Workshop: Rules and commands for Agentic IDE (Cursor, Claude, Copilot)

Create effective rules and commands for modern Agentic IDEs (Cursor, Claude, Copilot) and start systematically managing agents.

Mentor - Viacheslav Koldovskyy, Competence Manager at SoftServe
Workshop: Rules and commands for Agentic IDE (Cursor, Claude, Copilot)
Workshop: Rules and commands for Agentic IDE (Cursor, Claude, Copilot)

Learn to create effective rules and commands for modern Agentic IDEs (Cursor, Claude, Copilot) and stop "just prompting" - start systematically managing agents. In two intensive sessions you will learn how to design rules for teams/projects, build a library of commands, configure safe "rails" for agents and get stable results from AI tools in real projects.

Content upgrade: we are adding Agent Skills – the newest and most practical tool for Agentic IDE today. We will build not just prompts, but a Rules + Commands + Skills system that can be scaled to teams and projects.

    In two practical sessions, you will:
  • Understand how an agent IDE thinks:
    • what are the types of prompts and rules (system, project, file-level, codebase rules);
    • how do they affect the quality, cost and stability of the result;
    • what are the typical mistakes when working with rules and commands
  • Learn how to work with rules and commands in different tools, and what are the features for each tool (Cursor, Claude Code, GitHub Copilot).
  • Learn to build a framework of rules for a project:
    • how to get a set of stable rules from requirements (PRD / tasks / user stories);
    • how to formalize what is usually "in the head of the senior";
    • how to use rules to teach the IDE to understand new versions of libraries and frameworks.
  • Learn to solve typical cases and scenarios using rules and commands:
    • scenarios for typical tasks (feature, bug fix, refactoring, performance, security)
    • team templates for different roles: Dev, QA, DevOps, TL.
  • Understand approaches to security and quality:
    • how to reduce hallucinations and "self-activity" of the agent due to rules
    • how to describe license restrictions, quality standards and code style
    • how to embed checks (tests, linters, review rules) into command instructions.
    • Patterns for working with rules (Memory Bank, etc.).
    You will work through a practical agent management cycle:
    set a task → apply rules and command → get code → validate → fix the improved rule.
    Workshop outcome:
  • Practical skills in working with rules and commands in Cursor, Claude, Copilot.
  • Ready-made instruction templates for individual work and for the team (separate roles of Dev, QA, DevOps, tech lead, architect).
  • A framework for building rules for the project - from requirements and constraints to a clear set of instructions for agents.
  • Understanding how to standardize work with AI tools in the team: so that the result is stable, reproducible and transparent in terms of costs.
  • A clear idea of ​​when "manual prompting" is enough and when it is worth moving to a full-fledged system of rules and commands.

Format:

Materials: Video recording of the workshop (5 hours) and a presentation with a selection of materials

Language of the event: Ukrainian

After purchasing a ticket, refresh the page and you will see the video recording and all materials.

Language of the presentation: Ukrainian/English

Who will be interested?

  • Developers of all levels and tech leads/architects, DevOps/SREs who want to stop “inventing prompts from scratch every time” and make interaction with agents predictable.
  • Product/Project Managers, BAs, designers and other non-technical specialists – for prototyping and creating solutions independently without the participation of developers
  • QA/Automation – for describing validation rules, test generation and standardization of quality approaches.
  • Mentors, team leads and Engineering Management specialists who build standards for working with AI tools in teams and companies.

Program

Session 1: Theory of Rules and Commands for Agentic IDE
  • Introduction: how “just prompting” differs from a structured system of rules and commands.
  • Types of instructions in Agentic IDEs:
    • system-level, project-level, and hierarchical rules
    • rules by role (Dev, QA, Reviewer, Architect)
  • Tool overview (Cursor, Claude Code, GitHub Copilot) and their features.
  • How to turn requirements and constraints into rules:
    • business constraints, security, licensing
    • quality standards, architectural principles, code style
  • Common mistakes and anti-patterns:
    • rules that are too long or contradictory
    • rules that are technically infeasible
    • “magical” prompts without clear success criteria
  • Q&A

Session 2: Practice — Building a System of Rules and Commands
  • Preparing your IDE to work with rules:
    • key IDE settings
    • optimal project structure for efficient agent collaboration
  • Practical case study:
    • start with a simple PRD or set of requirements
    • define a rule set (quality, security, style, architecture)
    • create a command/script library for common tasks
  • Working with multiple tools (Cursor, GitHub Copilot, Claude Code) and their specific characteristics.
  • Completing the agent workflow:
    • assigning a task → launching the command → receiving code
    • validating results (tests, reviews, checks)
    • updating rules and commands — how to evolve rule systems
  • Checklist for participants:
    • minimal set of rules for starting a new project
    • structure of internal documentation with team rules
    • how to onboard new developers with the rule system
  • Q&A


The course concept and all course materials are the intellectual property of FVDAYS. Copying of course content and materials is possible only with the consent of FWDAYS.

Mentor: Viacheslav Koldovskyi

— Competence Manager at SoftServe

— 20+ years in IT, certified Google Cloud Professional Cloud Architect, nVidia Generative AI LLMs

— Ph.D / Candidate of Economic Sciences, Associate Professor, Head of the Gen AI Center at IT STEP University

— Founder of YouTube and Telegram channels Programming Mentor

— Active speaker: speaking at iForum, DOU Day, etc.

— Leader of the AI ​​community at DOU, author of publications

— Has implemented projects with Gen AI and AI-generated code, which successfully working in production

— Advises companies on transforming SDLC processes using AI

Event price

Attendee's ticket

Presentation and materials

Access to the video recording of the workshop (5 hours)

Participants receive a 10% discount on participation in Fwdays conferences

3 600 UAH ≈€75
till 1 July
Buy ticket
Group discounts are available for companies 
Напишіть нам на academy@fwdays.com для прорахування вашої знижки.
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