Vibecoding for Project Managers: 6 Vibecoded Project Examples by Real PMs
Vibecoding: PMs are using natural language prompts in AI tools to build bespoke software solutions.
Niche Solutions: Vibecoding enables creation of specialized tools for specific industry problems standard software misses.
Efficiency: AI-built applications drastically reduce time and resources compared to traditional software development.
Commercial Potential: Vibecoding is expanding beyond internal tools to include market-ready products for paying customers.
Testing Importance: Testing new features thoroughly before production is crucial to maintain application functionality.
Vibecoding: PMs are using natural language prompts in AI tools to build bespoke software solutions.
Niche Solutions: Vibecoding enables creation of specialized tools for specific industry problems standard software misses.
Efficiency: AI-built applications drastically reduce time and resources compared to traditional software development.
Commercial Potential: Vibecoding is expanding beyond internal tools to include market-ready products for paying customers.
Testing Importance: Testing new features thoroughly before production is crucial to maintain application functionality.
Project managers spend their careers mapping workflows, identifying gaps, and translating messy reality into clean processes. That skillset turns out to be exactly what you need to build software — even if you've never written a line of code in your life. Vibecoding, the practice of building functional applications through natural language prompts to AI tools, is giving PMs something they've never had before: the ability to build the tool they actually need instead of settling for the one that almost fits.
The use cases below come from practitioners across industries who are doing exactly that — some building internal tools to eliminate manual work, others building client-facing products, and some on the verge of taking a fully vibe-coded platform to market.
Scope of Work Builder (Interior Design Operations)
For Dixie Willard, Founder & Chief Project Strategist at Poised & Plumb, the decision to vibecode wasn't driven by curiosity or experimentation. It was driven by the fact that what she needed simply didn't exist. Willard consults for interior designers and related service businesses, helping them evaluate software, build project workflows, and smooth out operational friction. When she went looking for a tool that would help designers build a scope of work on the spot during a client consultation, she came up empty. "There isn't one," she said. "And, there are a lot of things that designers could use that just don't exist."
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There isn't one [a scope of work tool]. And there are a lot of things that designers could use that just don't exist.
So she built one herself. The tool she's currently developing is a mobile-friendly web app designed to be used in real time during the initial client conversation. As Willard describes it, it's "something that you could have on a tablet or on your phone when you go to the initial consultation. As you're having the conversation, you check things off as you're going, and then by the time you're done, you have this really nice scope of work built out without having to take notes."
A second project she has in progress addresses a different operational gap: a profit margin calculator built specifically for how designers price and mark up products for clients. Again, the reason to build it herself was the same — "There isn't one. There just isn't one."
What Willard's situation illustrates is a pattern that comes up repeatedly among PMs who've gone down this path. The more niche your industry, the more likely it is that no off-the-shelf tool has been built for your specific problem. As she put it, "I think that the niche use cases are probably the biggest reason to vibecode tools. It just makes life so much easier."
I think that the niche use cases are probably the biggest reason to vibecode tools. It just makes life so much easier.
Shipping Demand Dashboard (Enterprise Logistics at Amazon)
Aniket Ghonge, Senior Supply Chain Manager at Amazon, was spending 16 to 18 hours every week manually generating demand plans for new shippers onboarding to Amazon's carrier network. The work involved pulling data across multiple sources, doing calculations for hundreds of accounts, and producing weekly forecasts — none of which the existing CRM was equipped to handle.
"The CRM technology that I was working with didn't have the capabilities I needed," Ghonge explained. “I needed something that could help me automate my work, give me a way to compare multiple sources, and then generate a final demand plan for our new shippers. That's why I built this intelligent onboarding dashboard. It reduced my 18 hours of work to less than an hour for thousands of accounts."
I built an intelligent onboarding dashboard. It reduced my 18 hours of work to less than an hour for thousands of accounts.
What Ghonge built is a full web application — deployed inside Amazon's network, with Amazon security review, user-level permissions, audit logging, and an S3-backed data layer — entirely through agentic AI tools. He's not a software engineer. His background is mechanical and industrial engineering, with some SQL experience picked up on the job. But what he'd learned from years of writing requirements documents for tech teams translated directly into how he approached building with AI: explain the concept clearly, describe what you need, and let the system build it.
The speed differential compared to traditional development was striking to him. "A couple of years ago, I had to work with a web developer, a UX designer, a product manager, a technical program manager – a lot of individuals to build a product," Ghonge said. "Today, I have no blockers. Within two weeks, I was able to build an application. A similar application I supported took two years."
