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Wishlist

  • clipboard token count
  • anonymization of inquirys to aid privacy concerns
  • further token window opimizations
  • improved clipboard management/context store
  • take more inspiration from latest cursor blogpost, codeium got some good stuff too

Context strategy?

  1. Abstract Syntax Tree (AST) Analysis:

    • Extracting ASTs can give an AI context about the structure of the code, which can be used to infer types, dependencies, variable scopes, and other important details.
    • You could implement a feature that allows users to upload an AST along with their code snippet. A tool like TypeScript's compiler API can generate ASTs for TypeScript code.

  2. Language Server Index Format (LSIF):

    • LSIF provides rich code intelligence, including hover information, definitions, and references.
    • Incorporating LSIF data can help the AI understand the relations and connections between various parts of the code, giving it a more profound understanding of the snippet's context.

  3. Inline Dependency Resolution:

    • Users can be encouraged to provide additional context for their code snippets manually. This can include relevant interfaces, classes, or helper functions that are used within the code snippet.
    • A tool or script could be developed to extract and include this context automatically based on the call stack or symbol usage.

  4. Code Comment Metadata:

    • Introducing a convention for comments that users can include in their code snippets can provide hints to the AI. For example, a comment that indicates the purpose of a function or what a variable represents.

  5. Symbol Resolution through a Language Server Protocol (LSP):

    • Utilize LSP to resolve symbols and provide definitions, type information, and references that can help the AI understand the code's functionality beyond the snippet.