Create maintainer spotlight part 2#445
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samus-aran merged 4 commits intomainfrom May 5, 2026
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Added a maintainer spotlight for Yimin Zheng detailing the Marsilea project, its purpose, contributions, and impact in the field of computational biology.
Added a maintainer spotlight for Ullrich Hafner, detailing the Jenkins Warnings Plugin, its usage in academia, and the impact on students and contributors.
Added an image for Alive2 and improved the description section.
ashleywolf
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May 2, 2026
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Pull request overview
This PR adds new Academia “Maintainer Spotlight” markdown posts (for Marsilea, JPlag, and Jenkins Warnings Plugin) and updates the existing Alive2 spotlight with an embedded image, expanding the site’s academia spotlight content.
Changes:
- Added a new maintainer spotlight post for Marsilea (Yimin Zheng).
- Added new maintainer spotlight posts for JPlag and Jenkins Warnings Plugin.
- Embedded an image into the Alive2 spotlight post.
Show a summary per file
| File | Description |
|---|---|
| content/academia/marsilea-maintainer-spotlight.md | Adds a new Academia spotlight entry for the Marsilea project. |
| content/academia/jplag-maintainer-spotlight.md | Adds a new Academia spotlight entry for the JPlag project. |
| content/academia/jenkins-warnings-ng-maintainer-spotlight.md | Adds a new Academia spotlight entry for the Jenkins Warnings Plugin project. |
| content/academia/alive2-maintainer-spotlight.md | Adds a logo/image to the existing Alive2 spotlight content. |
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content/academia/jenkins-warnings-ng-maintainer-spotlight.md:17
- Same note as in the frontmatter: “CheckStyle” is typically written as “Checkstyle” (for the Checkstyle linter/format). If this refers to that tool, please fix the casing here as well.
The Jenkins Warnings Plugin is a Jenkins plugin that automatically collects and visualizes warnings and errors from compilers and static analysis tools — supporting over 150 formats such as CheckStyle, SpotBugs, and StyleCop. After each build, teams get a detailed report showing new, fixed, and outstanding issues, filterable by severity, category, package, or module, with annotated source code views and trend charts over time. Quality gates can be defined to fail a build automatically when issue thresholds are exceeded, keeping code quality under continuous control.
- Files reviewed: 4/4 changed files
- Comments generated: 4
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| ## How is the project used in teaching or coursework? | ||
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| I introduced Marsilea not only to my lab members but also across the institute. I presented it in an institutional-wide meeting to explain why and how scientists can use Marsilea in their research. |
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| description: "A Jenkins plugin that automatically collects and visualizes warnings and errors from compilers and static analysis tools, supporting over 150 formats such as CheckStyle, SpotBugs, and StyleCop, with quality gates, trend charts, and Git forensic statistics." | ||
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| ## What is the Jenkins Warnings plugin, and what does it help people do? | ||
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| The Jenkins Warnings Plugin is a Jenkins plugin that automatically collects and visualizes warnings and errors from compilers and static analysis tools — supporting over 150 formats such as CheckStyle, SpotBugs, and StyleCop. After each build, teams get a detailed report showing new, fixed, and outstanding issues, filterable by severity, category, package, or module, with annotated source code views and trend charts over time. Quality gates can be defined to fail a build automatically when issue thresholds are exceeded, keeping code quality under continuous control. |
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| <img width="295" height="242" alt="alive2" src="https://github.com/user-attachments/assets/4225ea27-9c0d-4823-98e0-a6c4794c9c69" /> | ||
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| description: "A tool to automatically verify the correctness of LLVM optimizations, used by several companies and instrumental in finding hundreds of bugs in LLVM." | ||
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| <img width="295" height="242" alt="alive2" src="https://github.com/user-attachments/assets/4225ea27-9c0d-4823-98e0-a6c4794c9c69" /> |
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Added a maintainer spotlight for Yimin Zheng detailing the Marsilea project, its purpose, contributions, and impact in the field of computational biology.