When AI Writes All the Code, Who's Watching? with Kayvon Beykpour, Cofounder & CEO of Macroscope
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In this episode of Modern CTO, host Joel Beasley speaks with Kayvon Beykpour, co-founder and CEO of Macroscope, about the transformative impact of AI on software development. Beykpour shares how Macroscope addresses three critical pain points in modern engineering teams: real-time visibility into what's happening across codebases, automated code review with superior signal-to-noise ratios, and programmable agents that understand the full software development lifecycle. Drawing from his experience as former head of product at Twitter and founder of Periscope, Beykpour explains that Macroscope was born from personal frustration with inefficient, lossy communication in large organizations. He argues that AI tools are now so advanced that they can outperform humans in finding bugs, freeing engineers to focus on higher-leverage decisions like architectural integrity and product prioritization. However, he cautions that true end-to-end automation—like full usability testing and feature validation—remains out of reach, meaning human oversight is still essential for mature software organizations. The conversation also explores the broader implications of AI-driven efficiency, including workforce restructuring at large companies and the need for organizational 'jolts' to embrace change. Beykpour emphasizes that companies that fail to adopt these new ways of working risk being left behind, and he shares powerful personal anecdotes of building complex tools in hours using AI, not days or weeks.
AI code review tools now outperform humans in finding bugs, allowing engineers to focus on higher-leverage decisions like architecture and product fit.
True end-to-end automation requires AI to not only review code but also perform full usability testing and validate customer-facing outcomes.
The most effective AI adoption happens when teams treat PRs as 'change requests' rather than just code merges, with humans focused on strategic judgment.
Organizations must actively jolt themselves—through disruption or crisis—to adopt AI efficiency, as large companies are naturally resistant to change.
AI enables rapid prototyping and tool-building (e.g., replacing Retool apps in hours), drastically reducing time-to-market for internal tools.
…and 2 more takeaways available in PodZeus
Introducing Macroscope: The AI Command Center for Software Teams
“We just wanted to use a product that we couldn't find existing in the world. And so we built it ourselves.”
The Birth of Macroscope: From Twitter Frustration to AI Solution
“I would have no idea whether the 1200 engineers at Twitter at the time were actually working on those things.”
AI Code Review: From Skepticism to Trust and Superiority
“In my mind, in any sort of reputable software team that has actually tried these tools, humans are actually terrible at finding bugs.”
The Future of Autonomous Development: Can AI Fully Replace Humans?
“If the agent or some agent can't accomplish all those things, they're still human in the loop.”
The Human Cost and Organizational Shifts of AI Efficiency
Beykpour discusses how AI-driven efficiency is forcing large companies to reevaluate their size and structure, calling for disruptive 'jolts' to overcome organizational inertia and embrace leaner, faster teams.
“We just wanted to use a product that we couldn't find existing in the world. And so we built it ourselves.”
“In my mind, in any sort of reputable software team that has actually tried these tools, humans are actually terrible at finding bugs.”
“It's not like a nice to have like if you as a company are not embracing this new way of working, like you are cooked.”
Host
Guest
Kayvon Beykpour
person
Macroscope
organization
organization
Periscope
organization
Retool
organization
Grok
other
X
organization
Brett Taylor
person
Elon Musk
person
Gemini
other
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