Vibe Coding in 2026: Beginner Projects You Can Build (and Monetize)

What We Cover

• The lemonade stand problem with vibe coding
• What is vibe coding in 2026?
• Why does vibe coding matter now?
• How does vibe coding actually work?
• SEO calculators and lead magnets you can build
• Build a niche productivity micro-SaaS
• Custom internal tools for local small businesses
• High-converting portfolio and landing pages for clients
• How to turn vibe projects into real income
• What skills do humans still need?
• What can go wrong with vibe coding?
• How to start this week: a simple 7-day plan
• Common Questions

What is vibe coding in 2026?

In plain language, vibe coding is what happens when you stop obsessing over individual lines of code and start telling an AI, “Here’s what I want this thing to do.” Instead of manually wiring every button and database query, you describe the app the way you’d describe a lemonade stand to a friend - who it’s for, what it should look like, how people should pay - and an AI system generates most of the code to make that happen.

From typing code to describing intent

Traditional coding is you at the keyboard writing syntax like if statements and API calls. Classic AI tools, like basic autocomplete, just nudged you along with suggestions. With vibe coding, the center of gravity shifts: you give a detailed, natural-language prompt (“Build a mobile-friendly expense tracker with Google login and a bar chart of monthly spending”), and an AI agent creates files, picks frameworks, installs packages, and wires everything together. Guides like the vibe coding overview from Prismic describe this as moving from writing instructions step by step to doing “programming by intent” - you focus on what should happen, not how every line is written.

Practically, that means your main skills become scoping the problem, choosing constraints (tech stack, performance, security), and then iterating on AI output. You’re still responsible for the taste and safety of the “lemonade,” but the AI is doing most of the mixing and pouring.

Where the term “vibe coding” came from

The phrase itself was coined by AI researcher Andrej Karpathy in early 2025. He used it to describe a style of development where you “forget that the code even exists” and work almost entirely at the level of goals and behaviors. That framing stuck and was quickly picked up in explainers like the vibe coding entry on Wikipedia, which define it as a subset of AI-assisted programming where the model generates the majority of the implementation from your prompts.

“Fully give in to the vibes, embrace exponentials, and forget that the code even exists.” - Andrej Karpathy, AI Researcher, quoted in AOL’s coverage of vibe coding

The important nuance is that vibe coding isn’t just “being lazy” or blindly trusting a chatbot. It’s a deliberate choice to shift your effort from keystrokes to decisions: What should this feature do? How should different parts of the system talk to each other? What tradeoffs am I making between speed, cost, and reliability?

What feels different now

What makes vibe coding feel like a new paradigm in 2026 is how far the tools have come. AI agents can now spin up full repositories, run tests, and even self-correct broken builds multiple times in a row before you ever see an error, as documented in end-to-end guides like ALM Corp’s complete guide to AI-assisted development. Instead of copy-pasting snippets, you’re watching an automated assistant scaffold an entire app, wire a database, and deploy a first draft to the cloud in minutes.

So when people say “vibe coding” today, they’re usually talking about this whole workflow: you set the intent, an AI agent does the heavy lifting, and then you come back in as the human editor, tester, and product owner. Later, when we talk about vibe engineering, we’ll be talking about getting really good at that higher-level layer - choosing the right “corner” for your stand, making sure the structure is safe, and knowing when to say, “No, that’s not the vibe we want at all, try again.”

Why does vibe coding matter now?

Vibe coding matters right now because it quietly changes who gets to put software into the world. A few years ago, “I built an app” usually meant months of grinding through syntax before you had anything usable. Today, people with zero prior coding experience are shipping working products in a weekend simply by describing what they want to an AI - and that’s not an exaggeration, it’s what multiple real-world experiments have shown.

The barrier to shipping software has collapsed

One vivid example comes from a 2-day vibe coding class covered by CNBC, where students with no technical background built usable products solely through prompting. One participant summed up the experience with a line that keeps getting quoted in developer circles:

“As long as you can read, write and follow instructions, you can probably vibe code.” - Petra Evans, quoted in CNBC’s vibe coding class report

Journalists have reported similar experiences: a PCMag writer described her first AI-built website as feeling like hitting a “Staples Easy Button,” and YouTube is full of “5-hour app challenge” videos where non-developers build small reward-based apps via back-and-forth prompting. Together, these stories back up what the CNBC coverage of beginner vibe coders suggests: if you can articulate a problem and iterate on feedback, you can get from idea to live app much faster than traditional tutorials ever allowed.

