tenstorrent/tt-llk
Jan 2026 – Mar 2026
3 Months active
Languages Used
C++PythonMarkdown
Technical Skills
C++C++ programmingEmbedded SystemsMathematicsembedded systemshardware configuration
Nikola Jokovic
PROFILE
Nikola Jokovic
During a three-month period, Novak Djokovic contributed to the tenstorrent/tt-llk repository by building features that improved both hardware configuration and developer experience. He implemented auto-bank detection for the Blackhole feature in C++, optimizing mathematical operations and centralizing detection logic to enhance maintainability. Djokovic also addressed a race condition in ALU configuration, ensuring deterministic hardware behavior. He refactored core code for type safety, introducing enum usage and Python-based pre-commit scripts to standardize API boundaries. In addition, he authored onboarding and AI usage documentation in Markdown, establishing clear guidelines for future automation and reducing ramp time for new contributors.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
3
Lines of code
13,857
Activity Months3
Your Network
388 peopleWork History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered AI Usage Documentation and Onboarding Materials for tt-llk, establishing foundational docs to improve onboarding, AI usage consistency, and readiness for AI-enabled workflows. Implemented a pre-context prompt file and documentation for Cursor rules and subagents to shorten ramp time and reduce ambiguity in AI interactions. No major bugs fixed this month; focus was on building scalable documentation and enabling future automation and testing work. Business impact: faster onboarding, clearer AI usage guidance, and a solid foundation for future features.
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered AI Usage Documentation and Onboarding Materials for tt-llk, establishing foundational docs to improve onboarding, AI usage consistency, and readiness for AI-enabled workflows. Implemented a pre-context prompt file and documentation for Cursor rules and subagents to shorten ramp time and reduce ambiguity in AI interactions. No major bugs fixed this month; focus was on building scalable documentation and enabling future automation and testing work. Business impact: faster onboarding, clearer AI usage guidance, and a solid foundation for future features.
March 2026
February 2026
3 Commits • 1 Features
Feb 1, 2026February 2026: Tenstorrent tt-llk – Key code-quality and type-safety enhancements across the core library. Deliveries focus on safer API usage, easier maintenance, and clearer math paths that reduce runtime errors and support safer evolutionary steps.
February 2026
3 Commits • 1 Features
Feb 1, 2026February 2026: Tenstorrent tt-llk – Key code-quality and type-safety enhancements across the core library. Deliveries focus on safer API usage, easier maintenance, and clearer math paths that reduce runtime errors and support safer evolutionary steps.
January 2026
2 Commits • 1 Features
Jan 1, 20262026-01 Monthly work summary focusing on key accomplishments for tenstorrent/tt-llk. The primary deliverables this month were the implementation of auto-bank detection for the Blackhole feature to improve handling of destination banks in mathematical operations, and the resolution of a race condition in the ALU configuration between TRISC0 and TRISC1 to ensure correct hardware setup prior to execution. These changes were validated through CI checks and associated test updates, with legacy bank-detection functions removed and centralization of detection logic to improve maintainability and performance.
2 Commits • 1 Features
Jan 1, 20262026-01 Monthly work summary focusing on key accomplishments for tenstorrent/tt-llk. The primary deliverables this month were the implementation of auto-bank detection for the Blackhole feature to improve handling of destination banks in mathematical operations, and the resolution of a race condition in the ALU configuration between TRISC0 and TRISC1 to ensure correct hardware setup prior to execution. These changes were validated through CI checks and associated test updates, with legacy bank-detection functions removed and centralization of detection logic to improve maintainability and performance.
January 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.8%
Architecture86.8%
Performance86.8%
AI Usage46.6%
Skills & Technologies
Programming Languages
C++MarkdownPython
Technical Skills
AI integrationC++C++ DevelopmentC++ programmingCode Quality AssuranceEmbedded SystemsEnum UsageMathematicsPython ScriptingRefactoringSoftware RefactoringType Safetydocumentationembedded systemshardware configuration
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