AI-powered IDEs are changing the development loop: faster scaffolding, better refactors, rapid iteration, and searchable context over large codebases. This workshop trains teams to adopt AI safely and effectively. Choosing strong coding models using public benchmarks, using agent modes correctly, writing prompts that produce dependable output, and debugging AI-generated code with a systematic workflow. Cursor and Claude Code are used throughout for demos and hands-on practice.
- Equip developers with a practical understanding of AI-powered IDEs and how to select the right model for each coding task.
- Build a repeatable AI-assisted development workflow covering prompting, task decomposition, and clear human-AI responsibilities.
- Deliver a working web application end-to-end using AI tools within a single focused build session.
- Module 1
AI-Powered IDEs + Model Selection
How AI-powered IDEs work and how to read coding benchmarks to pick the right model. Covers Cursor, Claude Code, and Copilot setup alongside when to use thinking vs fast mode.
- Module 2
The AI-Assisted Development Workflow
A prompting playbook from intent to tests, with a clear split of human vs AI responsibilities. Covers iterative prompt refinement, task decomposition, and guardrails for safe, reviewable output.
- Module 3
Hands-On Build Challenge
Build a small web app end-to-end using Cursor Agent mode and Claude Code — from plan to scaffold to tests to bug fixes — validated with a final design review.