My article on why AI is great (or terrible) or how to use it (matthewrocklin.com)

In a recent article, a senior engineer shares their positive experience with AI in programming, emphasizing its potential to enhance productivity and creativity, particularly within the open-source Python data ecosystem. The author advocates for experienced developers to embrace AI tools like Claude Code, detailing that AI allows for a more enjoyable coding experience by automating mundane tasks and enabling faster innovation in areas previously deemed too challenging. However, they also address significant concerns, such as the propensity for AI to generate low-quality code and the risk of developers losing their understanding of programming fundamentals. To navigate these challenges, the engineer suggests practical strategies, including the use of "hooks" to streamline AI tool interactions and minimize repetitive tasks. They note the importance of establishing a feedback-driven system to build confidence in AI-generated code, recommending thorough testing, performance evaluations, and automated reviews. The author argues that, despite AI's flaws, it has the capability to enhance both code writing and review processes when integrated thoughtfully into a developer's workflow, ultimately fostering a shift in how experienced programmers can leverage AI to boost their capabilities.