Wider, Not Faster (www.kevinlondon.com)

A recent reflection on using AI coding assistants, particularly Claude Code, reveals a shift in productivity dynamics rather than a simple speed increase. The author highlights how their work process evolved; instead of just coding faster, they can manage multiple projects simultaneously—up to ten instances at once—allowing for quicker problem-solving and bug fixes. This enhanced capacity leads to greater creativity as they can address issues directly rather than filing them away, a change that makes previously unfeasible improvements now manageable. This transformation underscores a significant evolution in how engineers interact with AI tools. While productivity gains are notable, the challenge lies in managing attention across multiple tasks and projects. The author notes that with expanded capabilities comes increased responsibility and self-expectation, shifting the focus from merely completing tasks to understanding personal limits. As AI continues to redefine workflows, professionals must navigate the complexities of their expanded roles, finding balance in a landscape where expectations, driven by technology, continually rise.