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Curtis Chin Jen Sem

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Curtis Chin Jen Sem

In September 2025, Chinedu Sochin Jensem developed a fuzzy matching feature for Cabal autocompletion within the input-output-hk/haskell-language-server repository. By integrating an edit-distance library in Haskell, he enhanced the Language Server Protocol’s completion logic to tolerate typos in cabal file fields, streamlining the configuration process for developers. This targeted update improved the relevance of suggestions and reduced manual correction, directly addressing common pain points in Cabal file editing. The work demonstrated a focused application of text processing and LSP integration skills, delivering a practical user experience improvement without introducing new bugs, and reflecting a thoughtful, performance-conscious engineering approach.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
238
Activity Months1

Work History

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 focused on a targeted UX enhancement for Cabal configuration workflows within the Haskell Language Server. A fuzzy matching feature was added to the Cabal autocompletion, enabling tolerance for typos in cabal file fields by leveraging an edit-distance library. This improves completion relevance and reduces manual edits when editing cabal configurations, directly boosting developer productivity and reducing setup errors. The change is tracked in the input-output-hk/haskell-language-server repository and is associated with the commit 91d2b4897d792aa9eca53bdee1220a353362a57c (Use edit-distance to fix typos in cabal fields). No major bugs were reported or fixed this month. Overall impact: smoother Cabal file editing, faster onboarding for new projects, and a more forgiving LSP experience. Technologies/skills demonstrated: Haskell, language server protocol (LSP) integration, edit-distance-based fuzzy matching, code changes focused on completion logic, performance-conscious UX improvements.

Activity

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Quality Metrics

Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Haskell

Technical Skills

CabalFuzzy MatchingHaskellLanguage Server ProtocolText Processing

Repositories Contributed To

1 repo

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

input-output-hk/haskell-language-server

Sep 2025 Sep 2025
1 Month active

Languages Used

Haskell

Technical Skills

CabalFuzzy MatchingHaskellLanguage Server ProtocolText Processing