
Will Wilson
CEO of Antithesis, a company focused on deterministic simulation for software testing. Works on creating 'time machines' for distributed systems, enabling developers to find and debug complex failures.
Top 3 podcasts with Will Wilson
Ranked by the Snipd community

84 snips
Sep 4, 2025 • 1h 16min
Building software that survives contact with reality, with Will Wilson
Will Wilson, CEO of Antithesis, dives into the future of software testing with a transformative approach focusing on deterministic simulation. He highlights the innovative 'time machines' his team has developed for debugging complex failures in distributed systems. From discussing the limitations of traditional testing methods to illustrating the evolution of testing with insights from classic games like Super Mario, Will emphasizes the need for robust solutions as AI begins to take the reins on coding, shaping the next era of software reliability.

45 snips
Sep 10, 2025 • 1h 12min
From Unit Tests to Whole Universe Tests (with Will Wilson)
In this engaging discussion, Will Wilson, Co-founder of Antithesis, reveals how their deterministic hypervisor revolutionizes software testing. He explains the limitations of traditional testing, emphasizing the need for thorough property-based testing to catch unexpected bugs. Listeners learn about simulating entire distributed systems and the challenges of achieving determinism. Fascinatingly, they even discovered glitches in Super Mario Brothers while testing! This conversation is a must for anyone wanting to enhance reliability and confidence in their testing processes.

Jun 3, 2025 • 28min
In a deterministic simulation, you can debug with time travel
Will Wilson, Co-founder and CEO of Antithesis, shares his transformative journey from tech skeptic to passionate developer. The conversation dives into deterministic simulation testing, showcasing how it revolutionizes bug detection and enhances developer efficiency. Wilson emphasizes the power of AI in automating tedious debugging tasks and discusses the intricate relationship between simulations and generative AI. He also reveals innovative strategies for managing bugs effectively, ensuring software stability while tackling technical debt.