I'm a senior principal engineer. I use AI at work, but some tasks you should do from scratch — here's how I decide. (www.businessinsider.com)

Brandon Pedersen, a senior principal engineer at GoTo, shared insights on effectively integrating AI into the workplace, underscoring both the strengths and limitations of AI tools. As the technical lead of an AI enablement team, his role involves maintaining AI platforms, creating supportive tools, and educating colleagues on best practices. He emphasizes a critical approach to AI outputs, recommending that engineers review the suggestions provided by models like Claude Code and GitHub Copilot. He notes that while AI can significantly enhance productivity, it’s crucial to maintain a discerning eye, particularly for mission-critical tasks, which may be better handled manually to ensure accuracy and relevance. Pedersen advocates for intentional AI use, advising on the importance of precise prompting and establishing a balance between automation and human judgment. He introduces a “two-second rule” to determine when tasks should be automated versus handled directly, warning against over-reliance on AI for social or judgment-based interactions. Furthermore, he encourages validating AI-generated information through sourcing checks to enhance credibility. As AI technology progresses, he believes it will be essential for engineers to apply personal judgment and oversight to leverage AI effectively, continuously experimenting with new applications to maximize its potential while safeguarding against its limitations.