The Moment I First Showed Developers a Finished Module and Surprised Them

In my life, I've journeyed from a coach and director to a landscape designer, but I've never been a professional programmer. Nevertheless, when I conceived formspace.design, I firmly knew I wanted to build it myself, using modern tools, particularly artificial intelligence. The moment I first presented a fully functional module, created by me, to a group of experienced developers, was a true revelation, both for them and for me.

From Idea to First Prototype: My Journey into Coding

My experience in business, especially in landscape design, taught me one important thing: if you want something done right, show how it works, or do it yourself. I spent years managing the company 'Dom i Sad' (House and Garden), designing and building cottages, and landscaping plots. I saw how much time and resources were spent on routine operations, visualization, and explaining to clients what the final result would be. My pain, as a director, was the lack of a single tool that would integrate CRM, planning, and visualization. I discussed this in more detail in the article Why I decided that CRM and visualization should be in one place.

At 61, when many think about well-deserved retirement, I decided it was time to create this tool. I began exploring the possibilities of AI in development, understanding that without a staff of programmers, this was my only chance. I didn't need to know every syntax or framework perfectly; I needed to be able to set tasks and understand the logic of operation, and my many years of experience in business and management helped me with that.

When Expertise Matters More Than Syntax

The essence of my approach was not to become a coding virtuoso, but to be the ideal 'client' for artificial intelligence. I clearly articulated the problem, described the desired functionality, drew interface prototypes, and AI helped me translate this into code. For example, I needed a module for managing client requests, where I could track project statuses, contacts, and interaction history. For traditional development, this could be a task for several weeks for one programmer. With AI, I was able to get the first working prototype of this module in just 3-4 days, including a basic interface and data saving logic.

My domain expertise in landscape design allowed me to avoid typical mistakes. I knew exactly which fields were needed in a client card, what the sequence of project stages should look like, and which reports would be useful. AI, in turn, offered optimal data structures and code snippets that I could quickly review and adapt. It was a symbiosis where my experience guided the technology, and the technology expanded my capabilities.

The Role of AI in Creating Functional Modules

AI became my full-fledged co-author. It helped me not only with code generation but also with debugging, optimization, and even architecture. I could describe complex logic, such as calculating plot area considering various zones and objects, and AI would propose an effective solution. It helped me create interactive elements, data input forms, and modules for uploading and processing images. I could quickly experiment with different approaches to the user interface, getting ready-made components in minutes.

For example, when I was working on the visualization module, I needed users to be able to easily upload photos of their plot and apply various design elements to them. AI helped me write code for image processing, layer overlay, scaling, and transparency. I could test various ideas, such as how best to display a 10-sotka plot of land with a 120 m² house and garden, and receive instant feedback from AI, which significantly accelerated the development process. This was a true personal generation gap that I experienced firsthand.

Meeting the Team: Reaction to the Finished Product

I remember that day very well. I gathered several developer acquaintances – people I had consulted with in the early stages when I was just formulating the idea. They expected to see a presentation, perhaps sketches or a concept. Instead, I opened a browser and showed them a working CRM module that allowed creating projects, adding clients, planning tasks, and even generating basic reports. It wasn't just a mockup; it was a live, interactive tool.

Their reaction was priceless. First disbelief, then surprise. 'How did you do this?', 'Who coded this?', 'You're not a programmer!' – these questions poured out one after another. They were amazed not only by the functionality but also by the speed with which it was created. They expected that such a level of development would have taken a team of two or three people several months, yet it was done by one person who hadn't written a single line of code a year ago.

Overcoming Skepticism and Stereotypes

This moment confirmed for me that the new paradigm of AI-driven development is not just a buzzword, but a real opportunity. Of course, after the initial shock, deeper questions arose: about scalability, security, architecture. But most importantly, I was able to show that a deep understanding of the domain, in my case landscape design and project management, combined with the power of AI, allows for the creation of fully-fledged products, even if you are not a traditional programmer.

I explained to them that my approach doesn't replace experienced developers but complements them. AI took on routine tasks like writing boilerplate code and generating UI components, while I focused on logic, user experience, and business processes. This allowed me to move at an incredible speed, making iterations not in weeks, but in days, and sometimes even hours. For example, making a small change to a form or adding a new field to the database took 10-15 minutes, whereas previously it could have required approvals, task assignment, and waiting.

