Does having smaller, more frequent iterations help to ease your cognitive load? During this episode, we discuss the benefits and challenges of working iteratively and whether or not it can prevent costly errors. You’ll hear about juggling individual pieces effectively, factors that incentivize and de-incentivize working iteratively, and how Joël gauges whether or not a project should be broken up into smaller tasks. It can be hard to adopt small iterations, and this conversation also touches on the idea of ‘good enough code’ and discusses how agility can reduce the cost of making changes. Tuning in, you’ll hear about some of the challenges of keeping up with changes as they evolve and why it is beneficial to do so. You will also be equipped with a thought experiment involving elephant carpaccio to build your understanding of working iteratively, explore the challenge of keeping up with evolving changes, and more. Thanks for listening.

Key Points From This Episode:

Stephanie shares a recent mishap that happened at work and what she learned from it.

Links Mentioned in Today’s Episode:

WorkOS

Support The Bike Shed