Agentic Dev Template: Production-Grade AI Collaborative Development Infrastructure Template

With the improvement of large language models like Claude and GPT-4, development teams are exploring AI integration but lack systematic collaboration norms and automated quality assurance. This template is open-sourced by Camille1024, with the core concept: 'CLAUDE.md is the behavioral contract for AI, CI is the quality red line, and the template makes all this replicable.' It aims to transform AI into a continuously collaborating team member through standardized configurations.

Production validation data from the real project 'wesay':

• 100% compliance rate of PR title norms (enforced by GitHub Action)
• ~70% success rate of automatic CI fixes (Claude reads logs to fix lint/format issues)
• Issue-to-PR response time <5 minutes (@claude triggers automatic PR creation)
• Code standard violation rate approaches 0 (AI adheres to CLAUDE.md constraints) Key insight: When AI has clear context (CLAUDE.md) and an automated feedback loop (CI), its output quality can exceed the average human level and response speed is faster.

Quick Deployment (30-second process):

1. Create a repository: Click "Use this template" to copy the complete structure
2. Configure API key: Add ANTHROPIC_API_KEY to the repository's Secrets
3. Customize CLAUDE.md: Fill in TODO items like architecture constraints and code standards
4. Configure CI workflow: Replace the check commands in ci.yml
5. Initialize labels: Trigger the sync-labels.yml workflow
6. Start using: Trigger AI responses with @claude or submit PRs

Core Content:

• AI configuration: CLAUDE.md (behavioral quick reference: architecture/code standards, etc.), Agent.md (detailed background)
• GitHub Actions: claude.yml (@trigger), pr-check.yml (PR norms), ci.yml (CI fixes)
• Templates: Standardized Issue/PR templates, Tauri+React/Next.js sample projects

1. CLAUDE.md as a behavioral contract: Explicitize the team's tacit knowledge into hard constraints that AI can follow
2. CI as the quality red line: AI-generated code must pass the same quality checks as human-written code
3. Template + placeholder reuse: Directly reuse the general structure, mark project-specific content with TODO
4. Progressive adoption: Start with lightweight configurations (claude.yml + CLAUDE.md), then gradually enable other workflows

Applicable Scenarios:

• Startup teams (lack of full-time DevOps)
• Open-source projects (lower contribution barriers)
• Remote teams (asynchronous collaboration needs)
• Projects with heavy technical debt (refactoring support)

Notes:

• API cost: Monitor usage and set a budget cap
• Context limit: Streamline core content of CLAUDE.md
• Security compliance: Use GitHub Secrets to manage keys, evaluate data processing terms

This template represents a key step in AI-assisted development from 'toy' to 'production tool', providing a replicable collaboration model. The future roadmap includes support for more AI models, tech stack examples, VS Code extensions, and ROI dashboards. The ultimate vision is to establish an 'AI-native development' best practice system and redesign development methodologies optimized around AI capabilities.