AI code generation tools are profoundly reshaping how software is built. This post reflects on my hands-on experiences with tools like Lovable, Cursor, and ChatGPT, compares design-led and engineering-led approaches, and introduces a combined workflow that combines these tools to deliver high quality working applications fast.
At the SaaS CTO Unconference in London in September 2024, a panel explored whether AI is a lasting transformation or just hype. Drawing on tech history, I outlined four criteria for identifying transformative technology such as AI: user value, ease of integration, platform flexibility, and openness. AI’s impact will ultimately depend on collective choices we make.
How can tech leaders can build effective, resilient teams amid today’s volatile business landscape, where productivity pressures, AI advances, and shifting operating models are reshaping expectations? I highlight the growing importance of cross-functional collaboration, product-oriented thinking, and soft skills. I compare the in-house approach with more flexible models.
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