
Describe problems and constraints to generate production-ready automation tools with AI as a coding partner. Learn Vivecoding methods to review, iterate, and ship usable code with modular, maintainable tools.
Discover Vive Coding as a thinking partner and prototyping engine that uses AI to externalize ideas, accelerate exploration, and reshape workflows for creative and technical projects.
Learn how Bive coding integrates ai into the development flow as a collaborative partner. Follow the five stages—describe, generate, review, iterate, deploy—drafting and refining solutions with human judgment.
Partner with AI to generate boilerplate, syntax, and scaffolding while developers define requirements and logic, speeding iteration, enabling review, and sharpening problem solving.
Install Visual Studio Code, accept the license, enable explorer and path options, install key extensions (.NET tool, C Sharp, Cloud Code, Python), and open the byte coding configs.
Vive coding accelerates rapid prototyping across CRUD apps, UI layouts, data processing, and automation, while signaling when traditional coding is needed for performance, security, and complex algorithms.
Avanlip accelerates technology augmentation through rapid prototyping of code, products, and services, focusing on digital twins in the IEC industry to enable sustainable and secure AI for real-world impact.
Install the cloud desktop application and sign in with a pro account to enable the Windows MCP (model context protocol) and file system connectors for Claude Code.
Configure a user preference system within a cloud-backed workflow, enabling file operations, platform-aware MVP and prototype flows, and settings stored in JSON and SQLite across desktop and iOS targets.
Explore multiple vibe coding methods in Cloth, from chat for creative forms to code tab and GitHub for MVP review, branching, and versioning.
Compare desktop vs web apps, detailing offline use, direct hardware access, large-file workflows, and local data control for high-performance tasks, with cloud updates and operating system alignment.
Develop desktop apps with C Sharp, Python, and JavaScript by building a main form that loads large datasets and a sales JSON file, with CSV and Excel export options.
Explore Windows Forms, a .NET event-driven framework for native Windows apps, featuring forms, controls, data grid view, and AI-assisted prompts.
Build a desktop Windows Forms app with AI-assisted prompts and DAG data views. Export to Excel using EPPlus, with clean UI and error handling.
Turn raw data into readable visuals with grids and charts. Bind data from CSV, JSON, or databases, configure columns, apply sorting and formatting, and leverage AI for repeatable visual setups.
Explore easy-to-implement data visualizations in a C# project, including sales time charts, line charts, pie charts, and top charts, with Azure speech and audio transcriber workflows.
Package your app into a distributable exe to reduce friction and build trust. Test the executable on a clean machine to reveal missing .NET runtime and dependencies.
Package and share a .NET audio transcriber as an installer by building and running the app, transcribing a sample M4A, and delivering a repository with a complete document guide.
Identify automation opportunities by evaluating time cost, frequency, and task traits, then build Python-driven workflows using pandas, OpenPyXL, and OS tools to automate data, files, and web service interactions.
Learn how Python automations accelerate proof of concept by building simple workflows, running scripts, and generating reports with Excel, Pandas, and Open XML, tailored for architects and beyond.
Design professional reports balancing speed and depth, using bar, line, and pie charts with formatting that improve readability. Generate standardized AI chart templates to ensure consistency and rapid deployment.
Explore and tailor rulesets and cloud configs with python for prototypes, mvps, and production, document the process, and enable python-based proof-of-concept, web APIs, servers, and dll add-ins.
Set up a Panda3D project in Python to prototype a 3d plane and sphere. Move the sphere with the keyboard and adjust the camera with the mouse.
Learn to push and share code using GitHub, including creating repositories, using the GitHub desktop, and managing branches main and develop with commits, pushes, and collaborative permissions.
Learn how to choose web versus desktop by weighing performance, offline capability, file access, and centralized updates, and how hybrid and progressive web apps bridge these strengths.
Explore a web sample application that visualizes multiple locations using LeapFleet map data and OpenStreetMaps. Learn to run locally, handle cross-origin issues, and size interactive map markers.
Harness 3JS to build a JavaScript web app with 3D geometry, lighting, and simple gravity, adding controls to adjust speed and direction across cubes, spheres, and torus.
Create clear user and developer documentation that explains installation, usage, and component interactions. Leverage AI to generate setup steps, doc strings, and examples, keeping project documentation consistent and up-to-date.
What if you could build software applications by describing what you want instead of fighting syntax errors and brittle code?
That’s Vibe Coding.
This isn’t theory. It’s a practical method for building production-ready automation tools by working with AI as a coding partner. By the end of this course, you’ll have built multiple working applications that solve real workflow problems and can be used immediately in professional environments.
What Is Vibe Coding
Traditional coding means writing every line yourself, searching for errors, and spending hours debugging small mistakes. Vibe Coding changes the workflow. You focus on what needs to be built. AI helps with how to implement it. You describe the problem, define constraints, review the generated code, correct it when needed, iterate, and ship working tools.
It’s pair programming, except your partner understands multiple languages, doesn’t get stuck, and can explain what the code is doing in plain terms. You stay responsible for decisions. AI handles execution.
What You’ll Learn
You start by learning the Vibe Coding method itself: how to communicate intent clearly, how to give context that leads to usable code, when to accept suggestions, and when to push back. The focus is on control, not shortcuts.
You then move into why building your own tools matters: removing repetitive work, creating custom workflows, building personal or team tool libraries, and becoming someone who can turn ideas into working systems instead of waiting on off-the-shelf software.
From there, you build real applications. You’ll learn how to structure modular, reusable code with AI support, how to keep projects readable, how to document decisions, and how to maintain tools so they don’t break the moment requirements change.
Real Projects, Real Outcomes
The projects in this course are not demos. They address real operational problems and result in tools that can be used in production. The examples come from technical and data-heavy workflows, but the patterns apply anywhere automation, internal tooling, or process improvement is needed.
Who This Course Is For
This course is for professionals who want to build their own tools instead of working around limitations. It’s a good fit if you’ve tried traditional coding and found it slow or frustrating, or if you want to move beyond basic scripts and build maintainable applications faster.
Requirements
You should understand basic programming concepts such as variables, functions, and loops. A code editor is required. An AI account is required; Claude Pro is required.
After This Course
You’ll leave with a clear methodology, working applications, and the confidence to approach new automation problems without friction. You won’t rely on guesswork or copy-paste code. You’ll know how to build deliberately.