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Choosing the right game making software can dramatically change how fast and how far you get with game development. Today, AI-powered tools promise to build entire games from simple prompts, but how well do they actually perform?
In this guide, we compare four popular AI-based game making tools by building the exact same 3D racing game in each one and analyzing the results.
👉 Watch the full comparison video below to see each game in action.
What Makes Good Game Making Software?
Before diving into the comparison, here’s what actually matters when choosing game making software in 2025:
- Speed from idea to playable game
- Ability to iterate and refine gameplay
- Physics and controls that actually work
- Visual quality of environments
- Transparency and control over code
- Ease of fixing bugs and errors
We tested each tool using the same prompt, limited prompt counts, and identical goals.
The Game We Built: A 3D Racing Game
Each AI was asked to create:
- A 3D car racing game
- A drivable track with laps or checkpoints
- Functional steering and acceleration
- A playable experience without manual coding
We limited ourselves to roughly five prompts per tool to simulate real-world usage.
Game Making Software Compared
Rosebud AI Agent (Best Overall)
Rosebud’s AI agent delivered the most complete and playable racing game in the shortest amount of time.
What worked well:
- Immediate playable track
- Clear checkpoints and lap progression
- Adjustable driving speed and controls
- Dynamic obstacles and environment
- Fast iteration with minimal debugging
A standout feature is that Rosebud shows exactly which code files it edits and explains every change, making it beginner-friendly and powerful.
✅ Best for: Beginners, rapid prototyping, full AI-driven game creation
🏆 Overall winner
Grok (Surprisingly Strong First Prompt)
Grok produced an impressive result from a single prompt, including:
- Dynamic camera options
- Drivable vehicle
- Functional braking and movement
However, the biggest downside was iteration. Once the initial game was generated, Grok struggled to apply follow-up edits or improvements reliably.
✅ Best for: One-shot experiments
⚠️ Limitations: Poor iterative control
Claude Sonnet 4.5 (Decent, but Slower)
Claude eventually produced a working 3D racing environment, but it required multiple prompts just to fix basic issues.
Challenges included:
- Steering inconsistencies
- Speed limitations
- Needing very specific instructions to improve gameplay
While usable, it took more effort to reach a playable result compared to Rosebud.
✅ Best for: Developers comfortable debugging prompts
⚠️ Limitations: Slow iteration, control issues
Gemini 2.5 Pro (Visually Nice, Functionally Weak)
Gemini generated a visually appealing racing environment, but gameplay mechanics struggled throughout testing.
Issues included:
- Broken steering controls
- Reversed movement inputs
- Glitchy camera behavior
- Difficulty following corrective prompts
While the environment looked good, the game itself wasn’t reliably playable.
❌ Not ideal for: Interactive game development
⚠️ Biggest issue: Physics and controls
Final Ranking: Best Game Making Software (AI Edition)
Based on real gameplay results:
- Rosebud AI Agent 🥇
- Grok 🥈
- Claude Sonnet 🥉
- Gemini Pro
Rosebud stood out by allowing fast iteration, playable mechanics, and clear feedback—all without traditional coding.
Why Rosebud Is the Best Game Making Software for Beginners
Unlike generic AI coding tools, Rosebud is built specifically for game development. You get:
- 2D and 3D game templates
- Asset management built-in
- AI-powered bug fixing
- Playable builds in minutes
- One-click sharing and publishing
Most importantly, you spend your time designing the game, not fighting broken controls. And with the model switching control, you always have access to the newest, most powerful coding models for game development.
Try the Best Game Making Software Yourself
If you’re looking for game making software that actually lets you build and refine real games, Rosebud AI is the fastest way to get started.
👉 Try it yourself on Rosebud AI
Build your first playable game today without engine setup or coding required. Learn more from our tutorial article.
Andi Bucescu
Andi is a marketer at Rosebud, where she writes about the intersection of AI, creativity, and brand storytelling. She explores how generative AI is reshaping marketing strategies and creative workflows, with a focus on making complex technology accessible and cutting through the noise of modern campaigns. Her perspective is informed by undergraduate research on effective social media content and consumer psychology.