The one lesson Ghonge learned the hard way was one that came up in nearly every conversation for this article: test before you push to production. Midway through development, a new feature wiped out half his application's functionality. "I built, kept on building every day," he said. "But there was a point where I suddenly lost 50% of my work, and that kind of scared me. And that was my hard lesson. You need to test a feature in a testing environment before you make a change to a production environment."
There was a point where I suddenly lost 50% of my work, and that kind of scared me. And that was my hard lesson.
It took four hours of prompting to recover what was lost, and he hasn't skipped the testing step since. Trial and error is part of learning any new skill — and for a growing number of project managers, vibe coding is exactly that.
Custom CRM and Lead Generation Tool
Michael Gold, Founder and Fractional Head of Delivery at Gold Project Management, came to vibecoding from a simple cost-benefit calculation. He was paying for a CRM that was costing him more than it was worth, and he figured he could build something better himself. "I just built my own CRM using Replit because I was using Close and it was costing me $100 a month.”
The CRM he built connects to his website and includes a lead qualification tool he's particularly proud of: "I created a health check diagnostic so that when people go to my contact form, they can answer a few questions and it gives them a report." It’s essentially a self-diagnostic for prospective clients that populates directly into his pipeline.
That project led to a much larger one, but more on that later.
Project Management Assistant
Ryan Gilbreath, Technical Project Manager at RTS Labs, took a different approach — building a personal tool to make his own daily PM work faster and less cognitively taxing. As Gilbreath describes it: “I've created a PM Assistant using Google AI Studio that has a voice mode. So if I'm debriefing and I need to just do a brain dump, I can just turn that on. I can say, hey, this is what happened throughout my day for XYZ projects and have it draw up a report for me."
I’ve created a PM Assistant using Google AI Studio that has a voice mode. So if I’m debriefing and I need to just do a brain dump, I can just turn that on.
The voice mode component is what makes it genuinely useful — the friction of sitting down to write a status update disappears when you can talk through your day and have a report generated from it. Gilbreath's team has also adopted a separate vibe-coded tool: "I have a colleague of mine who actually created a staff support generator through vibecoding that we all use right now."
Commercial-Ready Software: Taking It a Step Further
The most ambitious vibecoding stories aren't internal tools — they're products. Both Michael Gold and Harry Max, a fractional executive and author of Managing Priorities, have gone well beyond personal productivity tools and into building software intended for paying customers.
AI-Powered Professional Services
After spending much time vibecoding internal tools, Gold went on to vibecode the prototype for an entirely new professional services automation platform he and his business partner intend to bring to market. "We went ahead and built a professional services automation tool that we want to be a challenger in the market. The initial prototype was built with Lovable, and even that was pretty good."
We went ahead and built a professional services automation tool that we want to be a challenger in the market. The initial prototype was built with Lovable, and even that was pretty good
For Gold, this transition from personal project to commercial product meant confronting the limits of vibecoding. "Because this is a consumer-facing app, we brought in a technical person. I felt like I could take it to a certain level, but with people paying for it and using it at scale, it would be way too scary to own as a non-technical person."
Considering Gold is also the end-user the tool is designed for, his ability to shape it exactly as he envisions before handing it to a more technical collaborator to refine may be what makes the collaboration — and ultimately the product — so much stronger.
AI-Powered Prioritization Software
Harry Max's story approaches commercial vibecoding from a different angle — using an existing intellectual asset as the foundation. His business partner built an enterprise SaaS platform for their consultancy by treating Max's published book on prioritization as the product requirements document.
"He took my book called Managing Priorities and said, ‘Can I extract the methodology here and basically bake it into a platform?’ Rather than making our clients read a book and walking them through whiteboard sessions, we can go in with a platform that now allows us to do a much better, bigger job with less work."
He [his business partner] took my book called Managing Priorities and said, ‘Can I extract the methodology here and bake it into a platform?
The scale of what a single non-engineer built in nine months is not lost on Max, who has been through the traditional software development process before. "In nine months with one guy, he's built something as sophisticated as what we built 20 years ago with 14 people and $2 million. And he did it all by himself." That statement shows just how much of an impact vibecoding is having – and can have – on countless industries and workflows.
Vibecoding and the Promise of Better, Custom Workflows
Vibecoding isn't just helping PMs build workflows that help work move faster. In some cases, it's helping them build things that have never existed before — tools too niche for any software company to have bothered with, for industries too specific to have attracted the right developer at the right time. For project managers working in those gaps, the barrier between "I wish this existed" and "I built this" has never been smaller.
The code isn't the hard part. Knowing exactly what you need — and being disciplined enough to test before you break everything — is. For the PMs already doing this, that's a distinction they figured out quickly. For those just getting started, it might be the most important thing to know going in.
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