Chapter 9

Team growth and career development

Design clear skill-upgrading paths and career development tracks, and establish a comprehensive training plan to help team members keep growing.

Skill improvement path

A clear path for skill growth, from beginner to expert.

Beginner → Intermediate

Skill requirements
  • • Proficient in using basic tools (Cursor, Copilot)
  • • Able to create simple Skill
  • • Understand the basics of prompt engineering
  • • Master code completion techniques
Learning focus
  • • Basic usage of tools
  • • Basics of prompt engineering
  • • Skill creation basics
  • • Code review basics

Intermediate → Advanced

Skill requirements
  • • Master advanced tool features (Agent, MCP)
  • • Able to design complex workflows
  • • Understand architecture choices
  • • Master cost optimization techniques
Learning focus
  • • Deep use of Agent mode
  • • MCP Server configuration and development
  • • Complex workflow design
  • • Architectural trade-off thinking

Advanced → Expert

Skill requirements
  • • Tool selection and architecture design
  • • Team knowledge management
  • • Technical roadmap planning
  • • Cross-departmental collaborative design
Learning focus
  • • Tool evaluation method
  • • Architecture design capability
  • • Knowledge management system design
  • • Team culture building

Career development

A clear career development path helps team members plan their career trajectory.

AI Engineer → AI Architect

Technical Depth
  • • Deep understanding of AI tool principles
  • • Master multiple tools and architectures
  • • Understand technical trade-offs
Technical breadth
  • • Understand multiple tools and architectures
  • • Master tool selection methods
  • • Understand technology trends
Architecture capabilities
  • • Able to design technical solutions
  • • Has architectural trade-off thinking
  • • Able to plan a technical roadmap

AI Engineer → AI Product Manager

Product thinking
  • • Understand user requirements
  • • MVP mindset
  • • Product design skills
Communication skills
  • • Requirement clarification ability
  • • Team collaboration skills
  • • Cross-functional communication skills
Project management
  • • Project planning skills
  • • Progress management capability
  • • Risk management capability

Training plan

Design targeted training plans for team members at different stages.

New employee training (5 weeks)

Tool fundamentals training (2 weeks)
  • • Cursor installation and configuration
  • • Fabric installation and configuration
  • • Basic prompt engineering
  • • Use code completion
Hands-on project training (2 weeks)
  • • Complete the first hands-on project
  • • Skill creation practice
  • • Practical use of Patterns
Knowledge base usage training (1 week)
  • • Use of the Skill library
  • • Using the Patterns library
  • • Learn best practices

Advanced training (3 weeks)

Advanced Feature Training (1 week)
  • • Deep use of Agent mode
  • • MCP Server configuration
  • • Complex workflow design
Architecture Design Training (1 week)
  • • Tool selection methods
  • • Architectural trade-off thinking
  • • Technical roadmap planning
Team collaboration training (1 week)
  • • Cross-department collaboration
  • • Knowledge management
  • • Culture building

Hands-on practice

Practice suggestion:

  • 1Design a skill-upgrading path (a complete path from beginner → intermediate → advanced → expert)
  • 2Develop a training plan (new hire training, advanced training, expert training)
  • 3Build a career development framework (career paths, evaluation criteria, development plans)

Learning outcomes

After completing this chapter, you will:

  • 1Master methods for team growth (skill improvement paths, career development tracks)
  • 2Able to design career development paths (AI Engineer → AI Architect/Product Manager)
  • 3Understand the importance of training (new hire training, advanced training, expert training)