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devi

PROFILE

Devi

Over four months, this developer enhanced the KotatsuApp/kotatsu-parsers repository by building and refining manga data parsers focused on reliability, maintainability, and data accuracy. They launched the PhenixScans parser with full manga retrieval, filters, and sorting, and standardized parsing logic across multiple sources using Kotlin and Java. Their work included refactoring legacy code, updating domain data, and improving parser readability to streamline future updates. By addressing broken sources, fixing chapter fetch logic, and enhancing sorting features, they improved data integrity and user experience. The developer demonstrated strong skills in API integration, backend development, and web scraping throughout these contributions.

Overall Statistics

Feature vs Bugs

60%Features

Repository Contributions

6Total
Bugs
2
Commits
6
Features
3
Lines of code
2,858
Activity Months4

Work History

April 2025

1 Commits • 1 Features

Apr 1, 2025

April 2025 — KotatsuApp/kotatsu-parsers: Delivered the PhenixScans Parser with full manga data retrieval (lists, details, pages) and added filters and sorting. Refactored LegacyScans and KeyoappParser to unify parsing logic and improve maintainability across parsers. Fixed critical issues in PhenixScans and KeyoappParser (close #1599, #1675, #1640) culminating in a more reliable data extraction pipeline. Commit 3771b8d26baf58087d0af20dffa4e925cefc3aa4 captures these changes. Impact: expanded data coverage, improved reliability and consistency, and a solid foundation for future parser enhancements.

December 2024

1 Commits

Dec 1, 2024

December 2024 monthly review for KotatsuApp/kotatsu-parsers: Focused on reliability of manga source parsers and enhancement of HitomiLaParser sorting. Delivered a comprehensive fix across multiple sources and updated domain data, plus a major improvement to user-facing popularity sorting. These changes improve data accuracy, reduce broken source incidents, and enhance the reader experience.

November 2024

1 Commits

Nov 1, 2024

November 2024 monthly summary for KotatsuParsers focused on data reliability and accuracy in the Manhwa chapter fetch pipeline. Implemented a refactor to how the maximum page number is determined to ensure complete retrieval of chapters across ManhwaLatino and other sources, addressing previously incomplete fetches. Also applied a patch to correct total chapter counts for specific manga, ensuring accurate metadata. Key commit: f610ae6412f21789b4b23f86e95c29e326891126. Outcome: improved data integrity, reduced downstream corrections, and better user-facing chapter metadata.

October 2024

3 Commits • 2 Features

Oct 1, 2024

October 2024: Focused on reliability, accuracy, and maintainability of the manga data parser. Implemented Manga Data Source Reliability and Parsing Improvements to fix search/page loading issues, update domain addresses across multiple sources, and mark broken/redirected sources due to site changes. Also completed a Parser Code Quality Refactor for Readability to streamline parser files, rename variables, and remove unused imports, setting the stage for faster updates as source sites evolve. These efforts reduce user-facing data errors, improve uptime, and lower ongoing maintenance costs across KotatsuApp’s parsing workflow.

Activity

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Quality Metrics

Correctness81.8%
Maintainability83.4%
Architecture80.0%
Performance76.6%
AI Usage23.4%

Skills & Technologies

Programming Languages

JavaKotlinYAML

Technical Skills

API IntegrationBackend DevelopmentBug FixingCode RefactoringData ParsingDomain ManagementKotlinParsingSource MaintenanceWeb Scraping

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

KotatsuApp/kotatsu-parsers

Oct 2024 Apr 2025
4 Months active

Languages Used

JavaKotlinYAML

Technical Skills

API IntegrationBackend DevelopmentBug FixingCode RefactoringDomain ManagementParsing

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