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Andy

PROFILE

Andy

Contributed to the Auto-Claude repository by delivering a major memory system overhaul, replacing FalkorDB with an embedded Python-based LadybugDB solution to eliminate Docker dependencies and streamline cross-platform deployment. Led a comprehensive restructuring of the codebase, separating frontend and backend into dedicated apps and migrating to npm for improved maintainability. Enhanced release automation with code signing, CI/CD improvements, and post-release workflows, while integrating Sentry for error monitoring and CodeQL for security. Implemented features such as version rollback, advanced terminal management, and improved UI/UX using TypeScript, React, and Node.js, while resolving 56 bugs to increase stability and developer productivity.

Overall Statistics

Feature vs Bugs

33%Features

Repository Contributions

92Total
Bugs
56
Commits
92
Features
28
Lines of code
322,193
Activity Months2

Work History

January 2026

90 Commits • 27 Features

Jan 1, 2026

January 2026 saw a concerted push to improve release readiness, stability, and developer productivity across Auto-Claude. Key initiatives included a documentation and architecture overhaul for 2.7.x, major release/process improvements, and substantive feature and reliability work that translates to faster, safer deployments and a better end-user experience. Notable outcomes include the 2.7.x documentation refresh with Git Flow guidance and v2.7.3 download links, a structural refactor moving UI/backend into Apps/frontend and Apps/backend with npm migration, and a robust CI/CD enhancement portfolio enabling automated release triggering and post-release workflows.

December 2025

2 Commits • 1 Features

Dec 1, 2025

December 2025 monthly summary for AndyMik90/Auto-Claude: Delivered the V2.7.0 release featuring a memory system overhaul that migrates from FalkorDB to LadybugDB with an embedded Python solution, eliminating the Docker dependency and enabling a lightweight, platform-agnostic deployment. Introduced automated, code-signed release workflows with broad platform support. Enhanced Ollama embedding model integration with auto-detection to simplify runtime configuration. Resulted in a tighter, more maintainable memory subsystem and faster time-to-market for new features.

Activity

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Quality Metrics

Correctness91.0%
Maintainability87.8%
Architecture87.2%
Performance81.6%
AI Usage79.6%

Skills & Technologies

Programming Languages

BashC#CSSDockerfileHTMLJSONJavaScriptMakefileMarkdownPerl

Technical Skills

AI Agent DevelopmentAI IntegrationAI-assisted DevelopmentAPI IntegrationAPI Key ManagementAccessibilityAccessibility (a11y)Asynchronous ProgrammingAtomic WritesAuthenticationAutomated TestingAutomationBackend DevelopmentBug FixingBuild Automation

Repositories Contributed To

1 repo

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

AndyMik90/Auto-Claude

Dec 2025 Jan 2026
2 Months active

Languages Used

JSONJavaScriptMarkdownPythonShellTypeScriptBashC#

Technical Skills

API Key ManagementCI/CDCode SigningCross-Platform DevelopmentDatabase IntegrationDocker Removal