microsoft/BCTech
Apr 2025 – Apr 2025
1 Month active
Languages Used
ALMarkdown
Technical Skills
AI TestingBusiness Central DevelopmentDocumentationLLM Best PracticesTechnical Writing
stkillen
PROFILE
Stkillen
In April 2025, Steven Killen developed and delivered the AI Testing Documentation Suite for the microsoft/BCTech repository, focusing on standardizing AI testing practices for Business Central. He consolidated guidance on dataset creation, AI test authoring, and the use of the AI Test Tool, with particular attention to validation of LLM-based features and safety and tone guidelines. Steven’s work, implemented using AL and Markdown, addressed cross-language considerations and provided detailed instructions for inspecting test results. This comprehensive documentation suite streamlines onboarding for developers and supports higher quality releases by ensuring reliable, well-documented AI-powered features within the Business Central ecosystem.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
561
Activity Months1
Your Network
4181 people
Work History
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for microsoft/BCTech: Delivered the AI Testing Documentation Suite for Business Central, consolidating datasets creation, writing AI tests, AI Test Tool usage, validation of LLM-based features, safety and tone guidelines, cross-language considerations, and guidance on inspecting test results to ensure reliable AI-powered features. The initiative standardizes AI testing practices, accelerates onboarding, and supports higher quality releases of AI-enabled features.
3 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for microsoft/BCTech: Delivered the AI Testing Documentation Suite for Business Central, consolidating datasets creation, writing AI tests, AI Test Tool usage, validation of LLM-based features, safety and tone guidelines, cross-language considerations, and guidance on inspecting test results to ensure reliable AI-powered features. The initiative standardizes AI testing practices, accelerates onboarding, and supports higher quality releases of AI-enabled features.
April 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage33.4%
Skills & Technologies
Programming Languages
ALMarkdown
Technical Skills
AI TestingBusiness Central DevelopmentDocumentationLLM Best PracticesTechnical Writing
Repositories Contributed To
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