PROJECT 1THE CENTERPIECE
Create a complete feature from FairMind requirement to tested, traceable code with full TDD cycle and enterprise governance.
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Who Should Attend
This workshop is ideal for:
Software Engineers
Seeking to accelerate development velocity with AI assistance
Tech Leads
Wanting to implement AI-powered development workflows in their teams
DevOps Engineers
Interested in automating code review and quality assurance
Development Teams
Transitioning to agentic coding practices
Prerequisites
- Basic familiarity with agentic coding tools (e.g., Claude Code, Cursor, or similar)
- Solid programming experience in at least one modern language
- Proficiency in version control with Git
- Understanding of API concepts and testing fundamentals
Key Benefits
Participants will gain the ability to:
Accelerate Development
Implement features 3-5x faster with AI-assisted coding
Improve Code Quality
Deploy automated review and security analysis agents
Increase Traceability
Link code directly to business requirements via FairMind integration
Automate Workflows
Build CI/CD pipelines with AI-powered PR review and task implementation
Reduce Technical Debt
Leverage specialized debugging agents for systematic bug resolution
Scale Team Productivity
Share reusable agents and workflows across development teams
Workshop Program
Morning Session: Theoretical Foundations & Core Concepts
Agent Fundamentals and Agentic Coding
Part 1- What is an agent?
- Prompt Engineering vs Context Engineering
- What is agentic coding? Paradigm shift from traditional development
- Claude Code architecture and capabilities
- Security model and permissions
- Live demonstration of core capabilities
Claude Code Extensibility
Part 2- Commands - Creating built-in and custom commands for workflow automation
- Hooks - Automatic triggers for formatting, testing, and security validation
- Subagents - Specialized agents with context isolation (10x-100x token efficiency)
- Skills - Reusable knowledge libraries for domain-specific expertise
- CLAUDE.md - Project conventions and team collaboration standards
Tools & Enterprise Integration
Part 3- Tool architecture and design principles
- Model Context Protocol (MCP) for external system integration
- FairMind integration for agent orchestration and task development
- Live demonstration: From FairMind requirement to tested code
Professional Workflows & Best Practices
- Context EngineeringMemory management and token optimization
- Plan ModeExtended thinking capabilities for complex features
- Automated ReviewCode review and security analysis agents
- Team CollaborationShareable configurations via Git
Afternoon Session: Hands-On Projects
Participants complete three progressive projects demonstrating production-ready workflows:
PROJECT 2
Debug and fix realistic bugs using security-reviewer and performance-analyzer agents with automated quality hooks.
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PROJECT 3
Automate PR review and task implementation using Claude Code in production pipelines with full GitHub integration.
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Workshop Deliverables
Participants leave with working implementations and comprehensive knowledge assets
Immediate Outputs
- FairMind MCP integration configuration
- Specialized agent library (security, performance, code review, documentation)
- Custom hooks for automated quality assurance
- GitHub Actions workflows for PR automation
- CLAUDE.md template for team collaboration
Knowledge Assets
- Comprehensive understanding of the agentic coding paradigm
- Framework-agnostic agent patterns applicable to any tech stack
- Best practices for context engineering and token optimization
- Security patterns for AI-powered development workflows
Transformation Capabilities
- Development Speed: 3-5x acceleration on feature implementation
- Code Quality: Automated review and security analysis on every change
- Team Scalability: Shareable agents and conventions across the entire organization
Official Certification
FairMind Certified: Agentic Development Professional
All participants receive an official FairMind certification upon workshop completion, validating your expertise in agentic coding practices and AI-powered development workflows.
Optional Add-Ons
Extend the workshop value with customized sessions for your organization
Activity-based • Customized
Assisted Real Project Work
Our expert joins your team to work on an actual company project, immediately applying the skills learned.
Activity Types:
- Debugging and complex bug resolution
- Performance analysis and optimization
- New feature development
- CI/CD pipeline setup
- Code review and refactoring
Customized session
Custom Agent Creation
Deep-dive session on creating agents, subagents, and skills tailored to your company's specific needs.
What's Included:
- Analysis of existing development workflows
- Design and implementation of specialized agents
- Creation of reusable skills for company knowledge
- Customized CLAUDE.md template
Customized session
MCP Tools Deep Dive
Dedicated session on the Model Context Protocol ecosystem to integrate Claude Code with your organization's enterprise systems.
What's Included:
- Mapping of integrable company systems
- Research and selection of suitable MCP servers
- Creation of custom MCP tools
- Security and credential management best practices
Investment & ROI
Workshop Investment
1 day of intensive training (in-person, remote, or hybrid)
Typical Payback Period: 2-4 weeks based on accelerated delivery and quality improvements
Expected ROI
3-5xfaster feature implementation
80%+reduction in bugs reaching production
- Automatic vulnerability detection on every code change
- Reusable agents that reduce repetitive work
- Complete requirement-to-code linking improving compliance
Calculate Your Team's Time Savings
Select a productivity scenario and see the impact on your team
Productivity Increase Scenario
- Time Saved Per Developer50days/year20% productivity gain
- Total Team Time Saved1,000man-days/year4 full-time developers' worth of work
- ROI Timeline2-4weeksTypical payback period
Why This Workshop
Practical & Immediately Applicable
Every concept is demonstrated through real-world scenarios. Participants work with real requirements, fix realistic bugs, and build production-ready CI/CD pipelines.
Language Agnostic
Whether your team uses JavaScript, Python, Go, or Rust, all examples and projects support multiple programming languages. Agents and patterns learned are universally applicable.
Tool-Agnostic Skills
While we use Claude Code as our primary training environment, the skills you acquire are fully transferable. The agentic coding principles, workflow patterns, and best practices apply to any AI-powered development tool, ensuring your investment remains valuable as the ecosystem evolves.
Production-Ready Focus
No toy examples. Participants build systems they can deploy immediately, with appropriate safety boundaries, error handling, and team collaboration patterns.
Expert Instruction
Learn from professionals who use these techniques daily in production environments. Benefit from real-world lessons and battle-tested patterns.
Transform Your Development Team
Master agentic coding and AI-powered development workflows. Learn enterprise orchestration with FairMind. Build production-ready systems in one intensive day.