CASE STUDY: AI-Enabled Vibe Coding Workshop for Enterprise Teams

How we trained enterprise teams to build working apps with Claude Code.

Working apps built in under an hour

---

The Client & Context

A global enterprise services company specializing in AI-powered analytics, digital operations, and business process management. They partner with Fortune 500 clients across financial services, telecom, media, retail, and manufacturing.

The Challenge

Teams relied on undocumented knowledge:

• Prototyping, code review, and project handoffs were manual

• Onboarding to inherited projects was slow and error-prone

• No standardized workflow for AI-assisted development

  
  

Our Solution

A structured 2-day hands-on program: Vibe Coding with Claude Code, calibrated for a mixed audience of developers and non-technical project leads trained side by side. Some areas covered:

• Why Claude Code: reasons across an entire codebase, not single files

• Setup and orientation: CLAUDE.md as project constitution, Plan Mode, permissions

• Build from scratch: live coding from empty folder to working app

• Add features to existing apps: exploring unfamiliar codebases, handling problems, knowing when to reset

• Team standards: CLAUDE.md as shared documentation, skills, subagents, the Test-Driven Development (TDD) prototyping cycle

Format & Methodology

• 4.5-hour sessions, scalable from batches of 100 to 1,000+ participants

• Mixed audience: developers and non-technical project leads trained together

• Live demos with step-by-step narration (why this approach, what alternatives exist)

• Interactive throughout: discussion prompts, polls, real-time Q&A

Technologies & Tools

• Claude Code (Anthropic)

• Visual Studio Code as the primary editor environment

• CLAUDE.md for project and team configuration

• Plan Mode for structured reasoning before execution

• TypeScript/Vite for prototype builds

• Skills and Subagents

---

Business Benefits

• Faster prototyping: slashed development cycles from days to under an hour.

• Reduced rework: Plan Mode and TDD catch issues before they compound

• Knowledge preserved: CLAUDE.md captures team conventions that used to vanish when people left

• Scalable onboarding: new members read the same file Claude reads

• Mixed-role empowerment: non-developers can direct AI to build tools for their own workflows

Outcomes

• During the workshop, participants built working prototypes from scratch in under an hour.

• Non-technical team members completed scenario-based assignments independently.

• Day 1 feedback was folded into Day 2 delivery in real time, and the program scaled across multiple batch sizes.

"Thank you for your time, effort, and support throughout this engagement. A special thanks for the excellent coordination and managing the execution so effectively."

— Engagement stakeholder

Key Takeaways from Delivery

→ Analogies bridge technical and non-technical participants. We designed each concept with a concrete comparison, calibrating language to various technical experience levels.

→ Step-by-step narration during live demos increases retention. "Why this approach" and "what's the alternative" went into every demo segment.

→ Structured interaction beats open Q&A for large groups. Pre-placed questions at specific moments drove participation consistently.

→ Scenario-based assignments connect faster than abstract exercises. Every concept tied back to work participants already do.

---

Why Mission Automate

Practitioner-led: we build with AI tools daily. 20+ years of AI and software development experience, 100+ AI projects, Fortune 500 clients. Upwork Expert-Vetted (top 1% of AI contractors), and featured on AWS SageMaker for innovative ML deliveries.

---

⭐ How Can Mission Automate Bring Value? Let's chat about your specific case.

Contact us on LinkedIn! ⭐

---

How ready is your team for AI?

Take our AI Readiness Scan

---