But we’re in a “post-junior” job market

The flip side is that the industry has noticed. Companies don’t need as many people to wire up basic CRUD forms when AI can do that reliably. Instead, as guides like Zencoder’s software engineering guide to vibe coding point out, teams are hunting for people who can act as AI architects and product thinkers: defining system boundaries, reasoning about performance and security, and translating messy real-world needs into precise prompts. Articles that talk about the “end of the traditional junior role” aren’t saying there’s no room for beginners; they’re saying the entry-level job is changing from “human code generator” to “human decision-maker.”

Why that matters if you’re a beginner or career-switcher

For you, this is both a warning and an opportunity. You no longer have to wait a year to ship something meaningful - vibe tools let you get a first version out in days. But to turn that into a career or side income, you have to lean into the parts AI can’t do well: choosing the right problems, talking to users, setting constraints, and exercising judgment when the AI gives you code that’s fast but wrong. In other words, vibe coding lowers the barrier to filling the “pitcher,” but the people who will actually get paid are the ones who learn where to set up the stand, what to charge, and how to keep improving the recipe.

How does vibe coding actually work?

Under all the buzzwords, vibe coding is just a different way of moving from “idea in your head” to “app in a browser.” Instead of starting with files, frameworks, and boilerplate, you start by writing down what you want the software to do in plain language. An AI system then turns that description into a first working version of your app, and you come back in to test, adjust, and steer it.

A linear, prompt-first workflow

The basic workflow is surprisingly straightforward once you see it end to end. You describe what you want; the AI builds a draft; you poke at it and tell the AI what to fix. That loop usually looks like this:

1. Describe the app in a natural-language prompt: who it’s for, what screens it needs, what actions users should be able to take, and any constraints (for example, “keep it mobile-friendly” or “use a lightweight database”).
2. Let the AI scaffold the project: it creates folders and files, picks a tech stack, installs dependencies, and wires up a first version of the front end and back end.
3. Run and inspect the app: click through it like a real user, note bugs, confusing flows, or missing features.
4. Feed your observations back into the AI: paste error messages, point out UX issues, and refine the prompt until the app behaves the way you expect.

What the AI actually does under the hood

Modern tools handle much more than code snippets. Platforms like Replit’s AI Agents, documented in their vibe coding 101 tutorial, can spin up full-stack projects in the browser, install npm or pip packages, configure basic routing, and even deploy to hosting with a click. Other environments follow a similar pattern: an agentic execution loop where the AI plans a series of actions (create files, edit code, run tests), executes them, and then inspects the results before deciding what to do next. Instead of you manually typing every command, you’re supervising an automated assistant that knows how to set up and rearrange the “plumbing” of a modern web app.

Your role: test, tweak, and tighten the brief

Once that first draft is running, your work shifts from typing code to tightening the brief and improving the behavior. A common pattern, described in engineering-oriented write-ups like Victor Dibia’s “Vibe Coding… With Engineering Discipline”, mirrors test-driven development: get something on screen, deliberately break or stress it, then ask the AI to fix specific issues without undoing what already works. You’re still responsible for catching edge cases, clarifying requirements, and deciding when “good enough” is actually good enough. The AI can move fast, but it doesn’t know your users or your business goals unless you keep feeding that context back into the loop.

SEO calculators and lead magnets you can build

SEO calculators are one of the easiest places to see vibe coding turn into something a business will actually pay for. Think of a simple web tool where a visitor types in their current traffic, conversion rate, and target keywords, and it spits out an estimate of how much extra traffic and revenue they could gain with better rankings. Agencies use that as a lead magnet: you want the detailed report, you drop your email. In practice, these calculators are just small web apps, and non-developers are already building similar tools through AI-assisted workflows, as shown in roundups like Zapier’s vibe coding examples from non-developers.

Scoping a beginner-friendly SEO calculator

For a first project, you can keep your SEO calculator tight and focused. A realistic v1 might accept a handful of inputs (current monthly traffic, average order value, conversion rate, number of target keywords) and output estimated additional traffic, revenue, and ROI. On top of that, you add a basic landing page, an email capture form that pushes signups into Google Sheets or an email tool, and a results page with clear numbers or a simple chart. Tools like Lovable or Replit are ideal here because they can generate a front end plus a tiny backend and wire them together in one shot, an approach that overviews like Digital4Design’s guide to vibe coding in 2026 call out as especially powerful for small, personalized apps.

