As a developer, I've often felt the frustration of finishing a first version of code only to realize halfway through that the requirements were misunderstood, the technical approach was flawed, and the architecture couldn’t support future needs. The usual advice was to rewrite, but deadlines rarely allow that luxury.
Enter AI programming tools. They’ve changed the game by making the "write twice" approach not just feasible but efficient.
Two Versions, Two Standards
This approach isn’t new—it's similar to the "prototype development method" from software engineering textbooks. Traditionally, building a prototype took so much time that it seemed impractical. But with AI, what used to take days can now be done in hours.
My workflow now involves two distinct versions:
- Version One: The Prototype – AI generates a rough but runnable version quickly. The goal here is simple: confirm the requirements and identify technical challenges. No concern for code quality, architecture, or security. This code is disposable, often kept separate in its own branch or repo. It’s like a sketch from an architect—rough lines just enough to visualize the idea and test assumptions.
- Version Two: The Production Build – Once the prototype clarifies the path, I switch to a traditional disciplined approach. This means thoughtful design, modular coding, code reviews, continuous integration, and security considerations. AI continues to assist, but now it follows a clear plan directed by me. Valuable parts from the prototype, especially algorithms and core logic, can be refined and reused.
Why This Works
The main challenge in software development is incomplete understanding of requirements early on. Traditional methods waste time over-engineering before the problem is fully understood. By contrast, the two-version method uses AI speed to explore and confirm needs cheaply before committing to a solid design.
It also helps overcome resistance from senior developers wary of AI-generated code quality. Since the first version is disposable, they can feel comfortable using AI without risking production standards.
More than just speeding up coding, AI reshapes the economics of development. What used to be too expensive—writing code twice—now saves time and reduces risk. Embracing a disposable prototype unlocks better final products.
You can find the full prompt here: ✨Prompt✨
For more insights on how to optimize your workflows with AI, check out AI image generator, text to image, and AI art creator tools that help visualize concepts and streamline image generation.