掌握Claude Code CLI，全自动生成单元与集成测试，智能分析堆栈并修复缺陷，无缝集成GitHub Actions或GitLab CI，提升代码质量与交付效率。
原始标题：Claude Code Testing and Debugging: AI-Powered Generation
本课程专为中级软件、自动化测试及运维工程师设计，旨在通过 Claude Code CLI 工具 实现全自动生成单元与集成测试、智能分析堆栈信息并一键修复本地代码缺陷，同时演示如何将 AI 驱动的质检流程无缝嵌入 GitHub Actions 或 GitLab CI 工作流，并基于企业级 SWE-bench 框架培养学员利用 AI 智能体（Agents）高效解决跨文件真实 GitHub 议题的能力。
Published 8/2026
Created by ACHRAF ER-RAYA
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 27m ) | Size: 842.5 MB
Master Claude Code testing and debugging to build reliable tests, fix bugs, and harden CI workflows with confidence.
What you’ll learn
⚡ Use the Claude Code CLI to autonomously generate comprehensive unit and integration test suites for complex applications with zero manual boilerplate.
⚡ Command Claude to analyze stack traces, identify root causes of logic flaws, and automatically patch bugs directly inside your local codebase.
⚡ Integrate AI-driven quality assurance into GitHub Actions or GitLab CI to catch and fix code vulnerabilities automatically before they reach production.
⚡ Master enterprise workflows for coding agents to resolve multi-file, real-world GitHub issues using the SWE-bench evaluation framework.
Requirements
❗ Basic understanding of software development (e.g., Python, JavaScript) and comfort navigating a terminal or command-line interface. You will also need an active Anthropic API key to utilize the Claude Code CLI tools. No prior AI engineering experience is required.
Description
“This course contains the use of artificial intelligence.”
Turn Claude Code from a fast code generator into a disciplined testing, debugging, and CI/CD partner.
You will learn a practical, evidence-first workflow for using Claude Code on real engineering tasks. Instead of accepting the first patch that appears, you will define expected behavior, create meaningful tests, diagnose failures, review generated diffs, and verify changes through automated quality checks.
Who this course is for
⭐ Mid-level software engineers, QA automation specialists, and DevOps engineers who are tired of writing boilerplate tests and want to drastically reduce debugging time by integrating autonomous AI coding agents directly into their local development workflows.
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