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Vibe Coding: Fundamentals
From zero to your first AI-built product. Written for founders and builders with no coding background. Learn to turn a vague idea into a clear brief, prompt an AI to build it, judge what it makes, fix what breaks, and ship a real product, all without writing code yourself. Every concept becomes a hands-on lesson inside EasyEnv, where you prompt a live AI and watch your product come to life.
12 leçons4.5h pratique11 langues
Commencez à apprendre gratuitementVibe Coding: Fundamentals cours12 leçons, dans l’ordre
- 115 min
AI Is Not Magic
AI is a capable but fallible assistant, not magicWhat AI is genuinely good atHow and why AI failsVague requests produce vague results - 215 min
Thinking Before Prompting
The quality of an AI result is decided before you type the promptDefine the goal as a real-world outcome, not a featureDefine the audience the thing is forDefine what success looks like in one sentenceDefine the desired output shape the AI should hand backAnswering the four questions turns a weak prompt into a strong one - 320 min
Explaining Your Idea
What a product specification is and why the AI needs oneFeatures: what the product doesUsers: who uses it and what they needWorkflows: the steps a user takes to get valueConstraints: what it must or must not do, budget, platform, staying simple - 415 min
Talking to AI
Building with AI is a conversation, not a single commandFollowing up so the AI builds on its last answer instead of restartingAsking the AI to clarify or narrow a responseGiving specific feedback that steers the next answer - 525 min
Learning What You Don't Know
The workspace: editor, AI builder, and Preview buttonAsking the AI to teach a concept in plain language at your levelSurfacing the questions you did not know to askRequesting an explanation of any word or choice you do not followMaking an informed decision between options the AI lays out - 620 min
Breaking Down Big Problems
MVP thinking, the smallest version worth shippingFeature prioritization, must-have versus nice-to-haveMilestones, checkpoints where you have something workingDependencies, what must be built before whatBreaking a complex app into ordered phases - 725 min
Reviewing AI's Work
Spotting founder-visible mistakesAsking for a specific improvementValidating results against your specReviewing by looking, not by reading code - 830 min
Build Your First Product
Planning with a spec and MVPDesigning by describing look and feelBuilding one piece at a timeTesting against your spec in the PreviewWhat it means to ship a first product - 925 min
Fixing Problems with AI
An error message is information, not failureFinding root causes by describing expected vs actualAsking for a fix and re-checking the previewDescribing specific symptoms instead of saying it is broken - 1025 min
L'ameliorer
A working first version is a starting pointUser experience: clear and pleasant to usePerformance: does it feel fastSimplicity: cut what is not neededPolish: spacing, color, a clear call to actionImproving by describing the desired feel and judging the Preview - 1115 min
AI Workflows
Different categories of AI are good at different jobsHanding output from one tool to the nextCarrying context across tools so nothing is lostArranging steps into a repeatable workflow - 1240 min
Becoming an AI Builder
Running the full method end to end on your ownDefining a goal and writing a spec before buildingPrompting, reviewing, fixing, and improving in a loopShipping a real product and knowing what comes next
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Chaque leçon, quiz et réponse du tuteur s’affiche dans votre langue. Le tuteur IA répond dans la langue que vous utilisez.
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