Free
$0Free plan available.
Haddock provides generative AI tools for game engines, including Roblox, Unity, and Unreal Engine. The platform allows you to (1) search thousands of scripts created by paid generative AI tools, and (2) utilize various generative AI models to create code from text prompts. It features a library of AI-generated code for Roblox, Minecraft, Unity, and Unreal, with expansion into Blender underway. Haddock's mission is to build the largest free library of AI-generated code while offering accessible, high-quality code generation tools for gamers.
Use Haddock to search for existing AI-generated code or utilize ScripterAI to generate new code from text prompts. Select your preferred platform—such as Roblox, Unity, Unreal, or Minecraft—and access the available tools.
Haddock provides generative AI tools for game engines, enabling you to search through AI-generated code and create new scripts using text prompts.
Haddock currently supports Roblox, Unity, Minecraft (Forge), and Unreal, with plans to expand to Blender.
Yes, the Search Library is free to use indefinitely.
The platform includes free access to GPT-4, Copilot, and a code-engineered version of ChatGPT (plus).
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Haddock.
Compare GPT 5.4 and GPT 5.4 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and GPT 5.4 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Claude 4.6 Opus across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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