Start vibe coding without getting lost

The Vibe Coding to Income curriculum

One practical journey. Three levels. Evidence at every step.

Start with a focused first slice, strengthen it into a dependable pilot, then make a responsible launch and operating decision. Each lesson builds an artifact used by the next lesson; all three summary questions must be answered correctly before progress continues.

Level 1 · Foundation

Beginner

Build a safe, tested first slice from a real user problem.

Result: A focused project brief, a working first slice, and evidence that the slice solves the chosen user task safely.

View Level 1
Level 2 · Builder

Intermediate

Turn the first slice into a dependable pilot that can survive change.

Result: A pilot build with error handling, manual and automated test evidence, a reviewable change history, restore proof, and security/privacy boundaries.

View Level 2
Level 3 · Professional Practice

Advanced

Make a responsible launch, operating, and commercial decision.

Result: An accessible release plus launch, monitoring, maintenance, support, offer, scope, readiness, and professional-escalation evidence ending in a go, change, or stop decision.

View Level 3

Results-oriented core curriculum

Take one small project from evidence to a responsible launch

Each of the 15 modules produces a concrete artifact that becomes an input to the next module. You will finish with a traceable capstone packet: validation, requirements, build evidence, accessibility, security, testing, costs, deployment, pricing, support, and launch decisions.

Recommended path: follow the modules in order and use the same project throughout. Every lesson remains open for reference, but entering later modules without the earlier artifact may leave important decisions unsupported.

0 of 15 core modules complete (0%)

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Continue: What Is Vibe Coding? A Responsible Builder’s Starting Point

  1. Foundation · Module 1 of 15 · Not completed

    What Is Vibe Coding? A Responsible Builder’s Starting Point

    Choose one small course project and use the describe, build, inspect, test, and refine loop responsibly.

    Produces: A one-sentence project outcome, intended user, important constraint, and failure case.

  2. Foundation · Module 2 of 15 · Not completed

    Vibe Coding Is Not Magic: Set the Human Review Boundary

    Identify where AI can fail and write the human-review rules for your course project.

    Produces: A four-item human-review boundary covering facts, requirements, risks, and tests.

  3. Evidence · Module 3 of 15 · Not completed

    Research with AI Agents: Find, Compare, and Cite Evidence

    Create a traceable evidence memo by comparing sources, preserving citations, and exposing uncertainty.

    Produces: A one-page evidence memo with three claims, source links, confidence, and next verification actions.

  4. Evidence · Module 4 of 15 · Not completed

    Validate the Problem and Offer Before You Build

    Test a specific problem and offer with behavioral evidence before committing to development.

    Produces: A validation record containing five interviews or observations, one honest offer test, a threshold, and a continue/change/stop decision.

  5. Plan · Module 5 of 15 · Not completed

    Choose Cloud, Local, or Hybrid AI for the Validated Job

    Select an AI approach based on sensitivity, hardware, setup, cost, and the quality the validated job requires.

    Produces: A model-choice decision table with requirements, tradeoffs, test result, and fallback.

  6. Plan · Module 6 of 15 · Not completed

    Turn the Validated Idea into a One-Page Build Brief

    Convert the validated job into a stable brief covering the user, rules, risks, tests, and smallest acceptable result.

    Produces: A completed one-page build brief for the course project.

  7. Plan · Module 7 of 15 · Not completed

    Convert the Brief into a Testable Build Prompt

    Turn the one-page brief into a compact specification with explicit behavior, evidence, and boundaries.

    Produces: A reusable nine-part prompt plus acceptance-test list.

  8. Build · Module 8 of 15 · Not completed

    Build and Verify the First Useful Slice

    Use the brief and prompt to build one narrow working slice, test it, and save a recoverable version.

    Produces: A working thin slice with a version label, test record, known-limit note, and screenshot or demonstration.

  9. Build · Module 9 of 15 · Not completed

    Build Accessibility into the Working Slice

    Make the working slice usable with keyboard, screen reader, zoom, reflow, labels, errors, and non-color cues.

