Platforms like Lovable, Bolt, Replit and Cursor are making it possible to build applications faster than ever before. What previously took months can now sometimes be achieved in days or weeks.
As a software consultancy, you might expect us to see this as a threat.
We don’t.
In fact, we use AI tools ourselves every day.
The reality is that AI app builders are incredibly powerful. For some projects, they’re absolutely the right choice.
The important question isn’t whether AI can build software.
The question is whether it’s the right solution for your particular business.
When AI App Builders Make Sense
AI-powered development tools are excellent for:
Proof of Concepts
If you have an idea you’d like to validate quickly, AI can help you get something working in a remarkably short period of time.
Internal Tools
Simple business utilities, calculators, dashboards and reporting tools can often be built efficiently using AI-assisted development.
Startups Testing an Idea
When speed is more important than perfection, AI can help founders launch and gather feedback quickly.
Personal Projects
Many individuals are now building software themselves without needing extensive technical knowledge.
This is genuinely exciting.
The barrier to creating software has never been lower.
Where Things Become More Complicated
The challenge isn’t usually building version one.
The challenge is building version ten.
As software becomes more important to a business, additional requirements emerge.
Questions like:
- How will users be managed?
- How are permissions controlled?
- What happens if customer data is compromised?
- How are backups handled?
- What happens when staff leave?
- How will future features be added?
- How will the platform scale as the business grows?
These are rarely solved by the first version of an application.
They’re solved through planning, architecture and experience.
Software Is More Than Code
One of the biggest misconceptions about software development is that businesses hire developers primarily to write code.
Historically that may have been true.
Today, AI is increasingly capable of generating large amounts of code.
However, businesses still need people who can:
- Understand business processes
- Design scalable systems
- Evaluate technical risks
- Plan integrations
- Make architectural decisions
- Protect sensitive data
- Build systems that can evolve over time
The code itself is only part of the solution.
The Cost of Getting It Wrong
For a personal project, mistakes are usually manageable.
For a business-critical system, the consequences can be far greater.
Poorly planned software can lead to:
- Data loss
- Security vulnerabilities
- Operational disruptions
- Expensive rebuilds
- Scalability limitations
- Integration challenges
Many organisations end up spending significantly more fixing software than they would have spent building it correctly in the first place.
The Right Tool For The Right Job
We’re not opposed to AI-generated software.
Far from it.
In many situations it can dramatically reduce development time and cost.
The key is understanding where it fits.
For simple projects, prototypes and early-stage ideas, AI app builders can be an outstanding option.
For systems that underpin business operations, manage customer data, support multiple users or require long-term reliability, additional planning and expertise often become essential.
Our Approach
At MT Software, we embrace AI-powered development tools because they help us deliver value faster.
But our clients don’t engage us simply to write code.
They engage us to understand their business, solve complex problems, and build software that continues to deliver value long after the first version is launched.
AI is changing how software is built.
It isn’t changing the importance of making the right decisions before the first line of code is written.
The most successful projects aren’t defined by how quickly they’re built.
They’re defined by how well they support the business years after launch.