Build effort: a realistic weekend project

In terms of effort, you’re not looking at a month-long grind. A typical breakdown for a beginner using vibe tools looks like this: 1-2 hours to write a solid prompt and let the AI produce the first working version, another 3-5 hours to chase down obvious bugs and polish the layout, and then 2-3 hours to connect email capture, test different scenarios, and tweak the copy. Call it a focused weekend. That’s the big shift: instead of spending weeks just to get a form talking to a database, most of your time goes into clarifying the logic and making sure the numbers and language feel right to real marketing clients.

How agencies actually pay for these

Once you have one of these calculators working, there are three main ways people turn them into income. First, you can offer done-for-you builds for agencies, pitching a “Custom ROI/SEO calculator + integration with your CRM” for around $300-$800 per project. Second, you can sell a white-label template on marketplaces (Gumroad, Lemon Squeezy, etc.) in the $39-$99 range, where buyers swap in their logo and copy. Third, you can use the calculator as your own lead magnet to sell SEO or analytics consulting. Freelance marketplaces consistently show demand for this kind of bite-sized build; for example, Upwork’s overview of programming side hustles highlights small web tools and calculators as a viable way to productize your skills for business clients.

Build a niche productivity micro-SaaS

When people talk about “micro-SaaS” in this new AI era, they’re really talking about tiny, focused tools that solve one specific workflow headache well enough that a small group of people will happily pay a monthly fee. Instead of a giant all-in-one platform, think “TikTok content calendar for solo creators” or “client prep checklist app for freelance designers.” Vibe coding makes these kinds of products feasible for a single person, because you can describe the workflow in plain language and let an AI handle the heavy lifting, a pattern guides like Synergy Labs’ 2026 vibe coding guide point to as a sweet spot for personalized software.

Pick a narrow audience and one recurring task

The trick is to avoid “productivity app for everyone” and go after a very specific corner. For example, a first version of a TikTok content planner might include a calendar view, a list of upcoming video ideas with fields for topic, hook, target post date, status (idea/drafted/filmed/posted), and a simple place to enter views and likes after posting. Or maybe you build a “client handoff checklist” for wedding photographers, or a mini-CRM for local tutors. In each case, you’re mapping one repeatable process into screens and fields, not trying to replace Notion or Asana on day one.

Let AI scaffold the app, then you polish the workflow

With that workflow described, you drop a detailed prompt into a vibe-friendly environment and let the agent scaffold a full-stack app. A realistic build for a beginner might look like this: 2-3 hours for the AI to generate the first working version, another 4-6 hours across a few evenings to fix obvious bugs and smooth out the UX, and then 3-4 hours to wire up authentication, connect Stripe or Paddle, and deploy. In total, you’re looking at about 1-2 focused weeks of evenings to get a usable v1 live. Tools highlighted in roundups like Emergent’s best vibe coding tools for 2026 are designed exactly for this pattern: fast scaffolding, then human-guided refinement.

Price and grow it like a real product

Once it works end to end, the next step is to treat it less like a weekend experiment and more like a tiny business. For early pricing, builders commonly charge in the $5-$15 per month range, and a solid first goal is simply finding 10-20 paying users. That’s enough to prove people care and to give you real-world feedback. You can get those first customers by posting in niche subreddits or Discords, DMing potential users and offering a free account in exchange for feedback, and putting up a simple landing page that explains the problem you solve in plain language. As one analysis on Inc.com’s coverage of vibe coding put it:

“Vibe coding is the future of programming.” - Inc.com

Custom internal tools for local small businesses

Custom internal tools are where vibe coding starts to feel less like a toy and more like a practical side business. Think about all the local shops and solo practitioners you know who run half their world in spreadsheets or on paper: a pet store checking stock with a clipboard, a therapist juggling intake forms in email, a cleaning service tracking jobs in a shared note. These are exactly the kinds of “previously uneconomical” projects that become viable when AI can generate most of the plumbing for you, and they show up prominently in money-focused roundups like Questera’s list of vibe coding projects that make you real money.

Why internal tools are such a good starting point

For a beginner, internal tools have three big advantages. First, the users are easy to reach: you’re often building for a single owner or a tiny team you can literally sit down with. Second, the design and branding bar is lower than for public-facing apps; a clear, slightly ugly dashboard that actually solves a daily pain beats a gorgeous site that doesn’t quite fit their workflow. Third, the value is concrete. If your app means the owner stops running out of best-sellers or spends an extra hour a week on billable work instead of admin, it’s very straightforward to justify a few hundred dollars for the build.

