Over the past few weeks, I've been developing a modular MOBA project in Unreal Engine 5 using Python for level scripting and layout automation. Today, I hit a milestone — not because of a particularly complex piece of code, but because of a breakthrough in workflow clarity and communication with AI tools like ChatGPT.
Let me explain.
Like many game developers, I use placeholder Blueprints in my level to mark spawn points — turrets, minions, players, etc. One such marker, BP_PlayerStartMarker, was being used both as the player spawn reference and as an input for my minion lane logic.
It worked… until it didn’t.
I found myself needing a clean, isolated way to spawn the player — at the right spot — without overlapping with my lane logic or minion AI.
Rather than jumping straight into code, I paused and turned to ChatGPT. But not to ask for a script (yet). Instead:
I described:
The purpose of each Blueprint I was using
My overall architecture (modular, placeholder-driven level building)
What I wanted long-term (Python-powered automation)
And most importantly: what each actor was responsible for in the level
This context became the foundation for collaborating with ChatGPT as a development partner, not just a code generator.
Once that context was in place, we created:
✅ A Python script to:
Locate my original marker (BP_PlayerStartMarker)
Spawn a new, correctly designed Blueprint (BP_NewPlayerStartMarker) at that exact location
Cleanly separate design-time markers from runtime logic
✅ A second Python script to:
Automatically set the BP_TopDownCharacter Blueprint to auto-possess Player 0
Guarantee proper player control every time the character is spawned
No manual clicking. No inconsistent logic. No code chaos.
ChatGPT didn’t just “know” what I needed. It responded intelligently because I gave it the full picture.
💡 When you're working with any AI assistant — context is the real code.
Don’t just say “I need a script.”
Explain why, what’s already in place, and what each part does.
Be clear about the problem, not just the outcome.
This mirrors real software development. A junior engineer might write you a script. A senior engineer will ask you about architecture, long-term intent, dependencies — then write a better one.
Today’s success wasn’t just about code — it was about communicating design intention. And with the right context, AI can become more than a helper. It can become a collaborator.
If you’re using AI tools in your dev workflow — especially in Unreal, Unity, or procedural game design — I encourage you to:
Provide full context before asking for code
Think like a lead dev talking to your tools
Iterate and refine with the model, not just through it
This mindset changed the way I build games. It might change yours too.
👉 Are you using AI in your game dev workflow? What context do you give it? I’d love to hear how others are approaching this in production-level pipelines.
#GameDev #UnrealEngine #Python #AI #PromptEngineering #LevelDesign #Automation #ChatGPT