KubeRocketAI

AI-as-Code framework for structuring AI-assisted software development. Define AI agents as version-controlled Markdown files with YAML frontmatter.

Problem

Enterprise teams face critical challenges when scaling AI agents across development workflows:

• Fragmented AI Tool Ecosystem: Different AI tools (web interfaces, Cursor, Claude Code, VS Code) have separate configurations and capabilities, creating inconsistent experiences
• Agent Portability Issues: Agents work in one tool but can't be easily transferred or scaled across different codebases and team environments
• Lack of Centralized Management: No enterprise-wide approach to manage, version, and distribute AI agents and their capabilities
• IDE-to-Web Context Gaps: Agents available in web interfaces aren't accessible in IDEs, forcing developers to switch contexts
• No Version Control for AI Logic: Changes to agent prompts, tools, and capabilities happen without proper review, versioning, or audit trails
• Enterprise Scaling Bottlenecks: Difficult to quickly deploy proven agents across multiple projects and teams

Solution

KubeRocketAI provides a centralized golden library of AI agents that can be version-controlled, reviewed, and deployed consistently across IDEs and projects. Agents are defined as simple Markdown files.

High Level Project Diagram

This diagram illustrates the AI-as-Code approach for AI agents, showing how KubeRocketAI enables declarative AI-as-Code management within existing developer workflows.

graph TD
    subgraph "Local Developer Environment"
        Developer["👨‍💻 Developer<br/>Uses existing tools"]
        CLI["🛠️ krci-ai CLI<br/>📦 Embedded Framework Assets<br/>🔧 AI-as-Code Management"]
        IDE["🎨 AI-Powered IDE<br/>Native Integration<br/>(No plugins required)"]
        LocalFramework["📁 ./krci-ai/<br/>🔗 Declarative AI Agents<br/>📋 Extracted + Local"]
        TargetProject["💻 Target Project<br/>🔀 Git Repository"]
    end

    subgraph "Internet/Cloud (Post-MVP)"
        GoldenRepo["🏢 Golden Source<br/>🔗 Git Repository<br/>🤖 AI-as-Code<br/>🔮 Future Enhancement"]
    end

    Developer --> CLI
    Developer --> IDE
    CLI -->|"📦 Extract embedded assets<br/>Offline operation"| LocalFramework
    IDE -.->|"📖 Reads declarative configs<br/>Native filesystem access"| LocalFramework
    LocalFramework --> TargetProject
    GoldenRepo -.->|"🔮 Post-MVP: Remote updates<br/>Community contributions"| CLI
    TargetProject -.->|"🔄 Future: Contribute back<br/>Local customizations"| GoldenRepo

    style CLI fill:#e3f2fd,stroke:#1976d2,stroke-width:2px
    style IDE fill:#fff3e0,stroke:#f57c00,stroke-width:2px
    style GoldenRepo fill:#f0f0f0,stroke:#999999,stroke-width:1px,stroke-dasharray: 5 5
    style LocalFramework fill:#f3e5f5,stroke:#7b1fa2,stroke-width:2px

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Current Status

In Development - Core CLI tool and agent framework are being implemented.

What's Available

• Basic CLI structure (krci-ai)
• Project documentation and architecture
• CI/CD pipeline for releases

What's Planned

• Agent playbook with SDLC role definitions
• Two-tier validation system
• IDE integration support
• Multi-platform distribution

Installation

macOS - Homebrew (Recommended)

# Add the KubeRocketCI tap
brew tap KubeRocketCI/homebrew-tap

# Install krci-ai
brew install krci-ai

Linux - Direct Download

# Download and extract latest release
curl -L "https://github.com/KubeRocketCI/kuberocketai/releases/latest/download/krci-ai_Linux_x86_64.tar.gz" | tar -xz
chmod +x krci-ai
sudo mv krci-ai /usr/local/bin/

Windows - Direct Download

1. Download the latest release: krci-ai_Windows_x86_64.zip
2. Extract the zip file
3. Add the krci-ai.exe to your PATH or move it to a directory in your PATH

Build from Source

git clone https://github.com/KubeRocketCI/kuberocketai.git
cd kuberocketai
make build

Update & Uninstall

# Update via Homebrew
brew update && brew upgrade krci-ai

# Uninstall via Homebrew
brew uninstall krci-ai

Usage

Quick Start

# Install framework with IDE integration
krci-ai install --ide=cursor

# List available agents
krci-ai list agents

# Install with all IDE integrations
krci-ai install --all

Common Use Cases

1. Setting up AI-as-Code in existing project:

cd my-project
krci-ai install --ide=claude --force
krci-ai list agents -v

2. Enterprise team setup with all IDE support:

krci-ai install --all
# Creates .krci-ai/, .cursor/rules/, .claude/commands/

3. Discovering available agents after installation:

krci-ai list agents
# Shows: developer, architect, qa agents with roles

Target Users

• Enterprise Development Teams: Need transparent, auditable AI workflows
• Individual Developers: Want lightweight, customizable AI framework

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

Apache-2.0 License - see LICENSE for details.