Give the tool a bounded job
Describe one problem at a time. For example, ask for three ways to make a one-button dodge loop easier to read, or request a small pseudocode sketch for tracking a score streak. Include the current rule, what must stay unchanged, and the form of answer you need. “Improve the game” invites broad rewrites that can change controls, difficulty and scope at once.
Review before integration
Read suggested code for assumptions about state, timing, input and edge cases before adding it. Check that a reset clears temporary effects, that a paused or finished game stops accepting gameplay input, and that score changes happen once per event. Use a small, reversible change and play the exact path it affects. Generated code can look plausible while using an outdated API or creating a bug at the boundary between systems.
Keep a human test loop
Write down the behavior you expect, implement or adapt one change, then compare the result in a running build. Ask a tester to describe what they think will happen before acting; confusion can expose unclear feedback even when the code runs. Track whether the change improves the intended experience and whether it creates a new problem. MDN’s game development guide is a useful map of web game technologies and workflows, not a substitute for checking the APIs your project actually uses.
Questions about AI game development
Can AI build a complete game without review?
Treat AI output as a draft that needs design and technical review. You remain responsible for whether the game is playable, understandable and correct.
What should I ask an AI assistant first?
Give it one bounded task with the current rule, the desired change and constraints. Ask for alternatives or a small implementation, then test the result before expanding the request.