KotatsuApp/kotatsu-parsers
Feb 2025 – Jul 2025
2 Months active
Languages Used
KotlinYAML
Technical Skills
API IntegrationBackend DevelopmentCode CleanupCode MaintenanceCode RefactoringCode Removal
bai
PROFILE
Bai
During two months contributing to KotatsuApp/kotatsu-parsers, Bai focused on expanding and stabilizing manga source integrations by developing new parser implementations and refining domain management. Bai introduced a configurable MangaReaderParser for Gafeland, leveraging Kotlin and YAML to enable flexible domain and page size settings, and updated summary.yaml for accurate source tracking. The work included systematic removal of obsolete or broken parsers, deprecating support for closed sites, and annotating unreliable sources to improve parsing reliability. Through careful code cleanup, refactoring, and backend maintenance, Bai enhanced data accuracy, reduced maintenance overhead, and streamlined onboarding of new sources, demonstrating strong backend and parser development skills.
Overall Statistics
Feature vs Bugs
57%Features
Repository Contributions
27Total
Bugs
3
Commits
27
Features
4
Lines of code
557
Activity Months2
Your Network
23 people
Work History
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 (KotatsuApp/kotatsu-parsers) monthly recap focusing on business value and technical achievement. Key features delivered: - Added Gafeland manga source support via a new MangaReaderParser implementation with domain and page size configuration; updates summary.yaml to reflect the new source. Major bugs fixed: - Updated domain mappings for Turkish manga sources and annotated numerous sources as broken with @Broken to improve source reliability and downstream parsing stability. Overall impact and accomplishments: - Expanded source coverage with a configurable, parser-based integration for Gafeland, enabling more robust data ingestion and faster onboarding of new sources. - Improved source health and maintainability by cleaning up domain mappings and clearly marking broken sources, reducing downstream errors and investigation time. Technologies/skills demonstrated: - Parser extension (MangaReaderParser) and domain-config driven integration - YAML configuration management (summary.yaml) and source onboarding - Clear commit hygiene and traceability for source changes - End-to-end impact on data quality and pipeline stability
2 Commits • 1 Features
Jul 1, 2025July 2025 (KotatsuApp/kotatsu-parsers) monthly recap focusing on business value and technical achievement. Key features delivered: - Added Gafeland manga source support via a new MangaReaderParser implementation with domain and page size configuration; updates summary.yaml to reflect the new source. Major bugs fixed: - Updated domain mappings for Turkish manga sources and annotated numerous sources as broken with @Broken to improve source reliability and downstream parsing stability. Overall impact and accomplishments: - Expanded source coverage with a configurable, parser-based integration for Gafeland, enabling more robust data ingestion and faster onboarding of new sources. - Improved source health and maintainability by cleaning up domain mappings and clearly marking broken sources, reducing downstream errors and investigation time. Technologies/skills demonstrated: - Parser extension (MangaReaderParser) and domain-config driven integration - YAML configuration management (summary.yaml) and source onboarding - Clear commit hygiene and traceability for source changes - End-to-end impact on data quality and pipeline stability
July 2025
February 2025
25 Commits • 3 Features
Feb 1, 2025February 2025 focused on stabilizing and expanding domain coverage for the KotatsuParser project, with targeted domain mapping updates, cleanup of obsolete parsers, and removal of support for closed sites to minimize failures. The work improved data accuracy, reduced maintenance burden, and enabled faster onboarding of active sites.
February 2025
25 Commits • 3 Features
Feb 1, 2025February 2025 focused on stabilizing and expanding domain coverage for the KotatsuParser project, with targeted domain mapping updates, cleanup of obsolete parsers, and removal of support for closed sites to minimize failures. The work improved data accuracy, reduced maintenance burden, and enabled faster onboarding of active sites.
Activity
Loading activity data...
Quality Metrics
Correctness97.8%
Maintainability98.6%
Architecture97.8%
Performance97.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
KotlinYAML
Technical Skills
API IntegrationBackend DevelopmentCode CleanupCode MaintenanceCode RefactoringCode RemovalDeprecationDeprecation ManagementDomain ManagementKotlin DevelopmentParser DevelopmentParser ManagementRefactoringWeb Scraping
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline