github/codeql
Apr 2026 – May 2026
2 Months active
Languages Used
PythonYAMLMarkdown
Technical Skills
C#Code OrganizationJavaProject OrganizationRustYAML
Jack Nørskov Jørgensen
PROFILE
Jack Nørskov Jørgensen
Over a two-month period, contributed to the github/codeql and microsoft/codeql repositories by centralizing and reorganizing generated Models as Data (MaDs) for multiple languages, including Java, Python, and Rust. This work involved refactoring project structures to standardize artifact placement, improving maintainability and reducing build fragility. Delivered Avro MaD model generation and integrated these models into CodeQL analysis, extending coverage for Apache Avro serialization and deserialization. Enhanced CI/CD workflows by broadening Python tooling scope and addressing formatting issues, which improved reliability and reduced maintenance overhead. The approach emphasized code organization, data modeling, and automation using Bash scripting and GitHub Actions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
4
Lines of code
6,740,810
Activity Months2
Your Network
843 peopleSame Organization
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Andy GerlicherMember
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Work History
May 2026
4 Commits • 2 Features
May 1, 2026For May 2026, delivered two major initiatives on github/codeql: Avro MaD model generation and integration for CodeQL analysis, and CI/ tooling enhancements including broader Python tooling scope and formatting fixes, plus corrected placement of generated Avro models. These changes extend CodeQL coverage for Avro artifacts, improve CI reliability, and reduce maintenance friction in data-model generation workflows.
4 Commits • 2 Features
May 1, 2026For May 2026, delivered two major initiatives on github/codeql: Avro MaD model generation and integration for CodeQL analysis, and CI/ tooling enhancements including broader Python tooling scope and formatting fixes, plus corrected placement of generated Avro models. These changes extend CodeQL coverage for Avro artifacts, improve CI reliability, and reduce maintenance friction in data-model generation workflows.
May 2026
April 2026
6 Commits • 2 Features
Apr 1, 2026April 2026 performance: Delivered a major refactor to centralize generated Models as Data (MaDs) across two CodeQL repositories by moving language-specific artifacts into a single modelgenerator directory and updating code generation paths. Achieved cross-repo consistency, improved maintainability, and reduced build fragility through standardized artifact layout. This work enhances onboarding for new languages and lays groundwork for expanded multi-language codegen.
April 2026
6 Commits • 2 Features
Apr 1, 2026April 2026 performance: Delivered a major refactor to centralize generated Models as Data (MaDs) across two CodeQL repositories by moving language-specific artifacts into a single modelgenerator directory and updating code generation paths. Achieved cross-repo consistency, improved maintainability, and reduced build fragility through standardized artifact layout. This work enhances onboarding for new languages and lays groundwork for expanded multi-language codegen.
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance96.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
BashJavaJavaScriptMarkdownPythonYAML
Technical Skills
AI integrationApache AvroBash scriptingC#CI/CDCode OrganizationCodeQLDevOpsGitGitHub ActionsJavaJavaScriptProject OrganizationPythonPython scripting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
microsoft/codeql
Apr 2026 – Apr 2026
1 Month active
Languages Used
BashJavaJavaScriptPython
Technical Skills
Bash scriptingCI/CDGitJavaJavaScriptPython