Expert Insights

Alan Buxton showcases the transformative impact of AI-assisted software development on rapid prototyping, suggesting a significant reduction in the time and effort typically required to build, test, and modify prototypes.

Previously, this process would involve numerous steps and iterations, but with AI-infused development, he suggests hours instead of weeks. However, there is an implication that it's critically important to ensure the end result aligns with the team's intended vision.

Hear Alan explain:

  • How the integration of AI in software development has accelerated the prototyping phase.
  • What shortcomings typically occur when translating initial ideas into concrete prototypes?
  • How "vibe coding" functions as a practical example of the potential speed and efficiency offered by AI-infested development.

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So in the olden days, you'd have written it down on a whiteboard and then you'd have got someone to do some figs and then you'd have built a prototype. Then you'd realize that wasn't really what you wanted... anyway, so he spent two hours vibe coding, something.quotation-marks icon
Alan Buxton ,
CTO, Simphony

THE NEW DEFAULT angle

Here's how to improve the prototyping process in software development with AI:

  • Accelerate Prototyping: Incorporate AI tools within your development workflow to reduce the prototyping phase from weeks to just a few hours.
  • Communication is Key: Ensure your team has a mutual understanding of the envisioned product before diving into rapid prototyping to avoid unnecessary iterations.
  • Implement Vibe Coding: Consider integrating 'vibe coding', or similar approaches, to demonstrate a rough code draft of the planned software in very short timeframes.
  • React and Adapt: Make use of the reduced prototyping time to gather early feedback and adapt your prototypes swiftly and efficiently.