Vector35/binaryninja-api
Dec 2025 – Jan 2026
2 Months active
Languages Used
C++
Technical Skills
C++ developmentmemory managementperformance optimizationAPI DevelopmentC++Software Engineering
Scott Lagler
PROFILE
Scott Lagler
Scott Lagler contributed to the Vector35/binaryninja-api repository by developing targeted performance and reliability enhancements using C++ and advanced memory management techniques. He introduced reserve calls for std::vector in critical API paths, pre-allocating capacity to reduce reallocations and improve performance under load, which benefits downstream plugins and tooling. In addition, Scott implemented an overflow-aware addition API within the LowLevelILFunction class, enabling more accurate modeling of overflow conditions during binary analysis. His work demonstrated a strong grasp of software engineering principles, focusing on performance optimization and robust API development, and resulted in measurable improvements to both speed and analytical reliability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
101
Activity Months2
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for Vector35/binaryninja-api focusing on delivering overflow-aware arithmetic support and strengthening the reliability of the LowLevelILFunction API. Implemented a new AddOverflow API to correctly model overflow conditions during addition, enabling more accurate disassembly and data flow analysis.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for Vector35/binaryninja-api focusing on delivering overflow-aware arithmetic support and strengthening the reliability of the LowLevelILFunction API. Implemented a new AddOverflow API to correctly model overflow conditions during addition, enabling more accurate disassembly and data flow analysis.
January 2026
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a targeted performance optimization for the Vector35/binaryninja-api by introducing reserve calls for std::vector in critical API paths to pre-allocate capacity. This reduces reallocations as the API grows, improving overall performance for downstream plugins and tooling. Implemented via two commits that touched function.cpp and related areas, enhancing memory management and predictability under load.
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a targeted performance optimization for the Vector35/binaryninja-api by introducing reserve calls for std::vector in critical API paths to pre-allocate capacity. This reduces reallocations as the API grows, improving overall performance for downstream plugins and tooling. Implemented via two commits that touched function.cpp and related areas, enhancing memory management and predictability under load.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
API DevelopmentC++C++ developmentSoftware Engineeringmemory managementperformance optimization
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