Lesson 1: Vibe Coding and the New Way Developers Build Software
If an AI can inspect a software project, change its files and test its work, what remains the developer’s responsibility? Open Full Article...
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Vibe Coding and AI-Assisted Software Development explores how modern developers use artificial intelligence to plan, write, review, test and improve software. The course examines the shift from traditional coding and simple autocomplete tools towards AI coding assistants, autonomous agents and agentic development workflows that can inspect projects, modify multiple files, run commands and help complete substantial development tasks.
Learners will discover how to communicate intent clearly, provide useful context, set boundaries and constraints, divide complex work into manageable tasks and verify AI-generated changes. The course also covers prompt and context engineering, repository awareness, debugging, testing, version control, security, code review and the strengths and limitations of current AI development tools.
Rather than treating vibe coding as blindly accepting whatever an AI produces, the course presents it as a professional software development approach in which human judgement remains essential. Learners will understand how AI changes the role of the developer, reducing some manual coding work while increasing the importance of problem definition, architecture, decision-making, verification and quality control.
By the end of the course, learners will have a strong theoretical understanding of AI-assisted software development, how modern coding agents fit into professional workflows, where they can fail, and which traditional programming and software engineering skills remain important for using them effectively.
If an AI can inspect a software project, change its files and test its work, what remains the developer’s responsibility? Open Full Article...
If two coding tools use the same AI model, why can one only answer questions while the other can affect files or use development tools? Open Full Article...
The same AI model can feel very different when it works in a chat window, an editor or a connected project. Open Full Article...
If an AI writes the code, how can anyone know whether it built the right thing? Open Full Article...
Make me a revision app sounds clear until important decisions are left unstated: who will use it, what will they revise, and what counts as success? Open Full Article...
What should an AI do when it does not know enough to make a safe development decision: guess, or investigate? Open Full Article...
An AI may know how to program without knowing how one particular project works. Open Full Article...
Should an AI coding agent receive every instruction you have ever written every time it changes one file? Open Full Article...
Would the slowest, most powerful model improve a simple variable rename? Open Full Article...
An agent needs to change three frontend files, yet it could also reach databases, secrets and the wider internet. Open Full Article...