KubeRocketAI is a declarative framework for AI-driven software development. It enables teams to define, validate, and orchestrate AI agents as code. This makes the software development lifecycle (SDLC) transparent, auditable, and CI/CD-ready. It integrates with tools like VSCode, Cursor, and Windsurf, benefiting operations teams by automating and streamlining software development workflows.
git clone https://github.com/KubeRocketCI/kuberocketai.gitKubeRocketAI is a declarative framework for AI-driven software development. It enables teams to define, validate, and orchestrate AI agents as code. This makes the software development lifecycle (SDLC) transparent, auditable, and CI/CD-ready. It integrates with tools like VSCode, Cursor, and Windsurf, benefiting operations teams by automating and streamlining software development workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/KubeRocketCI/kuberocketaiCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a KubeRocketAI configuration file for a [COMPANY] in the [INDUSTRY] sector. The configuration should include AI agents for [SPECIFIC TASKS], integrating with [TOOLS] like VSCode and Cursor. Ensure the configuration is CI/CD-ready and includes validation rules for the AI agents' outputs.
# KubeRocketAI Configuration for [COMPANY]
```yaml
apiVersion: kuberocketai/v1
kind: AIWorkflow
metadata:
name: [COMPANY]-ai-workflow
spec:
agents:
- name: code-review-agent
type: code-review
tools:
- vscode
- cursor
validation:
- rule: "output must be in markdown format"
- rule: "output must include at least 3 suggestions"
- name: deployment-agent
type: deployment
tools:
- windsurf
validation:
- rule: "output must include deployment status"
- rule: "output must include error handling steps"
ci/cd:
- pipeline: "github-actions"
- pipeline: "gitlab-ci"
```
## Agent Descriptions
### Code Review Agent
- **Purpose**: Automates code review process
- **Tools**: VSCode, Cursor
- **Validation Rules**: Output must be in markdown format, include at least 3 suggestions
### Deployment Agent
- **Purpose**: Automates deployment process
- **Tools**: Windsurf
- **Validation Rules**: Output must include deployment status, error handling steps
## CI/CD Integration
- **Pipelines**: GitHub Actions, GitLab CI
- **Triggers**: On push to main branch, on merge requestsPowerful code editor with intelligent completion, version control, and debugging tools.
AI-powered code editor by Codeium
Create and collaborate on interactive animations with powerful, user-friendly tools.
Automated Meeting Reports Transcripts Notes Video Coaching
Enterprise workflow automation and service management platform
Automate your spreadsheet tasks with AI power