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Joshua Delgado

PROFILE

Joshua Delgado

Worked on the DataDog/datadog-static-analyzer repository, delivering six features over three months to expand language support and improve static analysis reliability. Introduced robust handling for incomplete code paths and enhanced error resilience in Python import parsing, supported by targeted refactoring and new unit tests. Added Rust as the default ruleset language and published Dart rulesets, broadening the analyzer’s applicability across ecosystems. Managed multiple releases using Cargo and version control, aligning distribution assets for cross-platform installation. Leveraged skills in Rust, Python, and release management to ensure maintainability, extensibility, and onboarding readiness, with a focus on automated checks and streamlined release processes.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

8Total
Bugs
0
Commits
8
Features
6
Lines of code
410
Activity Months3

Work History

July 2026

2 Commits • 2 Features

Jul 1, 2026

Monthly summary for 2026-07 focusing on DataDog/datadog-static-analyzer. Key features delivered include Dart support in the static analyzer rulesets and a release upgrade to version 0.8.9. No major bugs fixed this month. Impact: broadened language coverage for static analysis, enabling Dart projects to benefit from automated checks and faster feedback; release readiness maintained with standard versioning. Technologies/skills demonstrated: Dart configuration in rulesets, Cargo.toml release management, and release discipline in a Rust/Cargo project.

June 2026

2 Commits • 2 Features

Jun 1, 2026

June 2026 monthly summary for DataDog/datadog-static-analyzer: Delivered Rust support as the new default language for static analyzer rulesets and released version 0.8.6 with new platform download links. These changes broaden language coverage, improve distribution, and position the product for broader developer adoption.

April 2026

4 Commits • 2 Features

Apr 1, 2026

Month: 2026-04 — DataDog/datadog-static-analyzer delivered two core features to improve reliability and accuracy of static analysis. The updates reduce noise from incomplete code paths and enhance resilience when parsing imports with errors. The work is supported by added tests and targeted refactors, improving maintainability and future extensibility.

Activity

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Quality Metrics

Correctness95.0%
Maintainability92.6%
Architecture92.6%
Performance92.6%
AI Usage25.0%

Skills & Technologies

Programming Languages

JSONPythonRustTOML

Technical Skills

CargoPythonRelease ManagementRustRust programmingStatic Analysisrelease managementsoftware distributionsoftware testingstatic analysisunit testingversion control

Repositories Contributed To

1 repo

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

DataDog/datadog-static-analyzer

Apr 2026 Jul 2026
3 Months active

Languages Used

PythonRustJSONTOML

Technical Skills

PythonRustRust programmingsoftware testingstatic analysisunit testing