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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A powerful coding assistant application that integrates with the DeepSeek API to process user conversations and generate structured JSON responses. Through an intuitive command-line interface, it can read local file contents, create new files, and apply diff edits to existing files in real time.
| Date | Stars |
|---|---|
| 2026-07-31 | 2230 |
| 2026-08-06 | 2237 |
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# DeepSeek Engineer v2 🐋
## Overview
DeepSeek Engineer v2 is a powerful AI-powered coding assistant that provides an interactive terminal interface for seamless code development. It integrates with DeepSeek's advanced reasoning models to offer intelligent file operations, code analysis, and development assistance through natural conversation and function calling.
## 🚀 Latest Update: Function Calling Architecture
**Version 2.0** introduces a big upgrade from structured JSON output to native function calling, providing:
- **Natural conversations** with the AI without rigid response formats
- **Automatic file operations** through intelligent function calls
- **Real-time reasoning visibility** with Chain of Thought (CoT) capabilities
- **Enhanced reliability** and better error handling
## Key Features
### 🧠 **AI Capabilities**
- **Elite Software Engineering**: Decades of experience across all programming domains
- **Chain of Thought Reasoning**: Visible thought process before providing solutions
- **Code Analysis & Discussion**: Expert-level insights and optimization suggestions
- **Intelligent Problem Solving**: Automatic file reading and context understanding
### 🛠️ **Function Calling Tools**
The AI can automatically execute these operations when needed:
#### `read_file(file_path: str)`
- Read single file content with automatic path normalization
- Built-in error handling for missing or inaccessible files
- **Automatic**: AI can read any file you mention or reference in conversation
#### `read_multiple_files(file_paths: List[str])`
- Batch read multiple files efficiently
- Formatted output with clear file separators
#### `create_file(file_path: str, content: str)`
- Create new files or overwrite existing ones
- Automatic directory creation and safety checks
#### `create_multiple_files(files: List[Dict])`
- Create multiple files in a single operation
- Perfect for scaffolding projects or creating related files
#### `edit_file(file_path: str, original_snippet: str, new_snippet: str)`
- Precise snippet-based file editing
- Safe replacement with exact matching
### 📁 **File Operations**
#### **Automatic File Reading (Recommended)**
The AI can automatically read files you mention:
```
You> Can you review the main.py file and suggest improvements?
→ AI automatically calls read_file("main.py")
You> Look at src/utils.py and tests/test_utils.py
→ AI automatically calls read_multiple_files(["src/utils.py", "tests/test_utils.py"])
```
#### **Manual Context Addition (Optional)**
For when you want to preload files into conversation context:
- **`/add path/to/file`** - Include single file in conversation context
- **`/add path/to/folder`** - Include entire directory (with smart filtering)
**Note**: The `/add` command is mainly useful when you want to provide extra context upfront. The AI can read files automatically via function calls whenever needed during the conversation.
### 🎨 **Rich Terminal Interface**
- **Color-coded feedback** (green for success, red for errors, yellow for warnings)
- **Real-time streaming** with visible reasoning process
- **Structured tables** for diff previews
- **Progress indicators** for long operations
### 🛡️ **Security & Safety**
- **Path normalization** and validation
- **Directory traversal protection**
- **File size limits** (5MB per file)
- **Binary file detection** and exclusion
## Getting Started
### Prerequisites
1. **DeepSeek API Key**: Get your API key from [DeepSeek Platform](https://platform.deepseek.com)
2. **Python 3.11+**: Required for optimal performance
### Installation
1. **Clone the repository**:
```bash
git clone <repository-url>
cd deepseek-engineer
```
2. **Set up environment**:
```bash
# Create .env file
echo "DEEPSEEK_API_KEY=your_api_key_here" > .env
```
3. **Install dependencies** (choose one method):
#### Using uv (recommended - faster)
```bash
uv venv
uv run deepseek-eng.py
```
#### Using pip
```bash
pip Excerpt of 9,007 characters
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Pietro Schirano · MagicPath
26
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e4e648a44c84ec40, desc:coding assistant