VCVibeCodedCommunity-Driven AI Builder OS
Menu
Start creating
AI Workflow

Test-Driven AI Development

Use tests before, during, and after AI-assisted coding so generated code is useful, reviewable, and safer to ship.

Test-Driven AI Development only counts when it ends in something you built and can open in a browser.

LearnBuildDeploy

Outcome

Teach developers to pair AI coding with tests and verification.

Ask AI to write tests from acceptance criteria; end with a small live demo, a README, a screenshot, and an explanation in your own words.

  • Ask AI to write tests from acceptance criteria
  • Use failing tests to guide implementation
  • Review tests for real behavior instead of shallow assertions
  • Run type checks, linting, and E2E checks before deployment
Operator Brief

Buyer, user, workflow, and wedge.

Buyer

The first person to judge this is whoever you show it to next — a senior developer, a mentor, a founder, a business owner. They are checking one thing: can you explain what you built?

User

A beginner or working developer who wants study time to turn into something real and inspectable, not another saved tutorial tab.

Current manual workflow

Most people watch videos, copy the code, lose the project, and end up with nothing to show and no bug they can explain fixing.

Wedge

Build the smallest version of test-driven ai development that answers one real question someone would actually ask.

Test-Driven AI Development build order

Step 1

Acceptance criteria

Use Vitest to grasp the idea, build one small feature, run it on your machine, deploy it, then write down what changed and what you still need to check.

Step 2

Unit tests

One deployed page or feature, one README, one set of screenshots, one short write-up. No dashboard sprawl, no half-built extras.

Step 3

Integration tests

Ship a tiny test-driven ai development build with a public link, a GitHub repo, a README, and a 60-second note on how it works.

Step 4

E2E tests

Do not accept AI code you cannot explain line by line. Do not publish secrets, private client data, or payment keys in screenshots or repos. Run the app, check mobile layout, and keep a small bug log before calling it finished.

Step 5

Regression loops

Real, explainable work opens doors — a portfolio piece, an apprenticeship, a remote application, a first chat with a small business — if and when you want them.

Field Notes from Nigeria

Why this works here

The Nigerian builder needs a low-data, mobile-first path from concept to deployed proof, with GitHub, screenshots, a written case study, and one credible money path.

Proof and risk standard

Avoid this

  • Do not accept AI code you cannot explain line by line.
  • Do not publish secrets, private client data, or payment keys in screenshots or repos.
  • Run the app, check mobile layout, and keep a small bug log before calling it finished.
  • Reading tutorials for weeks without shipping a public URL
  • Letting AI generate code you cannot explain, debug, or test
  • Skipping Git, browser devtools, deployment, and written documentation
  • Learning tools without connecting them to a Nigerian business workflow

Proof standard

  • Live URL
  • GitHub repo with README
  • Mobile screenshot
  • Bug or test note
  • Plain-English explanation
  • A deployed mini project
  • A GitHub repository with a clear README

First proof, then where it can lead

First proof to build

Ship a tiny test-driven ai development build with a public link, a GitHub repo, a README, and a 60-second note on how it works.

Where it can lead you

Real, explainable work opens doors — a portfolio piece, an apprenticeship, a remote application, a first chat with a small business — if and when you want them.

Pricing anchor

While you are learning, the proof itself is the value. If you later turn it into client work, a scoped starter build commonly runs ₦150k-₦500k after a proper conversation.

Outreach script

Message to try

I built a small test-driven ai development demo around a Nigerian business workflow. Can I show you the link and ask what would make it genuinely useful to your team?

MVP boundary

One deployed page or feature, one README, one set of screenshots, one short write-up. No dashboard sprawl, no half-built extras.

Workflow to prove

Use Vitest to grasp the idea, build one small feature, run it on your machine, deploy it, then write down what changed and what you still need to check.

Reusable template

01Definition in plain English
02Where it fits in the builder lifecycle
03A Nigerian example workflow
04A small practice task
05A proof artifact to publish

How to measure progress

Deployed projects
Readable commits
Bugs fixed independently
Concepts explained without AI
Portfolio artifacts created

Frequently asked questions

What should I ship first for Test-Driven AI Development?

Ship Ship a tiny test-driven ai development build with a public link, a GitHub repo, a README, and a 60-second note on how it works.. Keep the scope tight, document the assumptions, and connect the result to real, explainable work opens doors — a portfolio piece, an apprenticeship, a remote application, a first chat with a small business — if and when you want them..

What is the biggest risk with Test-Driven AI Development?

Do not accept AI code you cannot explain line by line. The VibeCoded standard is to expose the buyer, workflow, proof, pricing anchor, and review notes before calling the work ready.

Quality Gate

Editorial standard

  • Examples are tied to real Nigerian business workflows
  • The page tells learners exactly what to build next
  • The advice includes testing, deployment, and review
  • The page never pretends AI removes the fundamentals
  • The page targets "test driven AI development" without stuffing the phrase.
  • The operator brief names a buyer: The first person to judge this is whoever you show it to next — a senior developer, a mentor, a founder, a business owner. They are checking one thing: can you explain what you built?
  • The first proof is explicit: Ship a tiny test-driven ai development build with a public link, a GitHub repo, a README, and a 60-second note on how it works.
  • Where the work can lead is stated honestly: Real, explainable work opens doors — a portfolio piece, an apprenticeship, a remote application, a first chat with a small business — if and when you want them.
  • The next action is concrete: Write tests before prompting.
Related Pages

Keep building from here.

AI Workflow

AI-Safe Coding

Use AI to code faster while still protecting security, privacy, correctness, maintainability, and client trust.

LearnBuildDeploy
Open guide AI Workflow

AI Agent Evals

Evaluate AI agents with task suites, expected outputs, regression tests, human review, and production scorecards.

LearnBuildDeploy
Open guide Development

GitHub Guide

Use repositories, issues, pull requests, Actions, and portfolios. Includes workflow, proof, risk, and Nigerian delivery context.

LearnBuildDeploy
Open guide Deployment

How to Deploy a Website

Deploy a website with GitHub, Vercel, domains, environment variables, analytics, forms, and a launch checklist.

DeployGet Clients
Open guide