Last month, I set myself an absurd challenge: build as many playable games as possible in a single 24-hour period, using AI as my primary development tool.
I ended up with 27 fully functional, deployed games. Some were simple. Some were surprisingly polished. And the entire experience fundamentally changed how I think about software development.
Here's the full story — the wins, the failures, the weird stuff, and the lessons that apply to any developer using AI in 2026.
The Rules
Before I started, I set some ground rules:
- Each game must be playable — not a prototype, not a concept.
- Each game must be deployed — live on the internet, accessible via URL.
- AI does the heavy lifting — I can guide, edit, and debug, but the AI writes the majority of the code.
- No pre-built game engines — just HTML5 Canvas, vanilla JavaScript, and CSS.
- Timer starts at midnight — 24 hours, no breaks longer than 15 minutes.
I chose HTML5/JavaScript because deployment is instant, and the canvas API is powerful enough for 2D games without framework overhead.
My AI stack: Claude for code generation, with occasional switches to GPT-4 for creative brainstorming.
Hour 1–3: The Honeymoon Phase (Games 1–5)
Game 1: Classic Pong (23 minutes)
The AI produced a working Pong game on the first try. Clean code, smooth animation, proper collision detection. I added some visual polish (gradient paddles, particle effects on hit) and deployed it.
Time: 23 minutes. Confidence: sky high.
Game 2: Snake (18 minutes)
Even faster. The AI nailed the grid-based movement, growing mechanic, and self-collision detection.
Game 3: Breakout (31 minutes)
First real challenge. The initial version had issues with brick collision detection — the ball would sometimes pass through bricks at high speeds. Fixed with a swept-circle approach.
Game 4: Whack-a-Mole (15 minutes)
Simplest game yet. Random moles, click to score, timer countdown. Difficulty scaling added automatically.
Game 5: Memory Card Game (22 minutes)
Card matching with flip animations using CSS transforms. Added themed card sets (emoji animals).
Running total: 5 games in 2 hours. Average: 22 minutes per game.
Hour 3–8: The Reality Check (Games 6–12)
Game 6: Asteroids (47 minutes)
Ship rotation, thrust physics, asteroid splitting, wrap-around screen edges. The AI struggled with the asteroid splitting mechanic.
Lesson 1: Physics-based games require much more precise prompting.
Game 7: Tetris (52 minutes)
The rotation system (SRS) is deceptively complex. Wall kicks, T-spins, the bag randomizer — all required careful prompting.
Game 8: Flappy Bird Clone (19 minutes)
Gravity, jump, pipes, score. Done. The AI suggested adding a slight rotation to the bird based on velocity.
Game 9: Tower Defense (1 hour 15 minutes)
First game over an hour. Pathfinding, enemy waves, tower targeting, projectile systems, and an economy. I broke it into phases.
Game 10: Platformer (58 minutes)
Side-scrolling with procedurally generated levels. Solid physics but generation needed iteration.
Game 11: Rhythm Game (43 minutes)
Guitar Hero-style. Audio synchronization was tricky — timing was off by ~100ms initially.
Game 12: Minesweeper (25 minutes)
Classic Minesweeper. Recursive reveal worked perfectly on the first try.
Running total: 12 games in 8 hours. Average: 37 minutes per game.
Hour 8–16: The Grind (Games 13–21)
Games 13–15: Card Games Trilogy (2 hours total)
- Blackjack (35 min) — AI handled the rules perfectly.
- Solitaire (55 min) — Drag and drop on canvas is painful.
- War (30 min) — Simple but satisfying.
Game 16: Space Invaders (28 minutes)
Classic grid of enemies, shields, player. Added the characteristic enemy speed-up.
Game 17: Maze Generator & Solver (38 minutes)
Recursive backtracking for generation, A* for solving. Textbook-perfect.
Game 18: Word Search (42 minutes)
Generate a grid with hidden words, click and drag to select. Word placement was the complex part.
Game 19: Simon Says (20 minutes)
Color sequence memory game. Short and sweet.
Game 20: Connect Four (33 minutes)
Added an AI opponent using minimax with alpha-beta pruning. Meta.
