Comprehensive Bug Fixing with Artemis Changesets

Videos: See Artemis in Action

• How to fix all bugs using Artemis See how Artemis can fix all the bugs in your project
• How to fix a specific bug using Artemis See how Artemis can fix a specific bug or issue in any project

Project Overview

Project Name: andela/buggy-python

Language: Python

Description: This guide demonstrates how to use Artemis Changesets to systematically identify and repair code defects across an entire project. The buggy-python repository contains deliberately flawed Python code perfect for showcasing Artemis's automated debugging capabilities.

Repository: https://github.com/andela/buggy-python

Important: To create pull requests, you'll need to fork the andela/buggy-python repository to your own GitHub account first. For your own repositories, you can work directly without forking.

Workflow

Creating the Changeset

Navigate to the Changesets section and create a new changeset for comprehensive bug detection.

Configure the task with a comprehensive prompt:

Please fix all the bugs in this project.
Ensure the corrected code maintains the original intended functionality while running cleanly without errors.

Bug Detection Results

After analysis, the changeset presents comprehensive solutions with detailed categorization of all identified issues.

Common Fix Categories:

• Syntax Problems: Incorrect operators, missing brackets, indentation issues
• Variable Issues: Naming inconsistencies, undefined references, scope problems
• Logic Flaws: Faulty conditionals, incorrect loops, function definition errors
• Import Problems: Missing declarations, circular imports, unused imports

Example Fix:

# Before (Broken)
if my_var = 5:  # Syntax error: assignment in condition
    print("Value is 5")

# After (Fixed)
if my_var == 5:  # Corrected to comparison operator
    print("Value is 5")

Validation with Runners

Validate your fixes using Artemis's built-in validation system:

Configure appropriate validation commands for Python:

python -m py_compile *.py  # Syntax validation
python -m pytest tests/    # Run unit tests
python main.py            # Execute main script

Publishing and Pull Request

Create a pull request to integrate fixes into your workflow:

Artemis automatically generates:

• Descriptive branch names that clearly communicate fixes
• Comprehensive commit messages explaining what was resolved
• Detailed PR summaries with before-and-after code comparisons

Conclusion

Artemis Changesets revolutionize the debugging workflow by transforming hours of manual debugging into an intelligent, automated process. Whether you're maintaining large codebases, working with legacy code, or teaching coding best practices, Artemis makes code quality effortless and educational, turning broken code into production-ready fixes in minutes.