aidevops: Autonomous AI DevOps Framework for 100x Developer Productivity

Introduction

aidevops is an AI DevOps framework and an OpenCode plugin designed to streamline complex development, business, and creative projects. It tackles the challenge that while "Vibe-Coding is easy, DevOps is hard," by providing token-efficient AI agent automation for your applications, business, and personal development. This framework layers value and automation onto information flows, ensuring that work across various domains can be codified, systemized, and improved using DevOps principles.

Unlike many AI tools that require extensive manual coordination, aidevops structures the work so that AI agents can share context, operate safely in parallel, optimize model budget usage, and continuously improve the system. It is built with an open-source first philosophy, aiming for state-of-the-art results and offering opinionated tools, services, CLI, and API stack for speed, security, and 24/7 operations.

Why Use aidevops and Key Benefits

aidevops is built to bridge the gap between "the model can probably do this" and "the work is actually done, verified, safe, and worth the cost." Here are its key advantages:

Autonomous Operations: The "Pulse Supervisor" acts as the autonomous AI heartbeat, running every two minutes to merge ready PRs, dispatch workers, detect and fix stuck work, advance multi-day "Missions," triage quality findings, and sync TODO states with GitHub. This enables end-to-end project delivery without constant human intervention.
Enhanced Safety and Efficiency: Critical operations, such as force pushes or production deployments, are subject to "Multi-Model Verification," where a second AI model from a different provider independently assesses safety, reducing correlated hallucinations. The framework also employs "Cost-Aware Routing," directing tasks to the most appropriate and cost-effective AI models (e.g., GPT-5.6 Luna for bounded work, GPT-6 Astra for consequential reasoning) and utilizes "Token-Efficient Serialisation" (TOON format) to minimize context overhead.
Extensive Integrations: With over 30 service integrations and 19 Model Context Protocol (MCP) servers, aidevops offers comprehensive coverage for infrastructure, hosting, domain, DNS, development platforms (GitHub, GitLab), design, mobile app testing, video creation, WordPress, and more. This allows agents to interact with a wide array of tools and services seamlessly.
Self-Improving Agent System: Agents in aidevops are designed to learn from experience. The @agent-review feature analyzes session outcomes, suggests improvements to agent files, and can even compose pull requests to contribute these enhancements back to the framework. This creates a continuous feedback loop for better agent performance and framework evolution.
Parallel Development and Workflows: It supports "Multi-Agent Orchestration" where multiple AI agents work in parallel on isolated Git worktrees, coordinated through a lightweight mailbox system. Features like "Runners" provide persistent agent identities, and "Session Management" allows for spawning and resuming parallel AI sessions, significantly boosting productivity.
Robust Security and Quality Control: aidevops incorporates a "Vault security model" for protected data, comprehensive security commands (aidevops security), and multi-platform quality analysis integrations (SonarCloud, CodeFactor, Codacy, CodeRabbit). It also includes features like "Supply Chain Hardening" and "Secretlint" to ensure code integrity and prevent credential exposure.

Installation

Getting started with aidevops is straightforward. The recommended method is via npm:

npm install -g aidevops && aidevops update

Alternatively, you can use Bun or Homebrew:

bun install -g aidevops && aidevops update
# Or for Homebrew (macOS/Linux):
brew install marcusquinn/tap/aidevops && aidevops update

The aidevops update command deploys agents to ~/.aidevops/agents/ and configures your AI assistants automatically. After installation, launch OpenCode and type /onboarding for an interactive setup wizard that will guide you through configuring services and personalized recommendations.

Examples

Here are a few examples of how you can use aidevops to enhance your development workflow:

Initialize aidevops in any project:

cd ~/your-project
aidevops init # Enable the default feature set
aidevops init planning,time-tracking # Enable specific features

Scope an autonomous mission:
```
/mission "Redesign the landing pages for mobile-first with A/B testing"
```
The pulse supervisor will then break this goal into milestones, dispatch workers, validate progress, and track the budget automatically.
Run iterative quality checks with auto-fix:
```
/preflight-loop --auto-fix --max-iterations 10
```
This command runs quality checks repeatedly, attempting to fix issues automatically until all checks pass or the maximum iterations are reached.

Work on isolated branches using Git Worktrees:

wt switch -c feature/my-new-feature
# This creates a new worktree and switches to it, allowing parallel development.

Store and recall knowledge across sessions:

/remember "Fixed CORS with nginx headers by adding 'add_header Access-Control-Allow-Origin *;'"
/recall "nginx CORS fix"

This helps build a persistent knowledge base for your AI agents.

Perform a comprehensive security assessment:
```
aidevops security
```
This single command covers user security posture, plaintext secret detection, supply chain IoC scanning, and active advisories.