The Complete Augment Code Ai 2025 In Android App Development

Learn how to build an Android Application completely using Augment Code AI and integrate you in any Big Real Project

What you'll learn

Complete Course on Augment Code AI

Integrate you into any Big Real Android Project quickly and efficiently by using Augment Code AI

Building an Android Application from scratch completely using Augment Code AI

Be able to use Augment Code AI for any Android application that you want to build in the future

Requirements

A basic understanding of Android Development is helpful and have AI start generating code for you!

Description

Augment Code AI from Zero: Full Feature Tour and Android App BuildBuild 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 forBeginners 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 & PrerequisitesHands-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.OutcomeWalk 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.

Overview

Section 1: Introduction to the course

Lecture 1 Introduction to the Course

Section 2: Setting Up the Environment and Getting Started with Augment Code AI

Lecture 2 Creating an Augment Code Account (and Choosing a Plan)

Lecture 3 Installing Augment Code AI in Android Studio

Section 3: Case Study - Augment Code AI with Big Real Project Now in Android

Lecture 4 Case Study Overview

Lecture 5 About the Now in Android App

Lecture 6 Now in Android's Project Structure and Codebase

Lecture 7 Setting Up Augment Code AI with Now in Android

Lecture 8 Quick Test - Augment Code’s Understanding about Now in Android project

Lecture 9 Exploring the Now in Android Codebase with Augment Code AI

Lecture 10 Understanding the Architecture and Data Flow

Lecture 11 Jumping to Key Code Components

Lecture 12 Analyzing a Specific Feature

Lecture 13 Searching Cross-References Across the Codebase

Lecture 14 Using the Project’s Documentation

Beginner developers who want to learn Augment Code AI,Android developer looking to develop and build applications faster and efficiently with Augment Code AI,Students and professionals exploring real-world AI coding workflows,Anyone curious how Augment Code AI works in real projects