“Top 10 Vibe Coding Projects That Make You Real Money.” - Questera, Top 10 Vibe Coding Projects That Make You Real Money

Scoping and building a first internal tool

A classic starter example is an inventory tracker for a local pet store. The v1 feature set is simple: a password-protected login for the owner, a table of products with name, category, supplier, current stock, and reorder threshold, plus a small dashboard that lists items below the threshold and a button to export everything to CSV. Using a vibe tool, you might spend 3-5 hours getting the first version generated and running, another 1-2 hours sitting with the owner to watch how they use it, and 3-4 hours tightening the flow based on their feedback. Guides like ALM Corp’s complete guide to AI-assisted development emphasize that this kind of tight loop - AI scaffolds, human observes, AI refines - is where internal tools shine.

Pricing and long-term relationships

On the money side, a reasonable range for a custom internal tool is $300-$1,000, depending on complexity and how much process mapping you do with the owner. Because these tools become part of how the business runs, they naturally lend themselves to a maintenance relationship: a simple $50-$100 per month retainer to cover backups, minor tweaks, and the occasional new feature. That ongoing support isn’t just recurring income; it also keeps you close to real-world problems, which means your next project idea often comes straight from a client saying, “You know what else would really help us?”

High-converting portfolio and landing pages for clients

For a lot of freelancers and small businesses, “software” doesn’t mean a complex dashboard - it means a single page that makes strangers trust them enough to book a call or send money. That’s why high-converting portfolio sites and landing pages are such a good first service to sell with vibe coding: the scope is small, the impact is big, and clients can literally see the value the moment their new page goes live.

What you actually build for clients

A typical package is a one-page site for a designer, coach, photographer, or local professional. The ingredients are simple: a hero section with a clear headline and call-to-action, a services or “what I do” section, a small portfolio grid or gallery, 2-3 testimonials, and a contact form or booking link. With vibe tools, you describe this structure in a prompt, mention the client’s vibe (“bold and colorful for a tattoo artist,” “calm and spacious for a therapist”), and let the AI generate a modern, responsive layout that you then tweak with the client on a live call.

Why vibe tools are a cheat code for UI

Design-focused reviews have been quick to point out how well AI handles this type of work. A roundup on Toools.design notes that modern vibe tools can generate React/Tailwind components and full-page layouts that “designers will love,” precisely because they turn mood and brand direction into code in minutes. Their piece on the top 10 vibe coding tools designers will love highlights how UI-first generators let non-developers “prototype interfaces in minutes” instead of wrestling with boilerplate CSS. Your job becomes translating the client’s story into a strong brief, then cleaning up copy, spacing, and flow so it feels like them, not like a generic template.

“Top 10 Vibe Coding Tools Designers Will Love in 2025.” - Toools.design

Packaging the work so it sells easily

Where this really turns into income is how you package it. Instead of hourly billing, many solo builders offer a fixed “live build” package: a 60-90 minute call where you co-create the page using vibe tools, followed by a day or two of polish and deployment. Others sell more premium portfolio builds with extra sections and copywriting, or reuse their best layouts as templates they can customize quickly. Pricing in the $300-$800 range for a complete landing page is common for new freelancers, and because AI speeds up the build, your effective hourly rate is much higher than it looks on paper. Tool comparisons like Designveloper’s guide to vibe coding tools for 2026 underline this leverage: when scaffolding a site takes minutes, most of your value is in understanding conversion, messaging, and the client’s audience.

Because these projects are highly visible and low-risk, they’re a strong way to build your own portfolio too. Every time you launch a new page and a client gets more inquiries or bookings, you’ve got another concrete story to tell - and another example that shows you’re not just filling the “pitcher” with code, you’re putting the stand where people actually stop and buy.

How to turn vibe projects into real income

Turning a vibe-coded project into actual income is less about squeezing more features out of the AI and more about making a few smart, very human decisions: who you’re building for, how you prove it helps them, and how you charge. The codebase is the easy-to-refill pitcher; the business is everything around it. That’s why two people can build similar tools with the same AI and get wildly different outcomes - one has a fun side project, the other has something that reliably pays a bill.

The first lever is where you apply your effort. You want audiences that already spend money on software or services, have a recurring headache, and hang out in places you can reach (subreddits, Discords, local meetups). Analyses like Codelevate’s overview of vibe coding trends taking over dev culture stress that the big opportunity isn’t random consumer apps - it’s small, personalized tools for specific roles and industries that used to be too niche to justify custom software. Your job is to pick one of those corners and commit to understanding it better than a generic AI prompt ever could.

