In Silicon Valley’s increasingly crowded AI ecosystem, a familiar set of founders is betting that engineers and product leaders need more than just code generation—they need a system of understanding.
Kayvon Beykpour, Twitter’s former head of product and co-founder of Periscope, on Wednesday announced the launch of Macroscope, an AI-powered platform designed to summarize codebase changes, flag bugs, and deliver real-time insights for developers and product teams.
Macroscope, founded in July 2023 by Beykpour, his longtime collaborator Joe Bernstein, and Rob Bishop, the entrepreneur who previously sold his computer vision startup Magic Pony Technology to Twitter, is positioning itself as what the team calls an “AI-powered understanding engine.” The company, headquartered in San Francisco, has already attracted $40 million in funding, including a $30 million Series A round led by Lightspeed’s Michael Mignano, with backing from Thrive Capital, Adverb, and Google Ventures, according to Tech Crunch.
Register for Tekedia Mini-MBA edition 19 (Feb 9 – May 2, 2026): big discounts for early bird.
Tekedia AI in Business Masterclass opens registrations.
Join Tekedia Capital Syndicate and co-invest in great global startups.
Register for Tekedia AI Lab: From Technical Design to Deployment (next edition begins Jan 24 2026).
Beykpour said the motivation came from lived frustrations during his career. “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,” he told TechCrunch. As Twitter’s product chief, he said much of his time was spent “trying to get a sense for what everyone was doing” among thousands of engineers—a task he described as his “least favorite part of the job.”
How Macroscope Works
Macroscope begins with GitHub integration, giving it access to a customer’s codebase. From there, teams can add optional connections to Slack, Linear, and JIRA. Its system then performs “code walking” using Abstract Syntax Trees (ASTs)—structural representations of programming code—paired with large language models to contextualize how a codebase works.
Engineers can use the platform to:
- Catch bugs in pull requests (PRs)
- Summarize code changes and PRs
- Track how the codebase evolves over time
- Ask research-based natural language questions about the code
Product leaders, meanwhile, gain real-time summaries of updates, productivity metrics, and answers to natural language queries about team priorities. Beykpour highlighted its accessibility: “You can ask natural language questions, regardless of what your technical ability is. This might be very useful if you’re trying to learn about the code base without distracting a senior engineer.”
Competitive Edge in Code Review
While no product matches the full scope of Macroscope’s offering, the company acknowledges competition in the code review market, including tools like CodeRabbit, Cursor Bugbot, Graphite Diamond, and Greptile. In internal benchmarking across 100 real-world bugs, Macroscope said its platform caught 5% more bugs than the next-best tool, while generating 75% fewer comments, results it has publicly documented in a blog post.
The service is priced at $30 per active developer per month (with a five-seat minimum), alongside enterprise options and custom integrations. It requires GitHub Cloud for use. Early adopters include startups and established firms such as XMTP, United Masters, Things, Bilt, Class.com, Seed.com, ParkHub, A24 Labs, and others.
The startup currently employs 20 people.
Macroscope vs. GitHub Copilot and Beyond
Macroscope’s debut adds another dimension to a growing category of AI-powered developer tools that are reshaping workflows. GitHub Copilot, the most widely known entrant, focuses primarily on code completion and generation, acting as an AI “pair programmer.” Its success has driven Microsoft-owned GitHub deeper into the AI productivity race, embedding Copilot into Visual Studio and offering enterprise-grade copilots for project management.
Macroscope, by contrast, aims to go beyond generation by acting as an organizational intelligence layer—tracking, summarizing, and explaining how codebases evolve. Where Copilot might help write a function, Macroscope helps a product lead understand what functions the engineering team delivered this week.
Other competitors are also carving niches. Replit’s Ghostwriter is targeting individual developers with real-time coding assistance. Amazon CodeWhisperer integrates tightly with AWS, suggesting fixes and code snippets tailored to cloud infrastructure. Tools like Cursor are experimenting with AI-native development environments. Each is pursuing a narrower slice of the market, while Macroscope’s founders pitch theirs as a unifying tool for engineers and managers alike.
For Macroscope, that means serving as the connective tissue between GitHub repositories, project management systems, and leadership dashboards. The company’s challenge will be convincing large enterprises—where the pain point of coordination is most acute—that Macroscope can outperform a patchwork of existing tools.