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Software Engineering

Workshop 06: Mastering AI-Powered Coding Agents (2026 Edition)

26 Modules
Chapter 1: Workshop 06: Mastering AI-Powered Coding Agents (2026 Edition)4%

Workshop 06: Mastering AI-Powered Coding Agents (2026 Edition)

Last Updated: June 2026 — Comprehensive coverage of Claude Code, OpenAI Codex CLI, GitHub Copilot, Cursor AI, and the complete AI coding agent landscape.

Executive Summary

The AI-assisted software development landscape has undergone a generational shift. What began with single-line autocomplete in 2021 has matured into fully agentic coding systems that autonomously navigate codebases, execute multi-file refactors, run tests, and submit pull requests. By mid-2026, two categories of tool define the frontier: terminal-based coding agents (Claude Code and OpenAI Codex CLI) that operate with full repository context and shell access, and IDE-integrated assistants (Cursor, GitHub Copilot, Windsurf) that embed AI directly into the editor workflow. This workshop provides a practitioner's guide to the entire ecosystem.

Key Learning Outcomes

By completing this workshop, you will:

  • Master Terminal-Based AI Agents — Work fluently with Claude Code and OpenAI Codex CLI for agentic software engineering
  • Compare Tools Strategically — Make informed decisions between Claude Code, Codex CLI, Cursor, Copilot, and open-source alternatives
  • Implement Best Practices — Apply proven patterns for project configuration (CLAUDE.md, AGENTS.MD), prompt engineering, and task management
  • Navigate Challenges — Address security, privacy, ethics, and technical limitations
  • Future-Proof Skills — Understand emerging trends and prepare for the next generation of AI coding tools

Workshop Structure

Workshop learning path through nine modules, from introduction and ecosystem to best practices and conclusion

Target Audience

  • Software Engineers seeking to multiply productivity with AI assistance
  • Tech Leads evaluating AI coding tools for team adoption
  • Individual Developers wanting to stay current with AI coding practices
  • CTOs/Engineering Managers making strategic tooling decisions

Technology Coverage (June 2026)

CategoryTools CoveredFocus Level
Anthropic ClaudeClaude Code (CLI, desktop, web, IDE extensions), Fable 5, Opus 4.8, Sonnet 4.6, Haiku 4.5Deep Dive
OpenAI EcosystemCodex CLI (open-source), ChatGPT (GPT-4o, o3), Canvas ModeDeep Dive
IDE-IntegratedCursor AI, GitHub Copilot (+ Workspace), WindsurfComprehensive
Open SourceContinue.dev, Aider, OpenAI Codex CLIComprehensive
HistoricalOriginal Codex API (deprecated 2023)Historical Context

Prerequisites

  • Basic programming knowledge (any language)
  • Familiarity with Git and command-line tools
  • An Anthropic account and/or OpenAI account
  • Optional: Experience with VS Code or JetBrains IDEs

Estimated Time Investment

  • Quick Start: 2-3 hours (Chapters 0-2)
  • Core Mastery: 8-10 hours (Chapters 0-4)
  • Complete Workshop: 15-20 hours (All chapters + exercises)

What Makes This Workshop Unique

  1. Battle-Tested Insights — Based on real-world usage patterns across multiple tools and teams
  2. Multi-Tool Perspective — Head-to-head comparison across the entire landscape
  3. Practical Examples — 50+ real-world scenarios from simple fixes to complex architectures
  4. Security-First — Enterprise-grade security and privacy considerations
  5. Future-Looking — Trends, emerging patterns, and what to watch for next

Key Metrics & Benchmarks (2026)

Capability snapshot comparing Claude Code, Codex CLI, Cursor and Copilot

Note on benchmarks: AI coding benchmarks evolve rapidly and published numbers can vary by evaluation methodology. Rather than citing specific percentages that date quickly, we recommend consulting each vendor's latest benchmark disclosures and running your own evaluations on tasks representative of your codebase.

Quick Reference Card

Claude Code (Anthropic):

  • Install: npm install -g @anthropic-ai/claude-code
  • Also available as: Desktop app (Mac/Windows/Linux), web app (claude.ai/code), VS Code & JetBrains extensions
  • Models: Opus 4.8 (default), Sonnet 4.6 via /fast mode, Fable 5 and Haiku 4.5 also available — check console.anthropic.com for current rates
  • Key features: CLAUDE.md, MCP servers, hooks, subagents, workflows, /fast mode, Agent SDK

OpenAI Codex CLI:

  • Install: npm install -g @openai/codex
  • Open source: github.com/openai/codex
  • Models: Configurable (codex-mini, o4-mini, GPT-4o, o3, etc.) — check platform.openai.com for current rates
  • Key features: AGENTS.MD, sandboxed execution, multi-provider support

IDE-Integrated Tools:

  • Cursor: cursor.sh (VS Code fork, from $20/mo)
  • GitHub Copilot: VS Code/JetBrains extensions ($10-39/mo, free for students/OSS)
  • Windsurf: windsurf.com (from $10-15/mo)
  • Continue.dev: marketplace extension (free, open-source)

Workshop Navigation

Start Here: Chapter 0: Introduction

Complete Chapter List:

  1. Introduction to AI-Powered Software Engineering
  2. Understanding the AI Coding Ecosystem
    • Claude Code, OpenAI Codex CLI, IDE tools, and how they compare
  3. Getting Started
  4. Mastering AI Coding Agents
  5. Practical Applications
  6. The Broader Landscape
  7. Navigating Challenges
  8. Best Practices for Using AI Agents
  9. Conclusion and Next Steps

Community & Support

  • Anthropic Community: docs.anthropic.com, Claude Code GitHub discussions
  • OpenAI Community: community.openai.com
  • GitHub Discussions: Share your projects and patterns
  • Twitter/X: #ClaudeCode #AICode #CodingAgents

Credits

This workshop is based on insights from real-world usage patterns across thousands of developers, competitive landscape analysis, and hands-on experience with every major AI coding tool as of June 2026.

Ready to transform your coding workflow? Start with Chapter 0: Introduction

Last Updated: June 2026 | Covers Claude Code (Fable 5, Opus 4.8, Sonnet 4.6, Haiku 4.5), OpenAI Codex CLI, Cursor, Copilot, and the full AI coding ecosystem