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Technical Blog

• My Technical Blog
  Tag-based Categories, only PC (not Mobile)

Information	Tags
AI	AI-Tensorflow / AI-Machine Deep Learning / AI-TinyML

How to use these links

Click each Tag link to view all related posts at once.
All links redirect to my technical blog (Blogger), organized using tag-based categories
The blog is primarily written in Korean, with English support available via Google Translate.

Go Back Technical-Skills->AI and Edge AI

AI-Agent with MCP

• Purpose

  • AI Agent workflow based on MCP
  • Connect Claude, Codex, Ollama, and GitHub operations through MCP
  • Support MCP-based local execution
  • Support Devops CI/CD/CT automation
    • Github-based CI/CD/CT: GitHub Actions with Github Issue, Self-hosted runners.
    • Jenkins-based CI/CD/CT: automation within a documentation-first project workflow.
      

• Links

  • GIT: https://github.com/JeonghunLee/local-ai-agent-mcp
  • Supported Documentation: GithubPages Hosting only
    • DOC: Documentation
  • Supported Github Issues: Github Issues and REPORTS/RESULTS (Automation)
    • Github Issues (Automation)

• Scope

  • AI Agent usage
  • MCP Tool integration
  • GitHub automation
  • Local TEST execution
  • CI/CD/CT workflow

Technical Summary

• AI-based CI/CD/CT automation for code generation, review, testing, and deployment..

AI-driven Embedded Continuous Testing

• Purpose
  • AI-driven Continuous Testing workflow for embedded systems
  • Support pytest-based CT and unittest-based Unit Test
  • Support Mock / HIL test environments
  • Support hardware test automation with TEST Interface and Equipment separation
  • Support Local LLM Test Review using Ollama
  • Support VS Code Testing / Run and Debug
  • Generate TEST execution history and reports using Markdown
  • Support documentation and document conversion using MkDocs / Pandoc

• Links

  • GIT: https://github.com/JeonghunLee/AI-driven-CI-CT
  • Supported Documentation: GithubPages Hosting only
    • DOC: Documentation
  • Supported Github Issues: Github Issues and REPORTS/RESULTS (Automation):
    • Github Issues (Automation)
  • TEST REPORTS/RESULTS (Automation):
    • Pytest TEST Results
    • Unittest TEST Results

• Scope

  • Embedded Continuous Testing
  • Pytest TEST Case / TEST ID management
  • Unittest function-based testing
  • Fixture-based Mock / HIL environment
  • TEST Interface / Equipment automation
  • VS Code Testing Adapter / Discovery
  • Local LLM Test Analysis and Review
  • Execution ID / TEST Result history
  • MkDocs / Pandoc TEST documentation

Technical Summary

• AI-driven Embedded Continuous Testing using pytest, unittest, Mock/HIL, hardware test automation, VS Code Testing, Ollama, MkDocs, and Pandoc.