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Greptile has reviewed over 395,000 pull requests across @NVIDIA‘s large, complex codebases, where keeping up with code review was taking a growing share of engineers' time. On one team, the average time to merge went from more than 24 hours to 6 hours.

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Greptile

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38,158 просмотров • 9 дней назад •via X (Twitter)

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Комментарии: 4

Фото профиля NVIDIA AI
NVIDIA AI9 дней назад

@nvidia Huge win for our engineering teams 🙌

Фото профиля Greptile
Greptile9 дней назад

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Фото профиля Elise Tech Ai
Elise Tech Ai8 дней назад

@nvidia Incredible impact from 24h to 6h merge time is a game-changer for engineering velocity!

Фото профиля Aria Tech
Aria Tech8 дней назад

@nvidia 395k PRs reviewed and merge time from 24h to 6h is a game changer

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Greptile has raised $25M to Kill The Bug. The round is led by Benchmark with Eric Vishria joining our board. Today, code is written by humans and a variety of coding agents like Devin, Claude Code, and Cursor. Greptile serves as the independent and universal code review layer. This month alone, Greptile reviewed 500M lines of code for top companies like Brex, Substack, PostHog, Bilt, and even YC’s internal software team, helping prevent 180,000+ bugs. Alongside our Series A - we’re excited to announce Greptile v3 - a brand new agent architecture capable of catching >3x more critical bugs than Greptile v2. Available now to all users. 🧵
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Greptile has raised $25M to Kill The Bug. The round is led by Benchmark with Eric Vishria joining our board. Today, code is written by humans and a variety of coding agents like Devin, Claude Code, and Cursor. Greptile serves as the independent and universal code review layer. This month alone, Greptile reviewed 500M lines of code for top companies like Brex, Substack, PostHog, Bilt, and even YC’s internal software team, helping prevent 180,000+ bugs. Alongside our Series A - we’re excited to announce Greptile v3 - a brand new agent architecture capable of catching >3x more critical bugs than Greptile v2. Available now to all users. 🧵

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The Driller Bot from #Transformers Dark of the Moon was the most complex asset ILM had done for Transformers by that point. It had 70,000 individual parts, over 7x more than Optimus Prime. This sequence where it is crushing the skyscraper took 288 hours per frame to render with all of the reflections and simulations. During the last weekend, ILM used their entire render farm, amounting to 200,000 rendering hours per day which is 22.8 years of rendering time in 24 hours.

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Fun fact: It would take the average PC roughly 138,069,000 hours or about 15,761 years to render Avatar: The Way of Water. Here’s how I worked it out: The average PC in 2024 has 6 cores. The average blade on WetaFXs renderfarm has between 16-64 cores. There is roughly 414,000 frames in the finished film, accounting for half of the film being 48fps and half being 24fps at the final runtime of 192 minutes. Each frame took an average of 20-80 hours to render on WetaFXs blades depending on shot complexity and accounting for the 4K delivery resolution. With that info, we can work out the average: We say that the average Weta blade has 40 cores (average between the 16-64 count). That gives a Weta to PC core ratio of 6.67 We also say that the average render time per frame is 50 hours (average of 20-80) Total render time for Weta: 50 hours x 414,000 frames = 20,700,000 hours To work out how long this would be on the average home PC we must multiply by the core ratio from earlier: 50 hours x 6.67 = 333.5 hours per frame Total render time on a home PC: 333.5 hours x 414,000 frames = 138,069,000 hours, which converted to years is 15,761 DISCLAIMER: This is all an educated guess done for fun based on publicly available technical information about the film and Wetas renderfarm. It does not account for any production optimizations, storage limits etc. The real number could be drastically higher. CREDITS: Video is from WetaFXs YouTube channel:

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