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Workshop2-Day Program

Agentic AI Coding
Enablement Masterclass

Transform your team's AI potential through strategic competency building. In two days, participants transition from theory to measurable business impact with installed tools, connected integrations, and documented adoption roadmaps ready for immediate deployment.

Format

Instructor-led, hands-on workshop

Duration

Day 1: 8 hours (with breaks)
Day 2: 8 hours (optional, advanced)

Delivery

Virtual or on-site

Ratio

3:1 hands-on to lecture

Instructor

Basil Chatha

Why this workshop

Four pillars of competency

Immediate Practical Results

Produce real deliverables in under 2 minutes. Establish immediate value perception and build confidence from hour one.

Economic Clarity

Master token economics and model selection. Build customized ROI models that demonstrate clear business justification.

Operational Integration

Connect critical systems via MCP servers. Enable AI access to repositories and databases securely, reducing friction.

Repeatable Excellence

Master the AIDLC framework. Transform one-off AI usage into enterprise-scale, auditable workflows.

Day 1

AIDLC Foundations That Deliver From Hour One

From installation to production. 7 modules covering setup, economics, tool integration, the AIDLC framework, end-to-end workflows, and reusable systems.

Environment Setup & Installation
The 2-Minute Challenge
Quality Validation & Output Review
Token Economics Fundamentals
Model Selection Framework
ROI Baseline Model Development
Model Context Protocol (MCP) Overview
MCP Server Configuration Workshop
MCP Tool Usage Patterns
AIDLC Framework Introduction
The Plan/Clarify/Implement Loop
Human Approval Gates & Governance
Repeatability & Documentation Standards
End-to-End Agentic Workflow Demonstration
Hands-On Workflow Execution
Workflow Optimization & Best Practices
CLAUDE.md Fundamentals
CLAUDE.md Creation Workshop
Session Management Commands
Advanced Session Strategies
KPI Framework Finalization
Day 2 Workshop Preview

Day 1 Outcomes

Claude Code installed with 2-3 MCP servers connected and operational
One complete AIDLC workflow mapped, executed, and documented for your role
KPI baseline defined with cycle time, quality metrics, and workflow cost calculations
Day 2 (Optional)Advanced

From Pilot to Production: Scaling AI-Driven Development

Advanced instructor-led workshop with role-specific tracks and production implementations. 5 modules covering skills, automation, parallel execution, and enterprise adoption.

Skills Framework Architecture
Skill Design Workshop
Skill Implementation Hands-On
Skill Deployment & Team Adoption
Production Automation Architecture
Code Quality Automation Setup
Test Automation and Coverage Gates
Safety Guards and Security Automation
Notification and Communication Automation
Parallel Execution Concepts and Architecture
Git Worktree Strategy and Implementation
Subagent Patterns for Task Decomposition
Agent Teams and Role Specialization
Track A: Engineering Excellence
Track B: Product Management Delivery
Track C: Marketing Content Creation
Track D: Analytics & Data Science
Skills and Automation Integration
Implementation Roadmap Creation

Day 2 Outcomes

At least one deployed, production-ready skill codifying a repeated AIDLC workflow
Comprehensive automation hooks for quality, safety, testing, and notifications
Advanced techniques and best practices for your specific professional role

Framework

The AIDLC: AI-Driven Development Life Cycle

01

Research

Gather requirements, user data, competitive analysis via MCP-connected tools.

02

Synthesis

Process inputs into structured insights using custom skills and prompt engineering.

03

Specification

Generate PRDs, technical specs, and architecture docs with skills and MCP sync.

04

Visualization

Create diagrams, presentations, and stakeholder artifacts via sub-agents.

05

Implementation

Produce tickets, code scaffolds, and test plans with Linear/Jira MCP integration.

06

Iteration

Feedback loops, refinement, and version control through hooks and GitHub integration.

Included

What participants and companies get

For Participants

Full Day 1 workshop (Day 2 optional)
Cheat sheet, templates, and prompt patterns
Monthly intelligence newsletter
Monthly expert office hours (60 min)
30-minute follow-up Q&A within one week
Artifacts pack: team guidelines and starter prompts

For Companies

Sustained adoption, not a one-and-done event
Faster onboarding of new developers onto AI workflows
Fewer repeated questions and blockers across teams
Measurable KPIs and ROI framework from day one
Private cohort delivery tailored to your stack
Continuous learning flywheel with ongoing support

Before you arrive

Prerequisites

Claude Max subscription ($100/mo minimum; $200/mo for heavy usage)
Terminal proficiency (comfortable with cd, ls, basic shell navigation)
Access credentials for tools to connect (Google Workspace, Linear/Jira, etc.)
GitHub account (free tier sufficient)
Recommended: IDE with terminal integration (VS Code, Cursor, etc.)

Frequently asked questions

Technical teams, engineering leads, product managers, and any professional who wants to integrate agentic AI coding workflows into their daily work. Both individual contributors and team leads benefit.

No. Day 1 starts from installation. However, you should be comfortable with basic terminal navigation (cd, ls, etc.) and have a GitHub account.

Day 2 is optional but recommended. Day 1 gives you production-ready foundations. Day 2 takes you to enterprise scale with parallel execution, automation hooks, and role-specific deep dives.

AI-Driven Development Life Cycle. A 6-phase framework (Research, Synthesis, Specification, Visualization, Implementation, Iteration) that transforms ad-hoc AI usage into repeatable, governed workflows.

Cheat sheets, templates, prompt patterns, monthly expert office hours (60 min), and a monthly intelligence newsletter with updates, tips, and experiments to try.

Yes. We offer private cohort delivery tailored to your tech stack, tools, and workflows. Contact us to discuss team pricing and scheduling.

Instructor-led, hands-on workshop. The ratio is approximately 3:1 hands-on to lecture. Every participant builds and ships real deliverables during the session.

Yes. A 30-minute follow-up Q&A session is scheduled within one week. Ongoing support includes monthly office hours and an intelligence newsletter.

Ready to enable your team?

Schedule a call to discuss your team's needs, timeline, and delivery format. We tailor every cohort to your stack and workflows.