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magicoder

ise-uiuc/magicoder

A coding assistant for generating Python code snippets

GraphCanon updated 2w · GitHub synced 2w

2.1k stars171 forksLast push 1y Python MIT

Decision brief

magicoder is a coding assistant tool that harnesses large language models to generate Python code snippets based on natural-language instruction input.

Good fit when

  • Use magicoder if you need high-quality and accurate Python code generation for projects in need of robust APIs, such as the example TODO list application.
  • Utilize magicoder when you require seamless integration with the transformers library from Hugging Face to generate text using large-scale language models.

Avoid when

  • Do not use magicoder if your project requires code generation in languages other than Python, given it specializes in generating Python snippets.
  • Avoid using this tool for situations where fine-grained control over the model parameters is critical; magicoder comes with specific settings that might limit customization options.

Observed Jul 17, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (641d since push)
As of 2w
Provenance
Not a fork · Organization account
As of 2w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install magicoder
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Uses large language models to generate high-quality Python code from natural language instructions

Capability facts

Languages
python

Source: github.language+pyproject.toml · Aug 5, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 5, 2026)

```python from transformers import pipeline
Source link

Tags

README

🚀 Quick Start

from transformers import pipeline
import torch

MAGICODER_PROMPT = """You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions.

@@ Instruction
{instruction}

@@ Response
"""

instruction = "Implement a high-level API for a TODO list application. The API takes as input an operation request and updates the TODO list in place. If the request is invalid, raise an exception."

prompt = MAGICODER_PROMPT.format(instruction=instruction)
generator = pipeline(
    model="ise-uiuc/Magicoder-S-DS-6.7B",
    task="text-generation",
    torch_dtype=torch.bfloat16,
    device_map="auto",
)
result = generator(prompt, max_length=2048, num_return_sequences=1, temperature=0.0)
print(result[0]["generated_text"])

This code snippet will generate the following output:

Here is a simple Python implementation of a TODO list API:

```python
class TodoList:
    def __init__(self):
        self.todo_list = []

    def add_task(self, task):
        if not isinstance(task, str):
            raise ValueError("Task must be a string")
        self.todo_list.append(task)

    def remove_task(self, task):
        if task not in self.todo_list:
            raise ValueError("Task not found in the list")
        self.todo_list.remove(task)

    def get_tasks(self):
        return self.todo_list

    def update_task(self, old_task, new_task):
        if old_task not in self.todo_list:
            raise ValueError("Old task not found in the list")
        if not isinstance(new_task, str):
            raise ValueError("New task must be a string")
        index = self.todo_list.index(old_task)
        self.todo_list[index] = new_task

    def clear_list(self):
        self.todo_list = []
```

This API allows you to add tasks, remove tasks, get all tasks, update tasks, and clear the list. It also raises exceptions for invalid operations.

You can use this API like this:

```python
todo = TodoList()
todo.add_task("Buy groceries")
todo.add_task("Finish project")
print(todo.get_tasks())  # Output: ['Buy groceries', 'Finish project']
todo.update_task("Buy groceries", "Buy fruits")
print(todo.get_tasks())  # Output: ['Buy fruits', 'Finish project']
todo.remove_task("Finish project")
print(todo.get_tasks())  # Output: ['Buy fruits']
todo.clear_list()
print(todo.get_tasks())  # Output: []
```

For agents

This page has a .md twin and JSON over the API.

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