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AI has made it easier than ever to build software. With a few prompts, many AI tools can generate screens, workflows, integrations, and even complete applications. The “vibe coding” trend allows people with limited technical experience to create working software surprisingly quickly.
But creating an application is only one part of the equation. What many organizations overlook is the total cost of ownership (TCO) of the software they create.
Total cost of ownership is the complete cost of a system over its lifetime, not just the cost of building it.
When evaluating software, organizations often focus on development costs because they are the most visible. However, the real cost includes everything required to keep an application running, secure, and useful over time. Hosting, maintenance, security updates, support, integrations, compliance requirements, and future enhancements all contribute to the overall investment.
The initial build may only represent a small part of the total cost.
Vibe coding can significantly reduce the effort required to create an application.
For prototypes, internal tools, and straightforward business applications, AI-generated code can provide a fast path from idea to working solution. This is one of the reasons AI-powered software development has gained so much attention.
The challenge comes after launch. Applications rarely remain unchanged. Business processes evolve, users request improvements, external systems update their interfaces, and security vulnerabilities need to be addressed. As software becomes more important to the business, maintaining it often requires increasing levels of technical expertise.
Many software projects focus heavily on getting the first version live. As a result, the ongoing costs are often underestimated.
Once an application is in production, someone needs to maintain it. Bugs need to be fixed, integrations need to be monitored, infrastructure needs to be managed, and new functionality needs to be developed. These activities are rarely included in the excitement of building the first version, yet they often represent a significant share of the total investment.
This is where total cost of ownership becomes important. The real cost of software is not measured on launch day, but across years of use.
The same principle applies at the feature level. Organizations often estimate the effort required to build a feature but spend less time considering what that feature will cost to support in the future. Every new feature adds complexity. It needs to be maintained, tested, documented, and supported throughout its lifecycle.
A similar mistake is often made when calculating the business case for an automation project.
Many organizations focus on implementation costs and expected savings while overlooking the long-term operational costs of the solution itself. A realistic business case should consider both the benefits and the ongoing effort required to maintain the technology.
This includes not only financial costs but also the availability of technical skills, future enhancement requirements, and the ability to scale the solution as the organization grows.
At Triggre, we believe organizations should focus on improving processes rather than managing software infrastructure.
While AI can help generate applications, there is a significant difference between creating software and owning software. Coding an application is only the starting point. The long-term responsibility for hosting, security, maintenance, and platform updates remains.
With Triggre, much of that responsibility is handled by the platform. Hosting, security updates, maintenance, and platform improvements are managed automatically, helping organizations reduce the effort required to keep applications running.
As a result, teams can focus more on business outcomes and less on technical upkeep.
Vibe coding is an important development in software creation. It lowers barriers, speeds up development, and enables more people to build applications.
However, the cost of creating software and the cost of owning software are not the same thing.
Before starting a new project, it is worth asking not only how quickly an application can be built, but also what it will cost to maintain, secure, and improve over the coming years.
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