我们与@nvidia合作已经将近一年了。 我很高兴与大家分享我们合作的更多内容！ --- 一些背景信息： NVIDIA是许多编码代理的早期采用者。 像许多前瞻性团队一样，验证成为了他们的新瓶颈。 他们深刻理解到他们需要独…
我们与@nvidia合作已经将近一年了。 我很高兴与大家分享我们合作的更多内容！ --- 一些背景信息： NVIDIA是许多编码代理的早期采用者。 像许多前瞻性团队一样，验证成为了他们的新瓶颈。 他们深刻理解到他们需要独立的代码验证。 他们选择与@greptile合作有几个原因： - Greptile能够发现diff之外的错误（更改的二阶效应） - Greptile能够深入理解他们庞大且高度专业化的代码库 - Greptile能够执行自定义编码标准 影响： - 捕获了更多的错误，尤其是逻辑错误 - 合并时间最多可减少 80% - 高级工程师和经理的审核工作量大大减少 在此了解更多信息：
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we've been working with @nvidia for nearly a year now. i'm excited to share more about our work together! --- some background: nvidia was an early adopter of many coding agents. like many forward-thinking teams, validation became their new bottleneck. they understood deeply that they needed independent code validation. they chose to partner with @greptile for a few reasons: - greptile's ability to find bugs outside the diff (second order effects of changes) - greptile's ability to deeply understand their large, highly specialized codebase - greptile's ability to enforce custom coding standards the impact: - more bugs caught, especially logic bugs - up to 80% reduction in merge times - far less review load on senior engineers and managers learn more here:
we've been working with @nvidia for nearly a year now. i'm excited to share more about our work together! --- some background: nvidia was an early adopter of many coding agents. like many forward-thinking teams, validation became their new bottleneck. they understood deeply that they needed independent code validation. they chose to partner with @greptile for a few reasons: - greptile's ability to find bugs outside the diff (second order effects of changes) - greptile's ability to deeply understand their large, highly specialized codebase - greptile's ability to enforce custom coding standards the impact: - more bugs caught, especially logic bugs - up to 80% reduction in merge times - far less review load on senior engineers and managers learn more here:
we've been working with @nvidia for nearly a year now. i'm excited to share more about our work together! --- some background: nvidia was an early adopter of many coding agents. like many forward-thinking teams, validation became their new bottleneck. they understood deeply that they needed independent code validation. they chose to partner with @greptile for a few reasons: - greptile's ability to find bugs outside the diff (second order effects of changes) - greptile's ability to deeply understand their large, highly specialized codebase - greptile's ability to enforce custom coding standards the impact: - more bugs caught, especially logic bugs - up to 80% reduction in merge times - far less review load on senior engineers and managers learn more here:
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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