ABCoder: AI-Based Coder(AKA: A Brand-new Coder)

Overview

ABCoder, an AI-oriented Code-processing Framework, is designed to enhance and extend the coding context for Large-Language-Model (LLM), finally boosting the development of AI-assisted-programming applications.

Features

• Universal Abstract-Syntax-Tree (UniAST), a language-independent, AI-friendly specification of code information, providing a boundless, flexible and structural coding context for both AI and humans.

• General Parser, parses arbitrary-language codes to UniAST.

• General Writer transforms UniAST back to code.

• Code-Retrieval-Augmented-Generation (Code-RAG), provides a set of MCP tools to help the LLM understand code repositories precisely and locally. And it can support both in-workspace and out-of-workspace third-party libraries simultaneously -- I guess you are thinking about DeepWiki and context7, but ABCoder is more reliable and confidential -- no need to wait for their services to be done, and no worry about your codes will be uploaded!

Based on these features, developers can easily implement or enhance their AI-assisted programming applications, such as reviewing, optimizing, translating, etc.

Universal Abstract-Syntax-Tree Specification

see UniAST Specification

Quick Start

Use ABCoder as a MCP server

1. Install ABCoder:

   go install github.com/cloudwego/abcoder@latest

2. Use ABCoder to parse a repository to UniAST (JSON)

   abcoder parse {language} {repo-path} > xxx.json

   For example:

   git clone https://github.com/cloudwego/localsession.git localsession
   abcoder parse go localsession -o /abcoder-asts/localsession.json

3. Integrate ABCoder's MCP tools into your AI agent.

   {
       "mcpServers": {
           "abcoder": {
               "command": "abcoder",
               "args": [
                   "mcp",
                   "{the-AST-directory}"
               ]
           }
       }
   }

4. Enjoy it!

   Try to click and watch the video below:

   

Tips:

• You can add more repo ASTs into the AST directory without restarting abcoder MCP server.

• Try to use the recommaned prompt and combine planning/memory tools like sequential-thinking in your AI agent.

Use ABCoder as an Agent (WIP)

You can also use ABCoder as a command-line Agent like:

export API_TYPE='{openai|ollama|ark|claude}' 
export API_KEY='{your-api-key}' 
export MODEL_NAME='{model-endpoint}' 
abcoder agent {the-AST-directory}

For example:

$ API_TYPE='ark' API_KEY='xxx' MODEL_NAME='zzz' abcoder agent ./testdata/asts

Hello! I'm ABCoder, your coding assistant. What can I do for you today?

$ What does the repo 'localsession' do?

The `localsession` repository appears to be a Go module (`github.com/cloudwego/localsession`) that provides functionality related to managing local sessions. Here's a breakdown of its structure and purpose:
...
If you'd like to explore specific functionalities or code details, let me know, and I can dive deeper into the relevant files or nodes. For example:
- What does `session.go` or `manager.go` implement?
- How is the backup functionality used?

$ exit

• NOTICE: This feature is Work-In-Progress. It only supports code analysis at present.

Supported Languages

ABCoder currently supports the following languages:

Language	Parser	Writer
Go	✅	✅
Rust	✅	Coming Soon
C	✅	❌
Python	Coming Soon	Coming Soon

Getting Involved

We encourage developers to contribute and make this tool more powerful. If you are interested in contributing to ABCoder project, kindly check out our guide:

• Parser Extension

Note: This is a dynamic README and is subject to changes as the project evolves.

Contact Us

• How to become a member: COMMUNITY MEMBERSHIP
• Issues: Issues
• Lark: Scan the QR code below with Register Feishu to join our CloudWeGo/abcoder user group.

   

License

This project is licensed under the Apache-2.0 License.