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Vibe Coding

About

  • Level: Beginner to Intermediate
  • Lectures: 20 hours
  • Self-study: 10 hours
  • Exercises: 5
  • Lines of Code to write: varies
  • Format: e-learning + weekly online teleconference with instructor
  • Language: English or Polish

Description

This practical course introduces "Vibe Coding": techniques and tooling to achieve and sustain a productive flow state while programming. Following the syllabus, students configure minimalist IDE setups and AI plugins, practice structuring code into composable blocks, apply design patterns and refactoring as harmonizing activities, and adopt teamwork patterns like pair programming and code review. The course culminates in a collaborative project where participants experiment with different styles and measure the impact of AI-assisted coding on quality and delivery speed.

Advantages

Participants will learn to reduce context switching and maintain deeper focus, which increases productivity and reduces bugs. They will adopt practical habits for integrating AI safely, minimizing repetitive work, and improving code organization and readability. The course also teaches collaboration and review practices that speed up onboarding, raise code quality across teams, and help each developer establish a personalized, repeatable "vibe" workflow.

Target Audience

  • Developers who want to improve focus, flow, and productivity using practical IDE and workflow techniques.
  • Engineers and teams adopting AI-assisted coding tools who need safe and repeatable integration patterns.
  • Developers interested in refactoring, code organization, and design practices that support long periods of concentrated work.
  • Team leads and engineering managers who want to improve team collaboration, code review practices, and onboarding speed.
  • Educators and workshop facilitators looking for structured exercises to teach flow-state programming and AI-assisted development.
  • Advanced students and practitioners experimenting with AI impact on developer velocity and code quality.

Format

The course is delivered as a blended learning experience, comprising numerous short videos that progressively introduce concepts and techniques through a series of practical examples. The course format combines e-learning modules with weekly online teleconferences with the instructor for Q&A, discussions, and code reviews.

During the self-study phase, students complete practical exercises that apply the learned techniques. Each exercise is designed to have 100% test coverage, allowing students to verify their solutions. Additionally, students will have access to a spreadsheet to track their progress.

Students will also receive downloadable resources, including code samples, exercise templates, and reference materials to support their learning journey. Since 2015, we have refined our materials based on student feedback to ensure clarity, engagement, and practical relevance. All code listings undergo automatic testing (over 28,000 tests) to ensure accuracy and reliability. All materials, code listings, exercises, and assignments are handcrafted by our trainers without the use of AI. All case studies and examples are based on real-world scenarios drawn from our extensive experience in software engineering.

Working language of the course is either English or Polish.

Course Outline

  1. Introduction to the concept of Vibe Coding:

    • Theory of flow state in programming

  2. Preparing the environment for Vibe Coding:

    • IDE configuration supporting focus and minimalism
    • Configuration of AI plugins for code generation

  3. Flow state:

    • Practices for smoothly switching between tasks
    • Structuring code into blocks
    • Code formatting and organization
    • Using design patterns in the context of code harmony
    • Refactoring as a process of composition and harmonization
    • Application architecture

  4. Teamwork:

    • Synchronizing team work
    • Pair programming
    • Code review

  5. Practical project:

    • Collaborative creation of an application using the learned techniques
    • Experimenting with different styles
    • Evaluating the impact of AI-generated code on code quality and development speed
    • Retrospective and tuning your own Vibe Coding style

Our Experience

AATC trainers have been teaching software engineering since 2015. We have already delivered over 11,000 (eleven thousand) hours of software engineering training to more than 32,000 (thirty-two thousand) students worldwide.

Requirements

  • Basic knowledge of Python programming
  • Familiarity with using an IDE (e.g., PyCharm, VSCode)
  • Familiarity with using version control systems (e.g., Git)
  • Basic understanding of AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT)

Setup

  • Newest version of Python
  • IDE of your choice (e.g., PyCharm, VSCode)
  • Git installed and configured
  • GitHub account
  • Web browser (e.g., Chrome, Firefox, Safari, etc.)

Apply

If you are interested in taking this course, please contact us at info@astronaut.center