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Command+Shift+Left
Hosted by Filip & Or
31 episodes
9 months ago
In this episode, we discuss Hacktoberfest’s impact on open-source contributions and the unique challenges it brings for maintainers. Then, we went into the “Jevons Paradox” and its relevance to AI, exploring how increased efficiency can lead to skyrocketing demand and unexpected consequences. We also tackle the age-old question of balancing quick MVP development with long-term scalability—when to cut corners and when to plan for the future. Finally, we look at how FPGAs and specialized s...
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Technology
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All content for Command+Shift+Left is the property of Hosted by Filip & Or and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In this episode, we discuss Hacktoberfest’s impact on open-source contributions and the unique challenges it brings for maintainers. Then, we went into the “Jevons Paradox” and its relevance to AI, exploring how increased efficiency can lead to skyrocketing demand and unexpected consequences. We also tackle the age-old question of balancing quick MVP development with long-term scalability—when to cut corners and when to plan for the future. Finally, we look at how FPGAs and specialized s...
Show more...
Technology
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E16: Testing Evolution & No-Code Solutions
Command+Shift+Left
39 minutes
1 year ago
E16: Testing Evolution & No-Code Solutions
In this podcast episode, we discuss how testing is becoming more human-like across all levels, including API and Unit tests, driven by new tools that focus on real-world scenarios. We debunk the myth that design skills are innate, showing how they're rooted in science and can be learned like any other skill. Topics like color theory and psychological principles are highlighted for their role in enhancing developer skills. Finally, we examine the rapid growth of the low-code market, projecting...
Command+Shift+Left
In this episode, we discuss Hacktoberfest’s impact on open-source contributions and the unique challenges it brings for maintainers. Then, we went into the “Jevons Paradox” and its relevance to AI, exploring how increased efficiency can lead to skyrocketing demand and unexpected consequences. We also tackle the age-old question of balancing quick MVP development with long-term scalability—when to cut corners and when to plan for the future. Finally, we look at how FPGAs and specialized s...