Java Build Tools, Testing & AI-Assisted Development

Explore the basics of deploying Java applications, including packaging, environment setup, deployment tools, and best practices for smooth application release.

Discover the basics of Maven build management, including project setup, dependency management, and automation of Java project builds.

Learn to configure Maven for a multi-module Java project, manage shared dependencies, resolve conflicts, and structure POM files for reliable builds and easier maintenance.

Explore the basics of Gradle, its build automation capabilities, core concepts, and how to set up and run simple builds for software projects.

Learn to translate a Maven Java build to Gradle Kotlin DSL, configuring plugins, dependencies, Java version, test setup, packaging, and deployment for an incident alert app.

Learn the basics of unit testing in Java using JUnit, including writing, running, and interpreting test cases to improve code reliability and software quality.

Learn advanced JUnit 6 techniques—parameterized tests, tags, assumptions, timeouts, and test ordering—to create robust unit tests for a SaaS pricing calculator.

Explore the basics of Test-Driven Development (TDD), its process, benefits, and how writing tests first leads to better, more reliable code.

Practice strict Red-Green-Refactor TDD by building and testing a payroll overtime calculator one step at a time, ensuring code correctness and safe refactoring.

Explore the basics of mocking and test doubles in unit testing, focusing on how to use Mockito for effective Java code testing.

Learn to write isolated unit tests for business logic in Java services using Mockito—stubbing, verifying call order, and argument matchers—without real dependencies.

Explore integration testing strategies, their importance, common approaches, and how they ensure components work smoothly together in software systems.

Learn to implement real HTTP integration tests to validate external API handling, data filtering, and workflow integration for a customer support ticket aggregator.

Explore the basics of code coverage, understand its importance, and learn how to use JaCoCo to measure and improve Java code quality.

Learn to configure JaCoCo for Java projects, generate coverage reports, and interpret results to identify and improve untested code branches using Maven build tooling.

Explore cloud-based Claude Code for AI-assisted development, learning to configure environments and leverage AI for coding and workspace management tasks.

Explore AI coding assistants like Copilot, their modes (edit, agent), and learn to systematically review and evaluate AI-generated code using proven engineering best practices.

Learn to systematically review AI-generated Java code for clarity, magic numbers, and error handling by analyzing test failures and comparing improvements for code quality.

Learn structured prompt engineering for code generation—move from reactive fixes to proactive, clear communication using a 5-step framework for higher-quality, efficient AI output.

Learn to write clear, structured prompts for AI code generation using XML, reducing context gaps and ensuring targeted, safe code changes with preserved behaviors and constraints.

Learn to detect code quality red flags, spot AI-specific hallucinations, and assess security, ethical, and reliability risks in AI-assisted development for safe production code.

Learn to identify and correct AI hallucinations in code by reviewing for structure, phantom libraries, security, bias, and reliability issues before deployment.