AI Coding Tools Compared: ChatGPT, Claude, Copilot, Cursor, Lovable and AI Agents
Explore the rapidly growing ecosystem of AI-assisted development tools. Compare ChatGPT, Claude, GitHub Copilot, Cursor, and Lovable through live demos, and understand where AI agents are heading.
Timestamps
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Introduction to the workshop and overview of AI-assisted development tools
Reviewing the session agenda and resources that will be shared
Understanding chat apps, coding assistants, project bootstrappers, and agents
Introduction to the upcoming AI Dev Tools Zoomcamp course in September
Starting the live coding demonstration with a Snake game project
Using ChatGPT to generate code for the Snake game
Crafting prompts to generate a React-based Snake game
Getting setup instructions from ChatGPT to run the code locally
Addressing issues with outdated responses, Tailwind CSS setup, and legacy configurations
Demonstrating Claude.ai's capabilities for coding tasks and debugging
Moving from standalone chat applications to IDE-integrated tools
Using claude-code command-line tool for project scaffolding and setup
Exploring GitHub Copilot for real-time code suggestions in VS Code
Demonstrating Copilot's refactoring capabilities with the Snake game
Deep dive into Cursor IDE and its AI-powered features for developers
Demonstrating Lovable's ability to instantly create styled web project prototypes
Understanding the next generation: autonomous AI agents that can execute tasks
Showcasing Anthropic's computer-use agent performing real actions on a desktop environment
Live example of the agent performing a web search for 'cute kitten pictures'
Final summary comparing all demonstrated tools and their use cases
Core Tools
What You'll Learn
- Comparing chat-based coding assistants (ChatGPT vs Claude) in real projects
- Using GitHub Copilot and Cursor inside VS Code for faster development
- Bootstrapping full projects with tools like Lovable and claude-code CLI
- Understanding the difference between chatbots, coding assistants, project bootstrappers, and agents
- Understanding how Anthropic's computer-use agent performs real actions on desktop environments
- Identifying common limitations and pitfalls when working with AI coding tools
- Exploring upcoming learning opportunities in AI Dev Tools
Expected Outcome
A comprehensive understanding of the AI-assisted development tool ecosystem, including when to use each tool type, their strengths and limitations, and how autonomous agents are shaping the future of software development