How to Make a Game with AI: A Realistic Guide

Step 1: Choose Your Engine and Genre

Your first decision is which game engine or framework to use. AI tools work with all of them, but some combinations are more productive than others. For browser-based games, Phaser, Three.js, and Babylon.js have large codebases in AI training data, which means code suggestions will be more accurate and relevant. For desktop and mobile games, Unity and Godot both have strong AI tool support.

Pick a genre that is simple enough to finish but complex enough to exercise your AI workflow. A 2D platformer, a top-down shooter, a puzzle game, or a simple RPG are all good choices. Avoid starting with an open-world game, a multiplayer battle royale, or anything that requires years of development from a full team. The goal is to learn the AI-assisted workflow, and you learn it by shipping a complete project, not by starting an ambitious one you never finish.

Consider your own experience level. If you have never written game code before, start with a 2D framework like Phaser or a visual scripting tool in Godot, paired with an AI coding assistant. The AI can explain concepts as you go and generate code that you can study to learn engine patterns. If you are an experienced developer, pick a framework you already know and focus on learning where AI accelerates your existing workflow. The engine should not be new to you and the AI should not be new to you at the same time if you can avoid it.

Step 2: Set Up Your AI Coding Environment

Install an AI coding assistant before you write any game code. The three major options are GitHub Copilot, which runs inside VS Code as an extension and provides inline suggestions as you type. Cursor, which is a standalone editor built around AI with strong project-wide context awareness. And Claude Code, which runs in your terminal and handles complex, multi-file tasks autonomously.

Many developers use more than one. A common combination is Cursor or Copilot for day-to-day editing with inline suggestions, and Claude Code for larger tasks like implementing a full system, refactoring across multiple files, or debugging complex issues. Pick at least one to start, and add others as you understand what each does well.

Configure your project structure to help the AI help you. Keep your code organized in clear directories, use descriptive file and function names, and add brief comments at the top of complex files explaining their purpose. AI tools use your project structure and naming conventions as context, so clear organization directly translates to better suggestions. Create a brief project description file that outlines your game's systems, your coding conventions, and any engine-specific patterns you follow. Most AI tools will use this as context automatically.

Step 3: Build the Core Gameplay Loop

Start with the simplest possible version of your core mechanic. If you are making a platformer, get a rectangle moving and jumping with collision against a flat surface before you add enemies, power-ups, or level design. AI excels at generating this kind of foundational code because the patterns are well-established.

Use your AI coding tool to generate the initial player controller. Describe what you need clearly: "Create a player character controller for a 2D platformer using Phaser 3 with gravity, left/right movement, and jumping. Include ground collision detection and prevent double jumps." A well-formed prompt like this produces usable code on the first attempt in most cases.

Once you have basic movement, build outward: add a camera that follows the player, implement a simple level with platforms, add enemies with basic patrol behavior, create a scoring system, and build a game-over condition. Each of these is a well-defined, self-contained task that AI handles efficiently. Request one feature at a time, review the code, test it, and commit it before moving to the next. This incremental approach keeps the codebase manageable and ensures you understand every piece.

The critical habit is reading and understanding everything the AI generates. If a function uses a pattern you do not recognize, ask the AI to explain it. If the architecture does not match how you think about the problem, refactor it to match your mental model. A codebase you understand is infinitely more valuable than a codebase that works but feels like a black box.

Step 4: Generate and Integrate Art Assets

With your gameplay working using placeholder rectangles and circles, it is time to add visual assets. This is where AI art generators save the most time for solo developers who are not artists.

Start with your player character. Use Stable Diffusion, Leonardo, or Midjourney to generate character designs in the style you want. Be specific in your prompts: include the art style (pixel art, hand-painted, flat vector), the viewing angle (side view for platformers, top-down for shooters), the size context (16x16 pixels, 64x64 pixels), and the character's visual identity. Generate several options and pick the one that best fits your vision.

For sprite sheets with multiple animation frames, you have two options. You can generate individual frames and compile them manually, which gives you more control but takes time. Or you can use specialized tools like Scenario or PixelLab that generate sprite sheets directly, though consistency between frames may require iteration. Either way, expect to spend time cleaning up the output, removing backgrounds, adjusting proportions, and ensuring smooth animation transitions.

Backgrounds, tiles, and UI elements are generally easier to generate because they do not need animation consistency. Generate tileable textures for floors and walls, background layers for parallax scrolling, and UI elements like health bars, buttons, and menus. Keep all generation settings documented so you can produce more assets in the same style later.

Step 5: Add Audio with AI Tools

Audio is often the last thing indie developers add, and it is frequently the most impactful. A game with good audio feels dramatically more polished than the same game in silence, and AI audio tools make it fast to add a complete sound design.

Start with background music. Use Suno or Udio to generate tracks that match your game's mood and genre. Describe what you need in terms of genre, tempo, energy level, and instrumentation. Generate several options for each scene or level, and pick the ones that feel right during gameplay, not just when listened to in isolation. Music that sounds great on its own can feel wrong in context if the energy does not match the gameplay.

Next, add sound effects for key player actions: jumping, landing, attacking, collecting items, taking damage, and dying. ElevenLabs SFX and free tools like SFXR work well for this. Trigger each sound in your game code at the appropriate moment and adjust volumes so nothing overpowers the music. Sound effects should feel responsive and immediate, reinforcing the player's actions without drawing attention to themselves.

If your game has dialogue or narration, AI voice synthesis from ElevenLabs or PlayHT can provide it. This is optional for most genres but essential for narrative-driven games. Test the voice output in context, played through your game's audio system, at the right volume, with ambient sounds playing underneath. What sounds natural in a preview can sound artificial in the full mix.

Step 6: Test, Polish, and Ship

Use your AI coding assistant to help with testing. Ask it to review your code for common bugs, edge cases, and performance issues. For web games, ask specifically about memory leaks, event listener cleanup, and frame rate consistency. For mobile games, ask about touch input handling and screen resolution adaptation.

Playtest the game yourself, then have others play it. Watch them play without offering guidance. Note where they get confused, frustrated, or bored. These observations are your polish list. Use AI to help implement fixes quickly: adjusting difficulty curves, adding visual feedback for player actions, improving collision boundaries, and fixing the small frustrations that separate a playable prototype from a game people enjoy.

When you are satisfied with the game, prepare your build for distribution. For web games, optimize asset sizes, implement loading screens, and test across browsers. For desktop builds, package with Electron or your engine's export tools. For mobile, handle platform-specific requirements like screen orientation, permissions, and store listing metadata. AI can help generate store descriptions, feature lists, and promotional text, but review everything for accuracy before publishing.

Ship it. Your first AI-assisted game will not be perfect, but it will teach you more about the workflow than any amount of reading. The second game will be significantly better because you will know exactly where AI helps and where you need to rely on your own skills.