TechCrunch News 09月18日
Macroscope:AI驱动的代码理解引擎
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Periscope创始人团队推出新公司Macroscope,专注于AI技术,旨在为开发者和产品领导者提供代码更新摘要和bug检测等服务。该AI系统通过分析代码库,利用抽象语法树(AST)和大型语言模型(LLMs),帮助工程师节省时间,减少会议干扰,并能发现代码中的bug、总结代码变更。产品领导者也可借此了解产品更新、洞察生产力,并以自然语言查询代码和开发活动。Macroscope旨在解决大型团队中信息同步的痛点,并提供比同类工具更优的bug检测和更少的评论生成。

🚀 **AI驱动的代码理解引擎**:Macroscope是一款由AI驱动的理解引擎,旨在为开发者和产品领导者提供服务。它通过分析代码库,总结代码更新,并能发现bug,从而帮助工程师节省宝贵时间,减少不必要的会议。

💡 **核心技术与工作流程**:Macroscope利用抽象语法树(AST)来深入理解代码结构,并结合大型语言模型(LLMs)进行分析。其GitHub应用能够访问代码库,并可选择集成Slack、Linear和JIRA等工具,实现对代码变化的全面追踪和分析。

🎯 **多场景应用价值**:对于工程师,Macroscope能发现PR中的bug、总结PR内容、概览代码库变化,并支持基于代码的研究性问题查询。对于产品领导者,它提供实时产品更新摘要、生产力洞察、关于产品和开发活动的自然语言问答,帮助优化工程资源分配。

🏆 **性能与市场定位**:Macroscope在检测bug方面表现优于现有工具,并生成更少的评论。它以每月每活跃开发者30美元的价格提供服务,并为大型企业提供定制化方案,已获得包括XMTP在内的多家公司的试用。

💰 **融资与团队**:Macroscope是一家拥有20人团队的旧金山初创公司,已获得3000万美元的A轮融资,由Lightspeed领投,总融资额达4000万美元。

The founders who previously sold their livestreaming video startup Periscope to Twitter are back with a new startup — and no surprise, it’s an AI-focused company this time around.

On Wednesday, former Twitter head of product Kayvon Beykpour announced the launch of Macroscope, an AI system aimed at developers and product leaders that summarizes updates to a codebase and catches bugs, among other things.

The startup was co-founded by Beykpour, now Macroscope CEO, in July 2023, along with childhood friend Joe Bernstein, also previously of Periscope and their prior enterprise startup, Terriblyclever, which was sold to Blackboard in 2009. They’re joined by co-founder Rob Bishop, who sold his computer vision and machine learning company, Magic Pony Technology, to Twitter in 2016.

The company describes its product as an “AI-powered understanding engine” that’s designed to save engineers time, and the type of product the founders “wish we’d had” when building their earlier companies.

Today, engineers use a variety of tools to keep track of work, like JIRA, Linear, and spreadsheets, and spend too much time in meetings instead of building, Beykpour says. Macroscope is designed to fix this.

Image Credits:Macroscope

“I feel like I lived this pain…at every company I worked at, whether it was the startups that we built ourselves, or whether it was enormous public companies like Twitter, we sort of lived this problem the hard way,” Beykpour told TechCrunch in an interview.

“Trying to get a sense for what everyone was doing, especially when you have an organization like Twitter with thousands of engineers, it was literally most of my job — and my least favorite part of my job as the head of product at Twitter,” he said.

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Image Credits:Macroscope

To address this issue and others, Macroscope’s customers first install its GitHub app, which gives the company access to the code base. They can then optionally install other integrations, like a Slack app, Linear app, and JIRA app. The software then does the rest of the work by analyzing the code and noting what’s changing.

This involves a process called code walking, which uses the Abstract Syntax Tree (AST) — a structural representation of programming code — to gather important context about how the customer’s code base works. That knowledge is then used in conjunction with large language models (LLMs).

Image Credits:Macroscope

Once up and running, engineers can use Macroscope to discover bugs to fix in their PRs (pull requests), summarize their PRs, get a summary of how the codebase is changing, and ask code research-based questions. Meanwhile, product leaders could use the software to get real-time summaries of product updates, productivity insights, answers to natural language questions about the product, code, or development activity, and more. This can help them determine what teams are prioritizing in terms of engineering allocation.

Image Credits:Macroscope

“You can ask natural language questions, regardless of what your technical ability is,” notes Beykpour. “This might be very useful if you’re trying to learn about the code base without distracting a senior engineer on your team. Very valuable. If you’re a CEO and you want to understand literally, ‘what did we get done this week?’, your options are either ask Macroscope or go distract some teammates,” he adds. “One is a lot more expensive than the other.”

Image Credits:Macroscope

While there isn’t a product that offers a direct competitor to all that Macroscope offers, it does compete in the code review space — where developers examine and test code changes before they’re implemented — with tools like CodeRabbit, Cursor Bugbot, Graphite Diamond, Greptile, and others. However, the company said when it ran its own internal benchmark of over 100 real-world bugs, its product caught 5% more bugs than the next-best tool. It also generated 75% fewer comments. (It shared its benchmark publicly in a blog post.)

Image Credits:Macroscope
Image Credits:Macroscope

The software costs $30 per active developer per month, starting at five seats, and offers enterprise pricing and custom integrations for larger businesses. It requires the use of GitHub Cloud. Ahead of its launch, a number of startups and larger firms have been using the product, including XMTP, Things, United Masters, Bilt, Class.com, Seed.com, ParkHub, A24 Labs, and others.

The San Francisco-based startup has a team of 20 and is backed by $30 million in Series A funding, which was closed in July and led by Michael Mignano at Lightspeed. Other investors include Adverb, Thrive Capital, and Google Ventures. To date, Macroscope has raised $40 million total.

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Macroscope AI 代码分析 软件开发 初创公司 Macroscope AI Code Analysis Software Development Startup
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