Why You Should Start a New AI Chat Constantly When Building Games With AI
When I started using AI for game dev, I believed one thing:
Longer chats are better.
More context equals better answers, right?
Turns out it is usually the opposite. And once I figured this out, my whole AI game development workflow got faster, cleaner, and way more reliable.
Here is the shift nobody talks about when working with AI coding agents.
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More Context Is Not Better Context
This was the big surprise.
I used to keep one giant chat going for an entire feature. I figured the more the AI knew about my project, the smarter it would get.
Wrong.
Long chats get clogged with junk:
Old assumptions
Abandoned ideas
Previous mistakes
Info that is no longer relevant
And here is the problem. The AI starts building new answers on top of old mistakes. The whole conversation slowly drifts away from reality, and you do not even notice it happening.
You correct it once. You correct it twice. The replies keep getting worse. That is the drift. The context window is now full of noise, and the AI is doing its best to make sense of a mess you built together over the last hour.
Long Chats Burn Tokens and Give You Less
There is a hidden cost too.
Every message in a long AI chat gets re-read by the model on every single reply. So instead of focusing on the one problem in front of it, the AI is digging through hundreds of old messages first.
You pay for that. Literally, in tokens. And in worse output.
More history in the chat means more tokens burned and less useful answers. You are paying more to get less. That is a bad trade in any tool, but it is brutal when you are trying to ship a game.
The Move That Changed How I Build Games
Here is the biggest change in how I work now.
I break my mechanics and tasks into the smallest pieces possible. Small enough that the AI can knock them out with no problem.
Then after each finished task, I start a brand new chat.
That is it. That is the whole trick.
This does two things:
The AI is way more successful, because it is only ever focused on one tightly scoped problem.
It is much faster, because it is not wading through a mountain of history to get there.
A big messy feature becomes a series of small clean wins. Fresh chat, AI nails it, move on. Fresh chat, AI nails it, move on.
If you have ever tried to vibe code a full system in one endless conversation and watched it fall apart, this is your fix.
This Has a Name: Context Engineering
I kept running into a term while reading about how people get the most out of AI coding agents.
Context engineering.
One of the core ideas is simple:
Giving the AI the right context matters more than giving it more context.
That one line reframed everything for me. The skill is not stuffing the chat with everything you know. The skill is feeding the AI exactly what it needs for the task in front of it, and nothing else.
So now I start fresh constantly. When I open a new chat, I give it three things:
Here is the goal.
Here is the relevant code.
Here is the problem.
That is the whole prompt. Clean input, clean output.
My Simple Rule For When To Start A New AI Chat
You do not need to overthink this. Here is the exact rule I follow:
New feature? New chat.
New bug? New chat.
Different system? New chat.
AI stuck after a couple corrections? New chat.
That last one is the most important. The second you feel the replies getting worse instead of better, do not keep fighting it. The context is poisoned. Copy out your goal and your code, open a fresh chat, and start clean. You will solve in two messages what you were stuck on for twenty.
Context Engineering Beats Prompt Engineering
Everyone obsesses over prompt engineering. Writing the perfect magic words.
The more I build games with AI, the more I think that is the smaller half of the skill.
The bigger half is context engineering. Controlling what the AI sees. Keeping the context window clean. Scoping tasks small. Starting fresh on purpose instead of dragging a thousand messages of baggage into every reply.
Prompt engineering is what you say. Context engineering is what you let the AI see. The second one is winning for me.
If you are using AI agents to build a game, this single habit will probably do more for your output than any clever prompt ever will.
Want To Build Games Faster With AI?
This is exactly the kind of stuff we break down inside my game dev community. Real workflows, real tools, real games getting shipped.
Come join us in Tenth Legion Games on Skool. It is where I share the systems I actually use to make and publish games with AI: https://www.skool.com/tenth-legion-games/about
I also post breakdowns and tutorials on my YouTube channel, so subscribe there if you want to watch this stuff in action: https://www.youtube.com/@louisdesimone9191
So here is my question for you. Have you noticed this too? Or are you still keeping everything in one giant chat and wondering why the AI keeps getting dumber?
Try the fresh chat habit on your next feature. Then come tell me how it went inside Tenth Legion Games.
