Before AI coding assistants, a typical engineering team built expertise with the years: new team members joined, contributed small bug fixes, then were given more ambitious tasks over time as they became more comfortable in a codebase, to ultimately become experts. This process took years.
In contrast, today, almost every engineer, and many non-engineers, have access to tools that can gather context from any codebase, and produce a large volume of high-quality code in a day. This lowers the bar for contributing meaningful changes to the software we build and enables many more individuals without domain or codebase expertise with good ideas to see them to light.
At work, I asked my team to…














A sneak preview of what the trace looks like.









