appear in chat or logs. - It enforces the release standard but does not set it. ## Frequently asked questions ### What is deployment automation for a small software team? It means build, test and deploy pipelines run each time your team pushes code, with required checks that block anything not ready. In Ai1 by MyZone AI, the DevOps Agent sets these pipelines up, keeps them working and releases tested changes, so people spend their time on the product instead of release chores. Day to day it releases tested changes, keeps your pipelines working, checks the health of every module and is the first responder when a pipeline or deploy fails. ### How does automatic rollback work after a failed release? A rollback is ready before each production release. After the deploy, the DevOps Agent runs a quick smoke test; if it fails, the previous version goes back in place straight away, with no manual step. Once service is restored, it works out the likely cause, sends code problems to your development team and writes a plain-English incident report. ### What should release management check before a change goes live? That every required check on the change has passed, and that the release is confirmed by you or by the agent that manages that part of your system. No release reaches production without both; you are asked when a real decision needs a person, while pipelines and staging can be set up without that step. The Platform Architect sets the standard, and the DevOps Agent makes sure those checks are enforced in every pipeline. It applies the rules; it does not write them. ### Does the DevOps Agent write code, and how are its deploy credentials handled? No. It ships code your development team has already written and tested. It does not build features or fix application bugs. Your system administrator provides its credentials. It holds only what it needs for the pipelines it runs, and credentials are never shown in chat or logs. ## More on this topic - [Multi-Agent Development: Why the Future of Software Is Built by AI Teams](https://myzone.ai/pages/blog/multi-agent-development): Discover how multi-agent AI systems are transforming software development. Teams of specialised AI agents build products 10x faster at lower cost. ## About Ai1 Ai1 is the AI operations platform by MyZone AI, where each client runs on its own private server. The DevOps Agent is included on every Ai1 level, including Developer Core, with no per-agent charge. It works alongside the other Ai1 agents on your account. Pricing: https://myzone.ai/pages/services/ai1-pricing. Security: https://myzone.ai/pages/security.