These answers come from the year-long archive of my previous chatbot that lived on my previous site iamnicola.ai. I’ve curated the most useful sessions—real questions from operators exploring AI workflows, experimentation, and conversion work—and lightly edited them so you get the original signal without the noise.
experimentation
What do you think about the ole of AI in coding?
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A/B Testing and Experimentation: Building a Data-Driven Culture →Build a systematic experimentation program that drives real results. Learn how to prioritize tests, avoid common mistakes, and scale your testing efforts.
The role of AI in coding is transformative, offering tools for code generation, bug detection, and automated testing. It can significantly enhance productivity and efficiency for developers. However, it's important to use AI as a complement to human expertise rather than a replacement, ensuring that the creativity and problem-solving skills of developers remain at the forefront of software development.
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