Kilo-Org/kilocode
Nov 2025 – Jan 2026
2 Months active
Languages Used
TypeScriptJSON
Technical Skills
AI Model IntegrationAPI DevelopmentModel IntegrationSoftware ArchitectureTypeScriptTypeScript Development
Cody Swartz
PROFILE
Cody Swartz
During a two-month period, Cheng integrated advanced AI models GLM 4.6 and Kimi K2 Thinking into the Fireworks provider for the Kilo-Org/kilocode repository, expanding context windows and enabling more sophisticated reasoning for automation workflows. He used TypeScript and Node.js to ensure robust model integration and maintained end-to-end traceability through disciplined version control. In addition, Cheng improved internationalization by correcting agent rules documentation URLs and enhanced developer efficiency in the BloopAI/vibe-kanban repository by migrating package management from npm to pnpm. His work demonstrated depth in software architecture, API development, and documentation, resulting in more reliable and maintainable codebases.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
86
Activity Months2
Your Network
144 people
Work History
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026: Delivered targeted fixes and efficiency improvements across two repositories, delivering measurable business value in reliability and faster development cycles.
2 Commits • 1 Features
Jan 1, 2026January 2026: Delivered targeted fixes and efficiency improvements across two repositories, delivering measurable business value in reliability and faster development cycles.
January 2026
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025: Delivered substantial Fireworks provider enhancements for kilocode by integrating new AI models (GLM 4.6 and Kimi K2 Thinking). These updates expand context window, enable advanced reasoning, and broaden model support to improve user interactions and automation workflows. No major bugs reported or fixed this month; changes focused on feature delivery and code traceability. Overall impact: enhanced AI capability, better decision-making, and a foundation for higher throughput in AI-powered tasks. Technologies demonstrated: Python module integration, model deployment, version control discipline, and end-to-end traceability for feature work.
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025: Delivered substantial Fireworks provider enhancements for kilocode by integrating new AI models (GLM 4.6 and Kimi K2 Thinking). These updates expand context window, enable advanced reasoning, and broaden model support to improve user interactions and automation workflows. No major bugs reported or fixed this month; changes focused on feature delivery and code traceability. Overall impact: enhanced AI capability, better decision-making, and a foundation for higher throughput in AI-powered tasks. Technologies demonstrated: Python module integration, model deployment, version control discipline, and end-to-end traceability for feature work.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
JSONJavaScriptTypeScript
Technical Skills
AI Model IntegrationAPI DevelopmentJavaScriptModel IntegrationNode.jsSoftware ArchitectureTypeScriptTypeScript Developmentdocumentationinternationalizationlocalizationpackage management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
BloopAI/vibe-kanban
Jan 2026 – Jan 2026
1 Month active
Languages Used
JavaScript
Technical Skills
JavaScriptNode.jspackage management