Agentic code context engine with pre-compiled AST

Agentic Code Context Engine with Pre-compiled AST

This tool provides an agentic code context engine designed to optimize LLM interactions by pre-compiling Abstract Syntax Trees (ASTs). By transforming code into a structured, LLM-understandable format (.tost), it significantly reduces token consumption, leading to lower costs and faster processing for AI builders working with code.

What it Does

The core functionality is to parse source code and generate an AST. This AST is then pre-compiled into a custom format, .tost , which is optimized for consumption by Large Language Models (LLMs). Instead of feeding raw code or verbose AST representations, developers can leverage this pre-compiled format to provide concise and structured context to their AI agents. This dramatically cuts down on the number of tokens required for each LLM call, making complex code analysis and generation tasks more efficient and cost-effective.

Key Features

• AST Pre-compilation: Converts code into a structured AST and then further optimizes it into the .tost format.
• Token Cost Reduction: Significantly lowers LLM token usage by providing a compact and LLM-friendly representation of code.
• Developer-Focused: Designed specifically for developers to integrate into their AI-powered coding workflows.
• Source Code Integration: Facilitates efficient processing of codebases for AI analysis and manipulation.

Who it's For

This tool is ideal for AI builders , software engineers , and developers who are actively working with LLMs for code-related tasks. This includes those developing AI agents for code generation, refactoring, analysis, debugging, or any application where understanding and processing code context is crucial. If you are looking to reduce the operational costs of your AI coding tools or improve the performance of your LLM-driven code assistants, this agentic code context engine is a valuable addition to your toolkit.