Close
0%
0%

aiCoder

LLM coding using AST(abstract syntax trees) for intelligently merging LLM generated sippets in to existing code files

Similar projects worth following
  • Description
  • Details
  • Files 0
  • Components 0
  • Logs 0
  • Instructions 0
  • Discussion 0
aiCoder uses Abstract Syntax Trees (ASTs) to integrate AI-generated code snippets into existing JavaScript files with precision. User prompts guide the AI in generating suggestions, which are parsed into an AST representation. This allows aiCoder to analyze the structure of a single file and identify accurate insertion points, ensuring new methods, classes, or functions are added without disrupting existing code. The tool also maintains consistency in naming and organization.

ASTs enable aiCoder to automate complex code merging by representing the hierarchical structure of the source code. This approach minimizes errors common in manual merging and ensures deterministic integration of features or refactoring. By abstracting code manipulation complexities, aiCoder allows developers to focus on design while preserving code integrity.

Enjoy this project?

Share

Discussions

Does this project spark your interest?

Become a member to follow this project and never miss any updates