Tool or Technology
TT0081

JetBrains AI Assistant Unlocked

Code, Understand & Refactor with AI

JetBrains AI Assistant
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how JetBrains AI Assistant integrates Generative AI directly into modern software-development workflows.
  • Explore AI capabilities for code completion, code explanation, generation, refactoring, testing, and project understanding.
  • Develop awareness of effective developer prompting and project-context techniques for improving AI-generated results.
  • Experience practical AI-assisted coding activities directly within supported JetBrains IDEs.
  • Recognise responsible practices for reviewing, testing, securing, and validating AI-generated code before implementation.

Technology covered

JetBrains AI AssistantAI ChatAI Code CompletionNext Edit SuggestionsAI ActionsRefactoring AssistanceUnit Test GenerationCoding Agents

Who should attend

  • Software Developers
  • Software Engineers
  • Java & Kotlin Developers
  • Python Developers
  • Web & Full-Stack Developers
  • C# / .NET Developers
  • QA & Test Automation Engineers
  • DevOps & Platform Engineers
  • Technical Leads
  • Solution & Application Architects
  • Engineering Team Members

Prerequisites & Participant Readiness

  • Basic programming knowledge in at least one supported programming language
  • Familiarity with source code, functions, classes, files, and software-development concepts
  • Basic experience using a JetBrains IDE such as IntelliJ IDEA, PyCharm, WebStorm, Rider, GoLand, or another supported IDE
  • Basic familiarity with Git or source-control concepts is helpful
  • No previous JetBrains AI Assistant experience required

TOC Modules

Concepts
  • Understanding Generative AI in the software-development lifecycle
  • Understanding JetBrains AI Assistant and its integration within JetBrains IDEs
  • Exploring AI Chat, in-editor assistance, coding agents, and AI Actions
  • Identifying suitable applications across coding, debugging, testing, documentation, and refactoring
  • Understanding limitations and the importance of developer oversight
Practical activities
  • Exploring AI Assistant inside a sample JetBrains project
  • Using AI Chat to ask a simple question about existing project code

Scenarios

Development Requirement to Tested Implementation

Development Requirement → Project Context → AI-Assisted Code Generation → Refactoring → Unit Tests → Developer Review → Completed Change

Participants use JetBrains AI Assistant to understand an existing project, implement a small development requirement, improve the generated solution, and create supporting tests, reducing routine development effort.

Legacy Code Understanding & Improvement

Existing Code → AI Explanation → Issue Identification → Refactoring Suggestions → Documentation → Developer Validation

Participants use AI Assistant to understand unfamiliar or legacy code, identify opportunities for improvement, and generate clearer documentation and refactoring suggestions to improve maintainability.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.