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From Unit Tests to Whole Universe Tests (with Will Wilson)

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Manage episode 505534938 series 3476072
Contenuto fornito da Kris Jenkins. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Kris Jenkins o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

How confident are you when your test suite goes green? If you're honest, probably not 100% confident - because most bugs come from scenarios we never thought to test. Traditional testing only catches the problems we anticipate, but the 3am pager alerts? Those come from the unexpected interactions, timing issues, and edge cases we never imagined.

In this episode, Will Wilson from Antithesis takes us deep into the world of autonomous testing. They've built a deterministic hypervisor that can simulate entire distributed systems - complete with fake AWS services - and intelligently explore millions of possible states to find bugs before production. Think property-based testing, but for your entire infrastructure stack. The approach is so thorough they've even used it to find glitches in Super Mario Brothers (seriously).

We explore how deterministic simulation works at the hypervisor level, why traditional integration tests are fundamentally limited, and how you can write maintainable tests that actually find the bugs that matter. If you've ever wished you could test "what happens when everything that can go wrong does go wrong," this conversation shows you how that's finally becoming possible.

---

Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices

Support Developer Voices on YouTube: https://www.youtube.com/@DeveloperVoices/join

Antithesis: https://antithesis.com/

Antithesis testing with Super Mario: https://antithesis.com/blog/sdtalk/

...and with Metroid: https://antithesis.com/blog/2025/metroid/

MongoDB: https://www.mongodb.com/

etcd (Linux Foundation): https://etcd.io/

Facebook Hermit: https://github.com/facebookexperimental/hermit

RR (Record-Replay Debugger): https://rr-project.org/

T-SAN (Thread Sanitizer): https://clang.llvm.org/docs/ThreadSanitizer.html

Toby Bell's Strange Loop Talk on JPL Testing: https://www.youtube.com/results?search_query=toby+bell+strange+loop+jpl

Andy Weir - Project Hail Mary: https://www.goodreads.com/book/show/54493401-project-hail-mary

Andy Weir - The Martian: https://www.goodreads.com/book/show/18007564-the-martian

Antithesis Blog (Nintendo Games Testing): https://antithesis.com/blog/

Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social

Kris on Mastodon: http://mastodon.social/@krisajenkins

Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

  continue reading

101 episodi

Artwork
iconCondividi
 
Manage episode 505534938 series 3476072
Contenuto fornito da Kris Jenkins. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Kris Jenkins o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

How confident are you when your test suite goes green? If you're honest, probably not 100% confident - because most bugs come from scenarios we never thought to test. Traditional testing only catches the problems we anticipate, but the 3am pager alerts? Those come from the unexpected interactions, timing issues, and edge cases we never imagined.

In this episode, Will Wilson from Antithesis takes us deep into the world of autonomous testing. They've built a deterministic hypervisor that can simulate entire distributed systems - complete with fake AWS services - and intelligently explore millions of possible states to find bugs before production. Think property-based testing, but for your entire infrastructure stack. The approach is so thorough they've even used it to find glitches in Super Mario Brothers (seriously).

We explore how deterministic simulation works at the hypervisor level, why traditional integration tests are fundamentally limited, and how you can write maintainable tests that actually find the bugs that matter. If you've ever wished you could test "what happens when everything that can go wrong does go wrong," this conversation shows you how that's finally becoming possible.

---

Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices

Support Developer Voices on YouTube: https://www.youtube.com/@DeveloperVoices/join

Antithesis: https://antithesis.com/

Antithesis testing with Super Mario: https://antithesis.com/blog/sdtalk/

...and with Metroid: https://antithesis.com/blog/2025/metroid/

MongoDB: https://www.mongodb.com/

etcd (Linux Foundation): https://etcd.io/

Facebook Hermit: https://github.com/facebookexperimental/hermit

RR (Record-Replay Debugger): https://rr-project.org/

T-SAN (Thread Sanitizer): https://clang.llvm.org/docs/ThreadSanitizer.html

Toby Bell's Strange Loop Talk on JPL Testing: https://www.youtube.com/results?search_query=toby+bell+strange+loop+jpl

Andy Weir - Project Hail Mary: https://www.goodreads.com/book/show/54493401-project-hail-mary

Andy Weir - The Martian: https://www.goodreads.com/book/show/18007564-the-martian

Antithesis Blog (Nintendo Games Testing): https://antithesis.com/blog/

Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social

Kris on Mastodon: http://mastodon.social/@krisajenkins

Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

  continue reading

101 episodi

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