golang/tools
Mar 2025 – Jun 2025
2 Months active
Languages Used
Go
Technical Skills
Code Quality ToolsCode RefactoringGo DevelopmentGo ProgrammingStatic AnalysisCode Linting
Kyle Weingartner
PROFILE
Kyle Weingartner
Over a two-month period, contributed to the golang/tools repository by developing and refining static analysis tools for Go codebases. Built the Go maprange Analyzer, which detects and suggests fixes for redundant or inefficient uses of maps.Keys and maps.Values within for-range loops, directly improving code readability and performance by reducing unnecessary allocations. Leveraged Go programming, static analysis, and code refactoring skills to implement this analyzer and integrate it with type handling improvements. Additionally, enhanced the linter’s assign analysis pass to accurately identify and report self-assignments in parallel statements, providing actionable suggestions and increasing the reliability of code quality signals for developers.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
779
Activity Months2
Your Network
4800 peopleSame Organization
@google.com4703
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Work History
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary for golang/tools: Focused on strengthening the linter's reliability around self-assignments in parallel statements. Delivered a refactor of the assign analysis pass to correctly identify and report self-assignments, including multiple self-assignments within a single statement, and added suggestions to remove them. This resolved gaps where complex self-assignments were missed or misreported, improving trust in code quality signals and developer feedback. Business value includes more accurate lint signals, faster remediation for self-assignment patterns, and reduced debugging time in large Go codebases.
1 Commits
Jun 1, 2025June 2025 monthly summary for golang/tools: Focused on strengthening the linter's reliability around self-assignments in parallel statements. Delivered a refactor of the assign analysis pass to correctly identify and report self-assignments, including multiple self-assignments within a single statement, and added suggestions to remove them. This resolved gaps where complex self-assignments were missed or misreported, improving trust in code quality signals and developer feedback. Business value includes more accurate lint signals, faster remediation for self-assignment patterns, and reduced debugging time in large Go codebases.
June 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly work summary for golang/tools: Delivered the Go maprange Analyzer, a static analysis that detects redundant or inefficient calls to maps.Keys and maps.Values inside for-range loops and provides fixes to directly range over the map. Supports standard library maps and golang.org/x/exp/maps. Implemented through go/analysis/passes/maprange and gopls/internal/analysis/maprange using typeindex to improve type handling. This change improves readability, reduces allocations, and enhances performance in codebases that heavily use maps. Key commits include 084551fb2c220b27775cbeb1a4b884dd29aac742 and 8be0d5f6f63449d5236aca9528f40e7bf6ef0215.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly work summary for golang/tools: Delivered the Go maprange Analyzer, a static analysis that detects redundant or inefficient calls to maps.Keys and maps.Values inside for-range loops and provides fixes to directly range over the map. Supports standard library maps and golang.org/x/exp/maps. Implemented through go/analysis/passes/maprange and gopls/internal/analysis/maprange using typeindex to improve type handling. This change improves readability, reduces allocations, and enhances performance in codebases that heavily use maps. Key commits include 084551fb2c220b27775cbeb1a4b884dd29aac742 and 8be0d5f6f63449d5236aca9528f40e7bf6ef0215.
Activity
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Quality Metrics
Correctness96.6%
Maintainability86.6%
Architecture90.0%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Go
Technical Skills
Code LintingCode Quality ToolsCode RefactoringGo DevelopmentGo ProgrammingStatic Analysis
Repositories Contributed To
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