Build faster, ship better, and learn smarter with an end-to-end, hands-on course that takes you from first contact with Augment Code AI to delivering a production-ready Android feature. Designed for both newcomers and experienced developers, this course shows how a modern AI coding assistant can collaborate with you—explaining unfamiliar code, proposing refactors, generating tests, and even planning multi-file changes.
You’ll start by setting up Augment Code in your preferred IDE (Android Studio/IntelliJ, VS Code, or Vim/Neovim). From there, you’ll master the platform’s core capabilities: intelligent code completion, chat-based code understanding, semantic search and navigation across large repos, automated refactoring, and agent-driven task execution (from creating files to opening pull requests). You’ll also learn how to tailor the assistant to your project with Memories, Rules, and extended context (e.g., docs, schemas, design assets) so suggestions align with your architecture and standards.
The second half of the course is fully practical. We’ll integrate Augment Code into an Android project and use it to: scaffold UI with Jetpack Compose, navigate complex module layouts, diagnose crashes from stack traces, spot performance smells, generate unit tests, and automate repetitive edits. The capstone is a guided case study using Google’s open-source Now in Android app, where you’ll add a real feature, review the AI’s changes, and iterate to production quality.
By the end, you will be able to:
- Install, configure, and confidently use Augment Code across popular IDEs.
- Query and understand large codebases in minutes, not days.
- Apply agent workflows to plan, implement, and review multi-file changes.
- Accelerate Android development with Compose, ViewModels, DataStore, and Navigation.
- Improve code quality via AI-assisted refactors, tests, and documentation.
- Integrate external context (designs, specs, API docs) for higher-fidelity suggestions.
Who this course is for:
- Beginners who want a guided “pair programmer” to explain code and generate boilerplate.
- Working developers who want to boost velocity, reduce defects, and standardise code at the team scale.
Format & Prerequisites:
- Hands-on demos, live coding, and guided labs; Android Studio recommended.
- Basic Kotlin/Java familiarity helpful, but not required—AI support keeps the learning curve friendly.
Outcome
Walk away with a clear, repeatable workflow for pairing with Augment Code AI—plus a functioning Android feature you built with an AI agent as your round-the-clock collaborator. This course is assisted by Artificial Intelligence (AI) tools.
