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Future of Coding

Beyond Efficiency by Dave Ackley

Mar 4, 2024
Dave Ackley challenges conventional software engineering by advocating for a balance between correctness and efficiency. The episode explores robustness in computing, prioritizing resilient solutions over peak performance. Examples range from RAID to Byzantine fault tolerance, highlighting the importance of handling unpredictable situations in software development.
01:44:07

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Quick takeaways

  • Efficiency and robustness trade-offs challenge standard computing models.
  • Robustness in distributed systems mitigates potential failure points for reliability.

Deep dives

Trade-off Between Efficiency and Robustness in Software Design

Efficiency and robustness often present a trade-off in software development, where optimizing for one may compromise the other. This trade-off can be seen in examples like implementing lazy evaluation in Haskell to enforce a level of determinism or consistently parsing code frames for efficient syntax highlighting. While efficiency is essential, sacrificing robustness can lead to bugs that may be challenging to track down and fix.

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