Description
🚀 Agentic Engineering: Develop a Workplan Before You Code
Modern engineering is changing. Instead of working as a solo problem solver, engineers are becoming conductors of an orchestra of AI tools. This video introduces the first and most important step in Agentic Engineering: developing a strong workplan.
In this demonstration, I walk through a new Workplan Prompt Builder designed to help you create structured prompts for Plan Mode in agentic AI tools. The goal is simple: improve technical quality, reduce rework, and create a clear path from concept to implementation.
🔧 Try the Workplan Planner:
https://apmonitor.com/pds/index.php/Main/AgenticWorkplan
🏀 Try the Basketball Dribble AI Demo:
https://apopt.com
This project was built using agentic workflows, including:
✔️ App development
✔️ Graphic generation
✔️ AI-assisted planning
✔️ Music creation for the video
What You’ll Learn
Why planning matters more than coding speed
How to structure a project before implementation
Defining objectives, data, scope, and success criteria
Breaking work into tasks, checkpoints, and deliverables
Using Plan Mode effectively with Agentic AI
Multi-agent orchestration and engineering oversight
Agentic Engineering Mindset
AI does not replace engineering judgment. Instead, it accelerates execution when guided by clear direction. A strong workplan helps you manage context, coordinate tools, and maintain control over technical quality.
Lecture Series (Machine Learning for Engineers)
1️⃣ Workplan
2️⃣ Coding
3️⃣ Coordination
4️⃣ Visualization
5️⃣ Communication
The workplan you build today becomes the foundation for everything that follows.
📌 If you’re using AI tools in engineering, share how you approach planning and orchestration in the comments.
#AgenticAI #Engineering #MachineLearning #AIEngineering #ProcessControl #EngineeringEducation #ArtificialIntelligence #Automation #MLforEngineers