AI is redefining who can build software and how quickly ideas can become working apps. A great example comes from Doher Drizzle Pablo, who found herself overwhelmed with travel reimbursements after moving from the Philippines to Sweden. Tired of dealing with endless spreadsheets, she turned to AI for help — without realizing she was stepping into a new era of software creation.
Using Microsoft Power Apps’ Plan Designer, she simply described her problem in everyday language. In just two hours, she was using her own customized expense-tracking app. Pablo, who once had no access to computers in her rural upbringing, now uses AI-powered tools like Copilot across the Power Platform to build solutions for scheduling, sharing leads, organizing events, and more. For her, AI has become a trusted partner that eliminates repetitive, time-consuming tasks.
This shift is made possible by a growing ecosystem of no-code, low-code, and pro-code AI tools — from Power Apps and GitHub Spark to VS Code and GitHub Copilot. These tools open the world of software creation not only to trained engineers but also to everyday professionals.
A Productivity Boost for Developers
Developers, while cautious at first, are discovering how powerful conversational coding can be. “Vibe coding,” a term made popular by Andrej Karpathy, helps people overcome the classic “blank page problem” by turning ideas into initial prototypes almost instantly.
Microsoft engineer David Fowler explains that AI drastically reduces the effort needed to get the first version of an idea running. Routine and repetitive tasks can be automated quickly, freeing developers to focus on meaningful, high-level work. He has personally used tools like GitHub Copilot to streamline daily annoyances — and even watched a colleague transform one of his apps into a functional website without writing manual code.
From Ideas to Reality Faster Than Ever
AI shifts development from focusing on how something is built to focusing on what needs to be achieved. This “outcome-first” way of building allows for quick experimentation without the fear of wasting significant time and resources.
Amanda Silver of Microsoft describes the impact as “profound,” noting how the technology lets developers test new concepts rapidly. Brendan Burns adds that these early AI prototypes reveal what’s possible, motivating teams to refine ideas and turn them into full-fledged solutions.





















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