The traditional lifecycle of software development—planning, architecting, securing, and scaling—is designed for permanence. We build software to last for years, which justifies the high cost of development and the rigid controls of the modern enterprise.
But what happens when the development cost drops to nearly zero? We enter the era of Throwaway Software.
The Catalyst: Presentation Pulse
The concept is best illustrated by a real-world “impossible” deadline. Imagine a high-stakes medical conference where doctors are competing for a trip to Europe. The judging needs to be instant, but the only available tool is paper. Usually, a custom digital solution would be deemed “too expensive” or “not worth the time” for a single-day event.
I used this as an experiment to see how AI could bridge that gap. By using AI to generate high-fidelity HTML/CSS mocks for immediate feedback, and then using those mocks as the “requirements” for an AI agent, the development cycle vanished.
This wasn’t a “proof of concept”—it was a production reality. Within 6 hours, I had a mobile-responsive, fully tested application named Presentation Pulse live on its own domain with an SSL certificate. Total cost outside of my time? Roughly $20. The app worked perfectly, handled the live scoring without a hitch, and was deleted the next day. It served its purpose and then it was gone.
The Shift in Economics
The success of this experiment solidified a new reality for me: AI has changed the economics of development so deeply that we should now be building software for tasks we previously did manually.
The Old Paradigm: Traditional Development
In the traditional world, we build for permanence. This approach makes sense for “forever” software, but it kills the possibility of quick solutions:
- Philosophy: Build to last 5+ years.
- Approach: If a custom tool is too expensive, we default to manual labor (paper, Excel, or extra man-hours). Software reserved for complex and permanent processes.
- Complexity: Built with custom design, microservices, events, complex gateways, and siloed hosting to ensure infinite scalability.
- Cost: Tens of thousands of dollars in man-hours and months of lead time.
The New Paradigm: AI-Enabled Disposable Software
With AI, we can now focus on “utility” in addition to “longevity”. If the cost of development is negligible, the “throwaway” app becomes the most efficient choice:
- Philosophy: Build to solve a problem for 5 hours or 5 days.
- Approach: Purpose-build an application for a single data migration, a specific event, or a unique task automation.
- Complexity: Embraces “good enough” monolithic architecture—like serving a React app directly from Java—to prioritize speed over theoretical scale.
- Cost: The price of a domain name, a few dollars in hosting, and a single afternoon of work.
The Bottleneck: The “Enterprise Tax”
The biggest hurdle to this revolution isn’t the AI—it’s the infrastructure. Most companies have taken the “cheap and quick” promise of the cloud and layered it with internal controls designed for $500,000 projects. If you want to deploy a small utility app, you’re often met with:
- App registration and setup to enable hosting and source control
- Mandatory CI/CD pipeline configurations.
- Separate front-end/back-end hosting requirements.
- Strict gateway and whitelisting procedures.
For a permanent enterprise tool, these are vital safeguards. For a 20-user app that will be deleted in 48 hours, these procedures are the “death of the possible.” To make Presentation Pulse feasible, I hosted the static React application directly from the Java backend—a technical “no-no” in many rigid dev shops, but a masterstroke for speed and simplicity.
Redefining Software Strategy
If your organization cannot deploy a “throwaway” app in under an afternoon, you are missing out on a massive productivity gain.
We need to create a space where AI-generated, one-time-use tools can live without triggering the full weight of standard production controls.
The takeaway: AI has solved the software writing problem. Now, it’s time for leadership to solve the software hosting problem. If we don’t change our procedures, we will continue to use paper for tasks that a $20 app could have solved in a few hours.
Written by Norm Murrin