    Produces: An accessibility test record with failures found, changes made, remaining limits, and retest evidence.

  10. Build · Module 10 of 15 · Not completed

    Apply Security and Privacy Boundaries

    Reduce exposure through secret handling, least privilege, data minimization, backups, updates, and recovery.

    Produces: A security and privacy boundary sheet with data inventory, permissions, secrets, retention, backup, and update owners.

  11. Verify · Module 11 of 15 · Not completed

    Test, Debug, and Prove the Important Journeys

    Reproduce failures, isolate changes, rerun critical journeys, and preserve regression evidence.

    Produces: A test matrix plus one complete bug record from reproduction through verified regression testing.

  12. Operate · Module 12 of 15 · Not completed

    Calculate the Full Cost of Delivering the Result

    Estimate setup, recurring, usage, maintenance, support, failure, and owner-time costs before committing to delivery.

    Produces: A low, base, and high monthly cost worksheet with assumptions and review dates.

  13. Operate · Module 13 of 15 · Not completed

    Prepare a Reliable Deployment and Recovery Path

    Release through staging, version control, backup, monitoring, documentation, and a tested rollback path.

    Produces: A release packet containing version, staging results, backup evidence, monitoring checks, owner, and rollback steps.

  14. Business · Module 14 of 15 · Not completed

    Set a Testable Price and Paid-Pilot Boundary

    Set a price using complete costs, defined scope, willingness-to-pay evidence, and a tightly bounded paid pilot.

    Produces: A pricing decision record with unit, scope, floor, scenarios, pilot price, evidence threshold, and revision rule.

  15. Launch · Module 15 of 15 · Not completed

    Launch Responsibly and Present the Course Capstone

    Launch a bounded offer with safe payment, delivery, support, honest claims, measurable stop rules, and a complete evidence packet.

    Produces: A capstone launch packet and a documented continue, change, or stop decision.

Choose the path that fits today

You do not need to learn everything before building something useful. Start with one path, finish a small outcome, then return for the next layer.

Want the structured path? The 15-module core curriculum guides you from the fundamentals to a responsible launch. Free members can also use 42 short practice lessons, earn accessible progress badges, and resume on any signed-in device.

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What vibe coding is—and what it is not

Vibe coding uses ordinary language to direct an AI system that drafts and revises software. It can help a beginner get started, explain unfamiliar pieces, and accelerate repetitive work. It is not magic, automatic correctness, automatic security, or a replacement for testing and judgment.

What a beginner can realistically build

Personal convenience

A priority sorter, household expense logger, reminder checklist, or accessible reading helper.

Workplace productivity

A request organizer, document checklist, status summary, or repetitive data-cleaning helper—using approved information only.

Service business

A focused intake form, estimate helper, follow-up tracker, or resource portal that keeps a person in control.

Small product

A narrowly defined calculator, checklist, reporting helper, or micro-SaaS pilot for one reachable audience.

Choose cloud, local, or hybrid

Cloud AI is often easier to begin with but may involve subscriptions, usage charges, internet dependence, and provider data rules. Local AI can offer more control and some offline use, but it requires compatible hardware, storage, setup, and maintenance. A hybrid approach uses each where its tradeoffs fit.

First-project readiness checklist

  • The problem is specific and familiar.
  • The first version has one primary user and one observable result.
  • No sensitive data is required for the first test.
  • You know the likely hardware, subscription, API, hosting, and maintenance costs.
  • You can test keyboard access, screen-reader labels, errors, privacy, and recovery.
  • You have a backup or saved working version before major changes.

A 30-minute starter exercise

  1. Choose a priority to-do sorter, expense logger, or client-intake organizer.
  2. Write the user, desired result, three inputs, one rule, one failure case, and a definition of done.
  3. Ask the AI for one thin version with visible labels and keyboard access.
  4. Test a normal entry, an empty entry, a long entry, keyboard-only use, and refresh.
  5. Save the working version and write down the next smallest improvement.

Where to go next

Continue with the free guide library, estimate your setup on Tools and Costs, or join the free Mastermind to save course progress.