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ElaMCB's AI-Testing Universe

AI Testing Universe QA AI Powered AI Research GitHub Native Research

QA Lead specializing in AI-Powered Test Automation
Transforming software quality through intelligent automation and cutting-edge AI

Welcome to my portfolio hub! This meta-repository showcases all my projects, from AI-powered testing infrastructure to practical automation solutions.

AI-Testing Universe Overview

graph TD
    Root[ElaMCB's AI-Testing Universe] --> FP[Featured Projects]
    Root --> PC[Project Categories]
    Root --> CT[Core Technologies]
    
    FP --> MCP[MCP Testing Infrastructure]
    FP --> AI[AI Development Tools]
    FP --> PA[Practical AI Applications]
    
    MCP --> MCP1[-mcp-testing-servers<br/>Agentic testing servers for MCP-native IDEs<br/>Architecture: Bridge AI agents with testing tools<br/>Impact: Autonomous test creation & execution]
    
    AI --> AI1[LILIA<br/>VS Code extension with Agent Army]
    AI --> AI2[Neuro<br/>Intent-driven programming language for AI]
    AI --> AI3[AI-Ethica<br/>Ethical AI evaluation framework]
    
    PA --> PA1[Ela-s-HouseBots<br/>Domestic automation - Chef Bot, Cleaner Bot]
    PA --> PA2[virtual-recruiter-reply-bot_ARIA<br/>AI recruiter response automation]
    
    PC --> PC1[Testing & QA<br/>5 repos: Playwright, TypeScript, MCP]
    PC --> PC2[AI/ML Frameworks<br/>8 repos: Python, TensorFlow, PyTorch]
    PC --> PC3[Development Tools<br/>4 repos: VS Code, Language Design]
    PC --> PC4[Enterprise AI<br/>3 repos: RAG, Automation]
    PC --> PC5[Personal Projects<br/>6 repos: Home automation, Games]
    PC --> PC6[Research<br/>3 repos: Papers, POCs]
    
    CT --> CT1[Testing<br/>Playwright, Selenium, Cypress, MCP]
    CT --> CT2[AI/ML<br/>Python, TensorFlow, PyTorch, Ollama]
    CT --> CT3[Languages<br/>TypeScript, Python, JavaScript, Neuro]
    CT --> CT4[Tools<br/>VS Code, GitHub Actions, Docker]
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Featured Projects

MCP Testing Infrastructure

  • -mcp-testing-servers - Agentic testing servers for MCP-native IDEs
  • Architecture: Bridge AI agents with testing tools using Model Context Protocol
  • Impact: Enables autonomous test creation, execution, and maintenance

AI Development Tools

  • LILIA - VS Code extension with Agent Army
  • Neuro - Intent-driven programming language for AI
  • AI-Ethica - Ethical AI evaluation framework

Practical AI Applications

Innovation Technologies

MCP Protocol Agentic Testing

Project Categories

Category Projects Technologies
Testing & QA 5 repos Playwright, TypeScript, MCP
AI/ML Frameworks 8 repos Python, TensorFlow, PyTorch
Development Tools 4 repos VS Code, Language Design
Enterprise AI 3 repos RAG, Automation
Personal Projects 6 repos Home automation, Games
Research 3 repos Papers, POCs

Core Technologies

Testing: Playwright, Selenium, Cypress, MCP
AI/ML: Python, TensorFlow, PyTorch, Ollama
Languages: TypeScript, Python, JavaScript, Neuro
Tools: VS Code, GitHub Actions, Docker

Advanced Testing Capabilities

Agentic Testing Self Healing Zero Maintenance Autonomous Tests

Architecture Highlights

MCP Testing Ecosystem

graph TB
    AI[AI Assistant] --> MCP[MCP Protocol]
    MCP --> PW[Playwright Server]
    MCP --> Jira[Jira Server]
    MCP --> Azure[Azure DevOps Server]
    PW --> Browser[Browser Automation]
    Jira --> Issues[Issue Tracking]
    Azure --> CI[CI/CD Integration]
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AI Agent Architecture

graph LR
    User[User Intent] --> Neuro[Neuro Language]
    Neuro --> Agent[AI Agent]
    Agent --> Tools[Tool Integration]
    Agent --> Decision[Decision Engine]
    Agent --> Learning[Learning System]
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Neuro Language Intent Recognition Neural Networks

Innovation Pipeline

Phase 1: Autonomous Testing (Current)

graph LR
    CC[Code Changes] --> AA[AI Analysis]
    AA --> TS[Test Selection]
    TS --> AE[Auto Execution]
    AE --> SR[Smart Reporting]
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Phase 2: Predictive Quality (Next)

graph LR
    HD[Historical Data] --> ML[ML Models]
    ML --> RP[Risk Prediction]
    RP --> PA[Preventive Actions]
    PA --> QA[Quality Assurance]
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Research Excellence

Research Velocity Reproducibility Innovation Index Open Science

Our GitHub-native research methodology pioneers new approaches to AI-powered testing, focusing on reproducibility, open science, and measurable innovation.

Research Timeline

Q1 2026 Q2 2026 Q3 2026

Research Focus Areas

1. Zero-Maintenance Testing

  • Goal: 80% reduction in test maintenance effort
  • Approach: AI-driven selector adaptation and self-healing tests
  • Timeline: Q1 2026

2. Ethical AI Validation

  • Goal: Automated bias detection in AI applications
  • Approach: Expand AI-Ethica framework with production monitoring
  • Timeline: Q2 2026

3. Predictive Defect Prevention

  • Goal: 85% accuracy in predicting failure hotspots
  • Approach: ML models analyzing code patterns and user behavior
  • Timeline: Q3 2026

Impact Metrics

Maintenance Reduction Execution Optimization Defect Detection Ethical Compliance

Project Status

Project Status Last Updated Language Focus Area
MCP Testing Servers 🟒 Active Oct 2025 TypeScript Agentic Testing
LILIA 🟒 Active Last week TypeScript AI IDE Tools
AI-Ethica 🟒 Active 2 days ago Python Ethical AI
Neuro 🟑 Maintained Nov 2025 Python AI Language
HouseBots 🟑 Maintained Aug 2025 Python Home Automation

Getting Started

Quick Start

Development Setup

# Clone this meta-repo
git clone https://github.com/ElaMCB/ElaMCB-Portfolio-Hub.git

# Explore individual projects
cd ElaMCB-Portfolio-Hub
./scripts/explore-projects.sh

Documentation

Research Activity & Achievements

Dynamic Metrics

Research Activity Issue Resolution Research Quality

Milestone Achievements

First MCP Testing GitHub Native Open Science

Contributing

Interested in contributing? Check out our Contributing Guide and:

  • Issues: Report bugs or request features
  • Discussions: Share ideas and ask questions
  • Pull Requests: Submit improvements

Connect & Collaborate

Professional Focus

  • Role: QA Lead - AI-Powered Test Automation
  • Expertise: Playwright, TypeScript, Python, MCP
  • Mission: Transforming software quality through intelligent automation

Quality Assurance & Community

Test Coverage Quality Gates Portfolio

Explore | Collaborate | Innovate

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