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Martin Kleppmann

What Martin Kleppmann thinks about formal proof

@martin-kleppmann · 26 positions · On ppll ↗

Computer science researcher at Cambridge, author of Designing Data-Intensive Applications, after a decade in industry at his own startups and LinkedIn.

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Only Martin Kleppmann on formal proof. See everyone on formal proof

3 dated positions, 2026, in their own words. Our reading of what Martin Kleppmann has said — not written or endorsed by them.

3 positions so far — this page is not yet offered to search engines.

  1. Our readingA test checks a handful of examples; a proof settles an infinite state space, which is why formal methods can say things testing never can.

    Their wordsBut a proof can reason about potentially infinite state spaces. So, it can tell you things about like every possible thing that could possibly happen in the entire universe.

    ↗Designing Data-intensive Applications with Martin Kleppmannyoutube.com 17th of 26 in this recording

  3. Our readingFormal verification is about to become economical, because models are getting good enough at writing the proofs that humans no longer have to.

    LLMs

    Their wordsOne is that the LLMs are getting increasingly good at writing these proofs. And if we don't have to write the proof by hand as humans, it just becomes feasible to do them in situations where previously it would have not been economical.

    ↗Designing Data-intensive Applications with Martin Kleppmannyoutube.com 18th of 26 in this recording

  5. Our readingAI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck.

    LLMscode generationAI writing

    Their wordsBut also LLMs increase the need for these formal proofs because, you know, we're live coding a bunch of stuff. If we have to manually review all of that code, then that will become the bottleneck.

    ↗Designing Data-intensive Applications with Martin Kleppmannyoutube.com 19th of 26 in this recording