AI for Coding and Software Development: The Complete Guide

AI for Coding and Software Development: The Complete Guide, Build real software faster and safer using AI coding tools inside Visual Studio Code. This course is demo-first and hands-on. Each lesson is a practical scenario you will see on real teams: a flaky PR, a risky refactor, a failing test suite, a dependency swap, a small feature from a spec, and an end-to-end deploy and verification flow. You will learn how to use modern AI assistants as a daily partner while still keeping the engineering bar high.What you will do in this course Debug real bugs, make safe fixes, and prove them with tests. Turn short specs into shippable changes with clean commits and PR-ready summaries. Refactor confidently using contract tests and review checklists. Generate useful docs and mini runbooks that match the code. Learn how to work within tool limits by batching prompts and keeping context tight. Practice safe workflows for edits and command running (you stay in control). Tools you will learn (in real workflows): Visual Studio Code, GitHub Copilot, Cursor, Google Antigravity, Amazon Q Developer, Windsurf, OpenAI Codex (VS Code). What you get: Step-by-step demos you can follow in your own editor. Downloadable project files for the exercises. Student prompt packs you can reuse to practice the same workflow again. Who this course is for: Developers who can already read and edit code (Python or JavaScript) and want practical, repeatable AI-assisted workflows for shipping features, fixing bugs, writing tests, and reviewing PRs. Prerequisites: VS Code, Python (3.10+ recommended), Node.js (LTS recommended), Git, a GitHub account. ChatGPT Plus is optional and only needed for the Codex section. By the end, you will have a clear workflow you can use at work to build, change, and ship code with more confidence using AI tools.