Yeachan-Heo/oh-my-claudecode
Mar 2026 – Mar 2026
1 Month active
Languages Used
JSONJavaScriptMarkdownShellTypeScript
Technical Skills
A/B Testing AnalysisAI Agent BenchmarkingAI Agent DesignAI IntegrationAI Prompt EngineeringAPI Integration
Alex Urevick-Ackelsberg
PROFILE
Alex Urevick-ackelsberg
Alex contributed to the Yeachan-Heo/oh-my-claudecode repository by developing a harsh-critic evaluation framework that enhances adversarial review realism and system resilience. He refactored agent logic to use evidence-based techniques, expanded benchmarking with an eight-fixture harsh-critic pack, and introduced opt-in configurability for advanced review protocols. Alex improved reliability under API load by implementing exponential backoff for overload errors and increased test coverage using Vitest. His work involved TypeScript and JavaScript, focusing on backend development, prompt engineering, and benchmarking. These changes collectively enabled scalable, risk-aware code reviews and more robust agent evaluation, reflecting a deep understanding of software engineering best practices.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
13Total
Bugs
3
Commits
13
Features
10
Lines of code
7,921
Activity Months1
Your Network
48 peopleWork History
March 2026
13 Commits • 10 Features
Mar 1, 2026March 2026 produced a strong stride in the Yeachan-Heo/oh-my-claudecode project, delivering a robust harsh-critic evaluation framework, improved reliability under API load, and hardened benchmarking components. Key enhancements include the Harsh-critic adversarial review agent with opt-in configurability, a refactor replacing adversarial framing with evidence-based techniques, and an expanded benchmark ecosystem with an 8-fixture harsh-critic pack and scoring. Test coverage was expanded with Vitest scoring tests and an updated agent count to 22. Reliability improvements include exponential backoff on API overload errors. Build/dependency maintenance updated dev dependencies (e.g., @anthropic-ai/sdk). Realist Check phase and a “Mitigated by” requirement were added to the evaluation workflow. These changes collectively improve evaluation realism, system resilience, and developer velocity, enabling scalable, risk-aware reviews and benchmarking.
13 Commits • 10 Features
Mar 1, 2026March 2026 produced a strong stride in the Yeachan-Heo/oh-my-claudecode project, delivering a robust harsh-critic evaluation framework, improved reliability under API load, and hardened benchmarking components. Key enhancements include the Harsh-critic adversarial review agent with opt-in configurability, a refactor replacing adversarial framing with evidence-based techniques, and an expanded benchmark ecosystem with an 8-fixture harsh-critic pack and scoring. Test coverage was expanded with Vitest scoring tests and an updated agent count to 22. Reliability improvements include exponential backoff on API overload errors. Build/dependency maintenance updated dev dependencies (e.g., @anthropic-ai/sdk). Realist Check phase and a “Mitigated by” requirement were added to the evaluation workflow. These changes collectively improve evaluation realism, system resilience, and developer velocity, enabling scalable, risk-aware reviews and benchmarking.
March 2026
Activity
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Quality Metrics
Correctness95.4%
Maintainability93.0%
Architecture90.8%
Performance83.8%
AI Usage79.2%
Skills & Technologies
Programming Languages
JSONJavaScriptMarkdownShellTypeScript
Technical Skills
A/B Testing AnalysisAI Agent BenchmarkingAI Agent DesignAI IntegrationAI Prompt EngineeringAPI IntegrationAdversarial TestingAgent DevelopmentBackend DevelopmentBenchmarkingCLI DevelopmentCode AnalysisCode ParsingCode RefactoringCode Review
Repositories Contributed To
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