Role-Based Programme
RB0610

JetBrains AI Assistant for Product & Service Management

Translate Product Requirements into Technical Insight & Delivery Actions

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational capability in using JetBrains AI Assistant to understand technical product environments and communicate more effectively with engineering teams.
  • Translate product requirements, user stories, acceptance criteria, and change requests into clearer technical context.
  • Use project-aware AI assistance to understand existing code, dependencies, implementation impact, and development constraints.
  • Support feature clarification, defect discussions, testing, release reviews, and engineering handoffs without requiring product managers to become developers.
  • Apply human validation, confidentiality, security, and responsible-AI practices when working with product and codebase information.

Tools covered

JetBrains AI AssistantAI ChatProject ContextCode ExplanationCode Generation & Refactoring AssistanceCommit ContextNext Edit SuggestionsCoding AgentsJunieModel Context Protocol (MCP)Agent Client Protocol (ACP)Project Instructions.

Who should attend

  • Technical Product Managers
  • Product Managers
  • Product Owners
  • Digital Product Managers
  • AI Product Managers
  • Platform Product Managers
  • Product Operations Professionals
  • Product Analysts
  • Business Analysts
  • Technical Business Analysts
  • Service Managers
  • Product Strategy Professionals
  • Product & Engineering Coordinators

Prerequisites & Participant Readiness

  • Basic understanding of product or service-management activities
  • Familiarity with requirements, user stories, acceptance criteria, and product backlogs
  • Basic awareness of software-development terminology and application architecture is helpful
  • Ability to work with engineering or technical teams
  • No advanced programming expertise required
  • No previous JetBrains AI Assistant experience required

TOC Modules

Concepts
  • Understanding JetBrains AI Assistant as an IDE-integrated environment for AI Chat, coding assistance, and agent-based development workflows
  • Understanding project-aware context using files, folders, symbols, commits, and repository information
  • Identifying relevant product-management applications across requirements, technical discovery, change analysis, and delivery collaboration
  • Differentiating product ownership from engineering implementation responsibility
Practical activities
  • Exploring AI Chat within a sample technical product project
  • Asking structured questions about project purpose, architecture, and major components
  • Creating a high-level product-to-technical system summary

Scenarios

Product Requirement to Engineering-Ready Feature

Customer Need → Product Requirement → JetBrains AI Assistant Project Analysis → Affected Components → Technical Questions → Refined Acceptance Criteria → Engineering Review → Delivery Plan

Participants use project-aware AI assistance to understand how a proposed feature relates to the existing application and prepare a clearer, technically informed requirement for engineering discussion.

Customer-Reported Issue to Product Acceptance

Customer Issue → Expected Behaviour → AI-Assisted Codebase Investigation → Engineering Diagnosis → Proposed Fix → Test Scenarios → Product Validation → Release Communication

Participants follow a customer issue from product clarification through technical investigation and acceptance, using JetBrains AI Assistant to strengthen collaboration while leaving implementation and final technical validation with engineering specialists.

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