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A set of specific tasks tak can be solved by AI tools or by hand. Can be used for evaluation purposes or training.

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lttr/ai-experiments

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AI Experiments

This repository contains a collection of experiments showcasing how to use AI tools to make software development more efficient. Each experiment demonstrates a practical application of AI in solving common development challenges.

Structure

Each experiment follows a consistent structure:

  • start/: Contains the initial data or files before doing the work
  • end/: Contains the solution or final state of the files
  • README.md: Describes the experiment, steps taken, and insights gained

Experiments

  1. Translation - Demonstrates how to use AI for translating content in a specific format
  2. Autocomplete - Experiments with autocomplete
  3. Sequence Diagram - Create a diagram for better understanding
  4. Testing data - Generate testing data in an app
  5. Api docs - Generate API docs for all endpoints
  6. Component styles - Generate styles for a component based on its design
  7. Nuxt component - Generate an idiomatic Nuxt component

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A set of specific tasks tak can be solved by AI tools or by hand. Can be used for evaluation purposes or training.

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