1. Episode 434

    Natalya Shelburne on Design Engineering

    Natalya Shelburne is out guest to talk about her work at the New York Times, the importance of job titles, design engineering, design systems, and 2020 hot takes and soapboxes: childcare in the pandemic, education, and conferences.
  2. Episode 433

    Garbage PRs, Wayfinding on the Web, and Chapter 2 of the History of the Web

    The spookiest month of the year brings discussions of handling pull requests on open source projects, wayfinding on the responsive web, how would having to pay for frameworks change the web, relying on social media for promotion, and chapter 2 of the history of the web as read by Jeremy Keith.
  3. Episode 432

    SWYX

    Shawn Wang, known as Swyx, talks with Dave and Chris about his career path from finance to coding, and now in developer experience. They chat about serverless functions, React, getting a broad sense of technology, Wang's Coding Career Handbook, what's next for SSR, checking out Vite, and what exactly is DevX / developer experience?
  4. Episode 431

    Weaving Tangled Webs, Web Workers, and the History of the Web

    This episode Dave's been blogging about the tangled webs we weave with dependancies and the internet, we talk more about web workers, and making peace with production code written by your earlier self. And Jeremy Keith kicks off part 1 of a reading of the history of the web.
  5. Episode 430

    Smashing Conf Live Webinar

    Chris and Dave are coming to you live (recorded) from Smashing Conf's Live Webinar riffing on the talks and presentations, as well as their own Marketing Cloud Webinar Presentation.
  6. Episode 429

    Cognitive Bias with David Dylan Thomas

    David Dylan Thomas stops by to talk about his new book, Design for Cognitive Bias, recently published by A Book Apart. We talk about the illusion of control, confirmation bias, capitalism as a bias, culture fit, bias blindspots, the myth of the self-made man, move fast and break things, dark patterns, and what can we takeaway from learning about bias?

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