AI Generated Videos for your Code diffs screenshot

What is AI Generated Videos for your Code diffs?

Steerable turns code diffs and AI reasoning traces into narrated videos automatically. You paste a code change or an AI model's step-by-step reasoning (from Claude, OpenAI o1, DeepSeek R1, Gemini, or similar tools), and the tool generates a structured video that explains what happened in under 30 seconds. This is useful for code reviews, documentation, learning, and sharing technical decisions without writing lengthy explanations. The video includes visual representation of the changes alongside an AI-generated narration that walks through the logic.

Key Features

AI reasoning trace to video conversion

transforms step-by-step thinking from large language models into visual narratives

Multi-model support

works with Claude, OpenAI o1, DeepSeek R1, Gemini, and other reasoning-capable AI models

Quick generation

produces videos in under 30 seconds from input to output

Automatic narration

generates spoken explanation alongside visual representation of code or reasoning

Structured output

organises reasoning steps into a coherent video format rather than plain text

Pros & Cons

Advantages

  • Faster than manual explanation: generates narrated videos in seconds rather than writing documentation
  • Works with multiple AI models: not locked to a single provider
  • Useful for code review communication: makes complex reasoning visible and shareable
  • Free tier available: you can try it without payment commitment

Limitations

  • Limited to code diffs and AI reasoning traces: not suitable for general video creation
  • Video quality and narration quality depend on input clarity: poor diff descriptions produce poor videos
  • Requires structured input: works best with well-formatted code changes or complete reasoning traces

Use Cases

Explaining code review decisions to teammates through video rather than text comments

Documenting architectural changes or refactoring decisions

Creating quick tutorials on how an AI model solved a specific coding problem

Sharing complex algorithm implementations with visual step-through explanations

Onboarding developers by showing how previous technical decisions were made