In-Person · English Language · 2026

AI Workshop for Product & Dev Teams

One focused morning. Walk in with scattered AI experiments — walk out with a systematic framework for integrating AI into your product development, code review, testing, and deployment workflows.

Ho Chi Minh City · March 2026 Da Nang · April 2026 Conducted in English Details To Be Announced
2026

See you soon

Ho Chi Minh City Location
🏙️

Saigon Chapter

TBA

Ho Chi Minh City

March 2026

Vietnam's tech hub. Bring your product or engineering team for a focused, hands-on session on embedding AI into your development workflows. Language: English. Duration: 9:30 AM – 12:00 PM. Venue: TBC.

Details Coming Soon
Da Nang Location
🌊

Da Nang Chapter

TBA

Da Nang

April 2026

Vietnam's innovation gateway on the coast. A concentrated workshop for dev teams ready to systematically integrate AI into their product lifecycle. Language: English. Duration: 9:30 AM – 12:00 PM. Venue: TBC.

Details Coming Soon
What You'll Experience

Built for teams that ship

One focused morning to install the AI operating layer your engineering team has been missing.

Hands-On AI Integration

No slides-only theory. Your team leaves with real AI-powered workflows configured for your specific product and dev processes.

Team-Sized Cohort

Designed for product and engineering teams of 5–30. Deep, collaborative sessions — not a generic conference talk.

AI-Augmented Dev Workflows

From AI-assisted code review and prototyping to automated testing and deployment — integrate AI into every stage of your SDLC.

Reclaim 5–10 hrs/week per dev

Every framework taught is designed to eliminate repetitive engineering toil — so your team ships faster, not harder.

In-Person Only

The best breakthroughs happen in rooms. This is deliberately offline — focused, present, and distraction-free.

Same-Day Results

Structured so your team is implementing, not planning. Walk away with at least one live AI-powered workflow integrated into your stack.

Real Outcomes

What your team builds in one morning

We cover the full product development lifecycle — from discovery to deployment. Here's what your team walks away with.

💡 Product Discovery & PRDs

Turn vague requirements into structured product specs, user stories, and technical briefs — using AI to do the research, competitive analysis, and spec generation in under 30 minutes

Tools: ChatGPT, Google AI Studio, NotebookLM
📦 Rapid Prototyping

Go from concept to a clickable, working prototype in minutes — using AI tools that generate UI components, wireframes, and front-end code from plain-language descriptions

Tools: Lovable.dev, Stitch, Antigravity
🧪 AI-Assisted Code Review & QA

Set up AI-powered code review pipelines that catch bugs, suggest improvements, and auto-generate test cases — reducing review cycles by up to 60%

Tools: Claude Code, Cursor, GitHub Actions
📊 Technical Documentation

Auto-generate and maintain API docs, architecture decision records, and onboarding materials that stay in sync with your codebase

Tools: NotebookLM, ChatGPT
⚡ CI/CD & DevOps Automation

Build intelligent deployment pipelines that auto-triage failures, generate rollback plans, and surface performance regressions before they hit production

Tools: n8n, NodeRED, GitHub Actions
👥 Sprint Planning & Estimation

Use AI to break down epics into actionable tickets, estimate complexity, and generate sprint reports — cutting planning overhead by half

Tools: ChatGPT, Linear
🔁 Incident Response & Support

Deploy an AI-powered runbook system that auto-diagnoses common issues, suggests fixes, and escalates only what requires human judgement

Tools: NodeRED, ChatGPT
🏗️ Full-Stack AI Coding

Live demo of building a production-ready feature end-to-end using AI coding assistants — from spec to shipped, in a single session

Tools: Claude Code, Antigravity, Lovable.dev
The Transformation

Your team's workflow, before and after

Before the Workshop

Spend hours writing boilerplate code and repetitive CRUD logic

📧

Manually triage bugs, write incident reports, and update status pages

📊

Copy-paste between Jira, Slack, and docs to keep stakeholders aligned

🤯

Lose senior dev time to code reviews, onboarding docs, and sprint admin

After the Workshop

AI generates scaffolding, tests, and boilerplate — devs focus on architecture

Automated runbooks triage 80% of incidents before they escalate

Sprint summaries and stakeholder updates auto-generated from tickets

Your team ships features, not status updates

Tools We Will Master

The practical tools you'll learn to use — organized by what they help you do.

🧠 AI-Assisted Development Claude Code, Antigravity, Cursor
🏗️ Rapid Prototyping & UI Generation Lovable.dev, Stitch, v0
🔍 Research & Technical Documentation Google AI Studio, NotebookLM
⚡ CI/CD & Pipeline Automation NodeRED, n8n
📋 Specs, PRDs & Code Review ChatGPT, Grok, Groq
🔄 DevOps & Project Automation GitHub Actions, Linear
Who This Is For

This workshop is for your team if…

Your engineering team is experimenting with AI tools but lacks a systematic approach

You want to reduce cycle time from spec to shipped feature by 30–50%

Your devs spend more time on boilerplate, docs, and admin than building core product

You've tried Copilot or ChatGPT for code snippets but haven't integrated AI into your pipeline

You want repeatable AI workflows — not one-off prompt tricks

Your product or engineering lead wants the team to level up on AI-assisted development together

The Morning At a Glance

How the morning unfolds

A structured, fast-paced session. No filler. Every minute is designed for hands-on results.

9:30 – 10:00
Welcome & State of AI in Product Engineering
💡
10:00 – 10:45
AI-Assisted Development — From PRD to prototype with AI coding tools
🧪
10:45 – 11:15
Code Quality — AI-powered reviews, testing & documentation
11:15 – 11:45
DevOps & Automation — Intelligent CI/CD, incident response & sprint ops
🧰
11:45 – 12:00
Your AI Dev Stack — The right tool for each stage of your SDLC
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Your Instructor

Kent Nguyen

Fractional CTO & AI Systems Architect

Kent is a seasoned tech leader with 25+ years shipping products across startups and enterprises. As a Fractional CTO, he helps product and engineering teams integrate AI into their development workflows — from prototyping and code review to deployment pipelines and QA automation.

This workshop distills real-world patterns from teams Kent has led across multiple countries. It's not a demo of ChatGPT — it's a systematic approach to embedding AI into your team's daily engineering and product operations.

Having built and scaled engineering teams at companies later acquired by Grab, Kent understands exactly where AI creates leverage and where it creates noise.

25+
Years in Engineering Leadership
50+
Teams Trained on AI Workflows
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