“Vibe coding has matured from a 2025 viral trend into a standard development paradigm.” - Codelevate, Vibe Coding Trends Taking Over Dev Culture in 2025

From there, the unglamorous but crucial move is talking to real people before you overbuild. Message 5-10 potential users and ask what the most annoying part of their workflow is, what they’ve already tried, and whether your idea would be something they’d actually use every week. Those conversations feed directly back into your prompts and feature list. When it comes to money, keep pricing dead simple at the start: a one-time project fee for custom builds, a single subscription tier for a micro-SaaS, or a flat price for templates. Complexity can come later; early on, clarity closes deals.

The last piece is making your wins visible. Instead of leading with “I used AI to build this,” lead with links and outcomes: a live calculator a client uses to pitch leads, a micro-SaaS with screenshots of paying users, a landing page that doubled someone’s inquiries. Share those on your own site, LinkedIn, and in the same communities where your customers hang out. Over time, that portfolio becomes the proof that you’re not just experimenting with vibe tools - you’re someone who knows how to turn fast-moving code into results.

What skills do humans still need?

Even with AI pouring most of the “lemonade” for you, the part that actually gets you hired or paid is still very human: understanding what you’re building, spotting when something is off, and turning a working prototype into something people trust. Vibe tools remove a lot of typing, but they don’t remove the need for judgment, mental models, or basic engineering habits. In fact, concerns about “the new worst coder” aren’t about people using AI at all - they’re about people shipping apps they don’t understand well enough to keep users’ data safe or debug when things break.

Technical foundations still matter

You don’t need to memorize every JavaScript method, but you do need a rough map of how the web works: front end vs back end, what an API is, how a database stores data, and why deployment and logging matter. Without that, AI output is just a wall of text you hope is right. That’s why structured courses still teach core topics like Python, SQL, and cloud deployment - Nucamp’s Back End, SQL and DevOps with Python, for example, spends 16 weeks building those muscles at a tuition of $2,124. When you understand the basics, you can read what the AI generated, recognize risky patterns, and make intentional tradeoffs instead of blindly accepting whatever comes back from a prompt.

Working with AI, not under it

The second cluster of skills is about collaborating with AI instead of treating it like a magic vending machine. That starts with prompt engineering: giving clear requirements, constraints, and examples so the model has enough context to do useful work. It also includes being able to run and interpret tests, paste in error messages, and ask for targeted fixes instead of “rewrite everything.” As AI agents get more capable, orchestrating them - deciding which tasks to automate, when to stay in the loop, and when to slow down for a manual review - becomes its own kind of engineering. You’re effectively the editor-in-chief of a very fast but sometimes careless junior developer.

Product, people, and career skills

The last piece is what turns vibe coding from a hobby into a paycheck: product thinking, communication, and basic business sense. You need to be able to pick a niche with real pain points, talk to users, prioritize features, and choose simple pricing and delivery models. This is where structured programs can shorten the learning curve. Nucamp leans into this with AI-focused tracks like Nucamp’s Solo AI Tech Entrepreneur bootcamp, a 25 weeks program at the higher end of their $2,124-$3,980 tuition range that combines LLM integration, AI agents, and SaaS monetization. For professionals who just want to bring AI into their current jobs, AI Essentials for Work runs 15 weeks at $3,582 and focuses on practical prompting and AI-assisted productivity, while still assuming you’ll be the one making final calls.

Because Nucamp operates online with community-based learning in 200+ US cities, it’s designed around people who are working or switching careers rather than living in a classroom full time. Their broader catalog - from Web Development Fundamentals to the Complete Software Engineering Path - sits on the same foundation: affordable tuition compared to many $10,000+ bootcamps, monthly payment options, and career services like 1:1 coaching and portfolio support. Outcomes data shows a 78% employment rate, about a 75% graduation rate, and a Trustpilot rating of 4.5/5 from roughly 398 reviews, with around 80% of those being five stars. As one student put it:

“It offered affordability, a structured learning path, and a supportive community of fellow learners.” - Nucamp student review on Trustpilot

What can go wrong with vibe coding?

The same AI that can spin up a dashboard in minutes can also generate something that looks polished and still be dangerously wrong underneath. Engineers have started calling this “plausible garbage”: code or configurations that compile and even pass a quick click-through, but hide subtle security holes, data-loss bugs, or performance issues. The risk with vibe coding isn’t just that the AI might make mistakes; it’s that the mistakes are wrapped in confident answers and neatly formatted code, so beginners feel safe shipping things they don’t fully understand.

