Developer uses Bend language to simulate WTA Finals a million times

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A developer explored Bend, a programming language that pairs a Python-like syntax with a claimed focus on speed and parallelism, after encountering it in a social media discussion. Bend's approach has the AI write laws and accompanying proofs that the code follows them, which the developer found promising for careful domains. Initially the developer tried building a payroll app, but found that Bend lacked HTTPS and JSON support needed to connect to a payments API. Instead, they built a simulator for the upcoming WTA Finals using Jeff Sackmann's Tennis Abstract data, running a million simulated tournaments to estimate each player's chances of winning. The project relied on Bend's parallelisation feature, which divides code across CPU cores for simultaneous execution.

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