Vibe Coding Developer

Course overview

A Vibe Coding Developer develops software by formulating requirements in natural language and allowing AI models to generate the corresponding code. This training provides insights into how executable applications emerge from descriptions and how the results can be reliably further developed. The focus is on the complete journey from idea to functioning application without traditional line-by-line programming. Developing Applications from Language The core of Vibe Coding is the structured dialogue between humans and AI models. - Translate requirements into clear, actionable descriptions - Conduct iterative dialogues with AI models for code generation - Structure generated code and categorize it into projects - Evaluate interim results and adjust the dialogue purposefully - Maintain context consistently across multiple dialogue steps Mastering Tools and Work Environment - Productively use AI-supported development environments and editors - Keep an eye on project structure, dependencies, and configuration - Set up execution environments for generated applications - Integrate version control with Git into the dialogue-based process Ensuring Quality and Control Generated code must be reviewed before it goes live. - Derive and automate test cases for AI-generated functions - Systematically identify sources of errors and security vulnerabilities - Document and maintain version states in a traceable manner - Keep track of dependencies between generated modules Structurally Further Developing Applications - Expand existing applications with new functions based on dialogue - Refactor generated code without changing functionality - Implement changes in small, traceable steps - Reproduce malfunctions and address them purposefully in dialogue Shaping Collaboration in Projects Vibe Coding also changes how teams discuss code. - Document results in a way that is understandable for colleagues - Clarify the distribution of roles between humans and AI models in the project - Incorporate feedback from reviews into new dialogue steps - Recognize the limits of the dialogue-based approach in the project context Observing Legal and Organizational Frameworks - Classify copyright and licensing issues related to generated code - Regulate the handling of confidential code and business logic in AI dialogues - Consider internal company guidelines for AI use in development - Fulfill documentation obligations for generated application parts This training conveys how applications are created based on dialogue while remaining technically robust.

Upcoming dates

• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-11-17T23:00:00.000Z · 2027-01-19T23:00:00.000Z · Virtuelles Klassenzimmer