Key Lessons for Those Building a Product Without a Team of Programmers

1. Deep understanding of the problem: Don't try to solve everything at once. Focus on one, the most pressing problem your product should solve. Mine was the lack of a unified system for landscape projects.
2. AI as a partner, not a replacement: Use AI to automate routine tasks, generate code, and debug. But you should always be the 'conductor' who understands what the final outcome should be.
3. Iterative approach: Don't be afraid to make mistakes and correct them quickly. Thanks to AI, the speed of iterations increases manifold. You can test hypotheses and get results almost instantly.
4. Focus on MVP: Don't strive for perfection from day one. Create a Minimum Viable Product (MVP) that solves a key problem, and gradually build up functionality. My first module was simple but functional.
5. Continuous learning: The world of technology changes very quickly. Be prepared to constantly learn and adapt to new tools and approaches. At my age, this is especially important, but entirely feasible.

How to Plan in formspace.design

My philosophy for creating formspace.design, where expertise and efficiency go hand in hand with technology, directly reflects the capabilities the platform provides to its users. When I developed the modules, I always thought about how to make the plot planning process as intuitive and effective as possible for the owner. The goal was for anyone who wants to transform their plot to be able to do so, without being a professional designer.

Imagine you want to plan a new garden on your 15-sotka plot. You can start by uploading a photo or plan of your plot to module 1.1 'Plan and Zones'. Then, using module 2.1 'AI Concept', you receive several layout options, considering your preferences for style, zone functionality, and even plant choices. AI quickly analyzes the input data and generates visual concepts that you can refine. Next, in module 3.1 'Design by Photo', you can literally 'try on' various elements – paths, flowerbeds, small architectural forms – directly on your photo to see how they will look in reality. This helps avoid costly mistakes and provides a clear vision of the future landscape before commencing physical work. Comparison of plot visualization before and after formspace.design will show how much this simplifies the process.

FAQ

Is it really possible to create a complex software product without being a professional programmer?

Yes, it is possible. My experience with formspace.design proves that with a deep understanding of the domain and skillful use of modern AI tools, one can create functional and complex modules. AI acts as a powerful assistant that translates your ideas into code, significantly reducing development time and the need for specialized coding skills.

Which specific modules did you show the developers?

I demonstrated a working prototype of a CRM system integrated with a basic planning module. It allowed managing the client database, running projects, tracking tasks, and visually placing key landscape elements on a schematic plot plan. It wasn't a complete product, but already a fully functional, interactive tool.

Was it difficult to integrate AI into your workflow?

Initially, there was an adaptation period, but AI quickly became an integral part of my process. The main thing is to learn how to formulate requests correctly and critically evaluate the solutions proposed by AI. Over time, it became as natural as communicating with an experienced colleague who is always ready to offer options and help with routine tasks.

What was the biggest challenge in this development approach?

The biggest challenge was overcoming internal barriers and stereotypes that 'only programmers can program'. It also required continuous learning and adaptation to the new capabilities of AI, which develops very quickly. Sometimes it was difficult to distinguish a truly effective solution from beautifully written but suboptimal code.

How does this development philosophy benefit formspace.design users?

This philosophy allows me to create an intuitive and functional product that precisely meets the needs of plot owners. Thanks to rapid iteration and a deep understanding of landscape design, formspace.design offers exactly the tools that are truly needed, without unnecessary complexity. This ensures high speed in developing new features and their accuracy.

Do traditional developers become obsolete with the advent of AI tools?

Not at all. AI tools rather expand the capabilities of developers, automating routine tasks and allowing them to focus on more complex architectural challenges and innovations. They also open doors to the world of development for non-specialists, like myself, creating new products and ideas that might otherwise not see the light of day. It's more of a partnership than a replacement.

What's next for formspace.design?

We continue to actively develop formspace.design, adding new modules for detailed planning, expanding the database of plants and materials, and improving AI algorithms for even more accurate and creative concepts. My goal is to make formspace.design the most comprehensive and accessible tool for everyone who dreams of a beautiful and functional plot.

The moment I showed this module became an important milestone in my journey of creating formspace.design. It confirmed that with the right approach and modern tools, even a non-programmer can bring their ideas to life. I invite you to join our community and start creating the landscape of your dreams today.