“AI can generate ‘plausible garbage’ - outputs that look correct on the surface but hide subtle errors and vulnerabilities.” - Synergy Labs team, Vibe Coding Guide

Another failure mode shows up when projects move from “Day 0” prototypes to “Day 1” production. Year-in-review pieces like A Year in Review: From Vibe Coding to Viable Code point out that agents excel at quickly wiring together MVPs, but things often fall apart when real users, real data, and real traffic arrive. Without deliberate choices about database backups, access controls, error handling, and rollbacks, a tiny misprompt or auto-fix can cascade into corrupted records or outages that are hard to diagnose because you didn’t write most of the code yourself.

There’s also a deeper, architectural kind of risk: systems that “work” in the narrow scenario you tested, but collapse under complexity because no one ever stopped to design clear boundaries. In a blunt post titled The Collapse of Vibe Coding, SoftwareCo argues that purely vibe-driven projects tend to accumulate hidden coupling and technical debt until “the smallest change breaks three other things.” When an AI is constantly patching its own output without tests or human review, you can end up with a codebase that’s impossible to reason about, even for experienced developers.

The common thread is that vibe coding removes friction from building, not from taking responsibility. Version control, automated tests around anything involving logins or payments, separate staging and production setups, and the habit of sanity-checking AI output are no longer “nice-to-haves”; they’re the price of entry. Used with those guardrails, vibe tools are an incredible accelerator. Used without them, they can quietly bake serious problems into your projects long before anyone notices something is off.

How to start this week: a simple 7-day plan

Getting started with vibe coding doesn’t require a grand “startup idea.” You just need one tiny, real problem and a week where you’re willing to ship something imperfect. The goal isn’t to build The Next Big App; it’s to move from “this sounds cool” to “I have a live link and at least one person who’s tried it.” That’s how you avoid the lemonade-stand trap of a full pitcher and no customers.

Set a tiny, money-adjacent goal

Before you touch any tools, decide on a small win you can reach in seven days: a working calculator, a simple internal tool for a friend’s shop, or a bare-bones landing page you could, in theory, charge for. Guides like Codingscape’s overview of AI tools for rapid prototyping with vibe coding emphasize this kind of tight scope: pick something that solves one concrete task and can be tested quickly, rather than a sprawling app you’ll abandon halfway through.

“The best first vibe coding project is one you can finish in a week and show to another human.” - Vamo team, Beginner Guide to Vibe Coding 2026

Your 7-day checklist

Once you’ve picked that small target, you can treat the week like a simple checklist rather than an overwhelming “learn to code” sprint.

1. Day 1 - Pick your corner: Choose one problem for a specific group (for example, “track client sessions for one local therapist,” not “fix mental health”). Write a one-paragraph description of who it’s for and what it does.
2. Day 2 - Talk to 2-3 real people: DM or call a few folks in that group. Ask what’s most annoying about their current process and what a “good enough” fix would look like.
3. Day 3 - Set up your tool: Create an account on a vibe-friendly platform and walk through a basic tutorial so you know how to run, edit, and redeploy an app.
4. Day 4 - Prompt and scaffold: Turn your paragraph into a detailed prompt and let the AI generate a first version. Don’t chase perfection; just get something you can click through.
5. Day 5 - Test and refine: Use the app like a real user, note every bug or confusing step, and feed those back into the AI with specific “fix this” prompts.
6. Day 6 - Deploy and invite feedback: Put it live, even on a basic URL, and send it to the people you spoke with on Day 2. Ask for blunt, 5-minute reactions.
7. Day 7 - Try to earn $1: Offer a small customization for a symbolic fee, or ask, “If I cleaned this up and supported it, what would you pay?” The point is to practice attaching money to your work, not to get rich this week.

After day 7: decide what to double down on

By the end of this week, you should have three valuable things: a live link, a clearer sense of your users’ real problems, and at least one conversation about money, however small. That’s a much better starting point than another half-finished tutorial. From here, you can either deepen this project or treat it as a warm-up and try another idea with a tighter niche or clearer pain. As the Vamo team’s beginner guide to vibe coding puts it, the key is short, complete loops: ship, learn, adjust. In a world where AI can refill your “pitcher” instantly, the real advantage goes to the people who move before the ice melts - getting something out, in front of real humans, this week instead of “someday.”

Common Questions