Claude Code Production Grade Plugin v3.0 Released: Autonomous Software Development Pipeline

Production Grade Plugin v3.0 for Claude Code

Production Grade Plugin v3.0 for Claude Code has been released as free, open-source software under MIT license. The plugin enables autonomous software development through a full pipeline triggered by prompts like "Build a production-grade SaaS for restaurant management."

Installation and Setup

Install with two commands:

/plugin marketplace add nagisanzenin/claude-code-plugins
/plugin install production-grade@nagisanzenin

No extra API keys are required. The workflow is: install → trigger → approve 3 times → get production-ready output.

Core Architecture

The plugin uses 13 AI skills that act as an engineering team:

• Product manager
• Solution architect
• Software engineer
• Frontend engineer
• Data scientist
• QA
• Security engineer
• Code reviewer
• DevOps
• SRE
• Technical writer
• Skill maker
• Master orchestrator

Production-Grade Features

The plugin generates output built to ship, not just prototypes:

Multi-Cloud Infrastructure

• Terraform modules for AWS, GCP, or Azure
• Provider-agnostic by default
• ECS/EKS, GKE/Cloud Run, AKS selection based on requirements

CI/CD Pipelines

• GitHub Actions with security scanning
• Multi-stage Docker builds
• Kubernetes manifests ready to deploy

Production Standards

• Health checks (/healthz, /readyz)
• Structured JSON logging with trace IDs
• Graceful shutdown
• Circuit breakers
• Rate limiting
• Feature flags
• Multi-tenancy at the data layer

Security Implementation

• STRIDE threat modeling
• OWASP Top 10 code audit
• Dependency vulnerability analysis
• PII inventory
• Encryption strategy
• Actual code fixes, not just checklists

Testing

• Unit, integration, e2e, and performance tests
• Self-healing test protocol
• Coverage reports included

v3.0 New Features

• 7 parallel execution points: Backend + Frontend build simultaneously, Security + Code Review run in parallel
• Config layer for existing projects: Point at an existing codebase for adaptation instead of starting from zero
• Skill conflict resolution: Priority-weighted protocol resolves conflicts autonomously when Security flags something the Software Engineer wrote
• Native Teams/TaskList orchestration: Uses Claude Code's native Agent Teams with dependency tracking

Practical Usage

Simple SaaS apps (5-10 endpoints) work out of the box. Complex platforms need more guidance at approval gates. Every agent self-debugs using write → run → fix → retry with maximum 3 attempts. No stubs or TODOs are generated - builds pass or don't move on.

Partial pipelines are supported with commands like "Just define," "Just harden," "Skip frontend," or "Deploy on AWS" - the orchestrator adapts accordingly.

The developer is seeking feedback, particularly from users who tried v2.0, with specific interest in how the multi-cloud infrastructure and conflict resolution features perform in real-world setups.