zyedidia/micro
Feb 2025 – Feb 2025
1 Month active
Languages Used
Markdownlua
Technical Skills
ConfigurationDocumentationLintingcode linting configurationplugin development
magneticminou
PROFILE
Magneticminou
During February 2025, Minou And Caramel integrated the Ruff linter into the zyedidia/micro repository, enhancing Python code analysis within the editor’s default configuration. They developed a new linter definition in linter.lua using Lua, ensuring seamless compatibility with existing Python linting rules. Their work included tuning configuration files and updating Markdown-based documentation to highlight Ruff support, making the feature more discoverable for Python developers. The project focused on plugin development, configuration, and documentation, resulting in a streamlined linting workflow. While no bugs were fixed during this period, the work demonstrated depth in code linting configuration and cross-language integration practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
1
Activity Months1
Your Network
18 people
Work History
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025: Completed integration of Ruff linter into zyedidia/micro, enabling Python code analysis with Ruff from the default configuration and adding a Ruff linter definition in linter.lua. Updated the linter plugin documentation to surface Ruff support for Python. No major bug fixes were recorded in this period. The changes improve Python code quality feedback, streamline lint workflows, and demonstrate strong Lua-based plugin customization and documentation practices.
3 Commits • 2 Features
Feb 1, 2025February 2025: Completed integration of Ruff linter into zyedidia/micro, enabling Python code analysis with Ruff from the default configuration and adding a Ruff linter definition in linter.lua. Updated the linter plugin documentation to surface Ruff support for Python. No major bug fixes were recorded in this period. The changes improve Python code quality feedback, streamline lint workflows, and demonstrate strong Lua-based plugin customization and documentation practices.
February 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Markdownlua
Technical Skills
ConfigurationDocumentationLintingcode linting configurationplugin development
Repositories Contributed To
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