smol developer

Features

• Human-Centric Program Synthesis: smol-ai focuses on whole program synthesis, facilitating developers to write prompts that guide AI in generating comprehensive codebases.
  
• Versatile Integration: Whether in Git Repo mode, Library mode, or API mode, smol-ai adapts to your project needs, offering flexibility in how it can be utilized.
  
• Innovative Prompting System: By leveraging Markdown for prompts, smol-ai combines human readability with explicit coding directives, enabling precise control over code generation.
  
• Interactive Development: smol-ai allows developers to dynamically work alongside the AI, iterating over prompts and code to refine app functionality gradually.
  
• Extensive Language Support: With a vast majority of code in Python, and additional support for JavaScript, CSS, HTML, and Makefile, smol-ai provides coverage for key web technologies.
  

Use Cases:

• App Scaffolding: Quickly scaffold entire applications, from Chrome extensions to full-stack web apps, with simple, descriptive prompts.
  
• Error Handling: Paste error messages back into prompts and let smol-ai handle troubleshooting and fixes, streamlining the debugging process.
  
• Codebase Prototyping: Prototype new applications or features rapidly, testing ideas and integrating AI-generated code seamlessly into your projects.
  
• Educational Tool: Use smol-ai as a learning aid, exploring new APIs and technologies through interactive AI-driven coding and examples.
  
• Deployment Customization: Experiment with various deployment strategies and tailor AI-generated code to a wide array of stacks and environments.
  

smol-ai redefines programming efficiency by intelligently bridging the gap between developers' intents and executable code. Its versatile application across different programming environments and its capacity to engage with developers in a human-centric workflow underscore its revolutionary potential in software development.