Game 21: Typing Speed Test (25 minutes)
Random passages, measure WPM and accuracy. Varied difficulty passages.
Running total: 21 games in 16 hours.
Hour 16–22: The Creative Push (Games 22–26)
Game 22: Gravity Painter (45 minutes)
My favorite game. Launch particles with different masses, they orbit each other creating beautiful trails. N-body gravitational simulation with Barnes-Hut optimization. Genuinely beautiful.
Game 23: Dungeon Crawler (1 hour 30 minutes)
Most ambitious game. Procedurally generated rooms, turn-based combat, inventory system, three enemy types. This pushed the AI to its limits.
Game 24: Drawing Guessing Game (38 minutes)
You draw something, a neural network tries to guess. Used TensorFlow.js with a pre-trained Quick Draw model.
Game 25: Infinite Runner (32 minutes)
Auto-running character, procedural obstacles, parallax scrolling. The AI added a night/day cycle.
Game 26: Music Maker (50 minutes)
Grid-based music sequencer with Web Audio API synthesized instruments.
Running total: 26 games in 22 hours.
Hour 22–24: The Final Push (Game 27)
Game 27: Multiplayer Battle Arena (1 hour 45 minutes)
Local multiplayer top-down arena with tanks. Destructible walls, ricocheting bullets, power-ups. Most complex game of the challenge.
Final count: 27 games in 23 hours and 45 minutes.
The Numbers
| Metric | Value |
|---|---|
| Total games | 27 |
| Total time | 23h 45m |
| Average per game | 52 minutes |
| Fastest game | Whack-a-Mole (15 min) |
| Slowest game | Dungeon Crawler (1h 30m) |
| Lines of code (total) | ~14,200 |
| Lines written by AI | ~12,000 (84%) |
| Lines by me | ~2,200 (16%) |
| Total cost (AI API) | ~$23 |
7 Lessons From Building 27 Games in One Day
1. AI Is a Multiplier, Not a Replacement
The AI wrote 84% of the code, but my 16% was the critical 16% — architecture decisions, debugging insights, quality intuition.
The ratio that works: AI handles implementation, you handle vision and quality.
2. Prompting Is a Skill That Compounds
My prompting speed doubled over the challenge. Develop a mental library of prompt patterns.
3. Simple Games Are Underrated
Whack-a-Mole (15 min) got more play time than the Dungeon Crawler (90 min). Complexity ≠ fun.
4. The 80/20 Rule Is Real
Getting to "working" = 60% of time. Getting to "good" = remaining 40%. Budget for polish.
5. AI Struggles With Emergent Behavior
When simple rules create complex interactions, bugs emerge at runtime that AI can't predict. Test early and often.
6. Code Structure Matters More With AI
Specify module structure in prompts: GameState, Renderer, InputHandler, Physics, EntityManager.
7. The Deployment Pipeline Is Your Best Friend
One-command deployment script. 30 seconds from done to live. Automate everything that isn't creative work.
Try It Yourself
- Start with the classics — Pong, Snake, Breakout.
- Set up deployment first — Remove friction.
- Keep a prompt journal — Write down what works.
- Don't perfectionist — Ship it, move on.
- Take breaks — My code quality dropped around hour 14.
The era of building things fast is here. The question isn't whether AI can help you build — it's what you're going to build next.
Follow me for more AI development experiments. Have you tried an AI-assisted coding challenge? Share your experience in the comments!
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- ⚡ I Built a Full Game in One Day Using AI Agents
💬 Your Turn
What's the fastest you've ever shipped a game or project? Did speed help or hurt the final quality? I'm genuinely curious — because cranking out 27 games taught me that quantity has a quality all its own... but also that most of them are mediocre.
What about you?
- What's the most projects you've shipped in a single day or weekend? Did any of them survive?
- Do you think building lots of small games is a better learning path than one big polished game?
- If you had 24 hours and an AI assistant, what would YOU try to build?
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Top comments (1)
27 games in 24h with Claude—insane productivity. Simplicity + precise prompts = win.