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Zion Leonahenahe Basque

PROFILE

Zion Leonahenahe Basque

Over a three-month period, contributed to angr/angr by developing and refining features focused on decompilation and command-line tooling. Delivered CLI support for Rust binary decompilation, expanding the tool’s capabilities and adding targeted tests to ensure accuracy for Rust-specific syntax. Enhanced the decompile CLI with Rich-based syntax highlighting, introducing theming and color options to improve code readability and maintainability. Addressed a decompiler optimization bug by implementing a guard against illegal boolean flips in complex control-flow graphs, accompanied by regression tests. Work emphasized Python and Rust programming, static analysis, and robust unit testing to ensure reliability and correctness across updates.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

3Total
Bugs
1
Commits
3
Features
2
Lines of code
245
Activity Months3

Work History

May 2026

1 Commits • 1 Features

May 1, 2026

Monthly work summary for 2026-05 focused on feature delivery and technical improvements for angr/angr. Primary work centered on enabling Rust decompilation in the CLI, expanding support for Rust binaries, and tightening the code path for faster execution. No critical bugs reported this month; work emphasized capability expansion and test coverage to ensure reliability.

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 (2025-09) - Delivered a feature-focused update for angr/angr: default Rich-based syntax highlighting for the decompile CLI with theming and color-disabling options, plus minor code cleanup and typing fixes. No major bugs fixed this month. The work improves readability of decompiled output, reduces cognitive load during analysis, and strengthens maintainability. Commit: 5fd5b43310c22fff36e3156b34263d9b43233d92.

February 2025

1 Commits

Feb 1, 2025

February 2025 focused on correctness and reliability in the decompiler path within angr/angr, delivering a concrete bug fix and accompanying test coverage that reduces mis-optimizations in complex control-flow graphs. The work enhances decompiler correctness, stability, and overall trust in generated code across challenging binaries.

Activity

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Quality Metrics

Correctness96.6%
Maintainability80.0%
Architecture80.0%
Performance73.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

CLI DevelopmentCode HighlightingCode OptimizationDecompilationPythonRust programmingStatic AnalysisTestingcommand line interface developmentdecompilationunit testing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

angr/angr

Feb 2025 May 2026
3 Months active

Languages Used

Python

Technical Skills

Code OptimizationDecompilationPythonStatic AnalysisTestingCLI Development