When AI Writes All the Code, Who's Watching? with Kayvon Beykpour, Cofounder & CEO of Macroscope

Modern CTO47mApril 13, 2026

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AI-Generated Summary

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.

Key Takeaways
1

AI code review tools now outperform humans in finding bugs, allowing engineers to focus on higher-leverage decisions like architecture and product fit.

2

True end-to-end automation requires AI to not only review code but also perform full usability testing and validate customer-facing outcomes.

3

The most effective AI adoption happens when teams treat PRs as 'change requests' rather than just code merges, with humans focused on strategic judgment.

4

Organizations must actively jolt themselves—through disruption or crisis—to adopt AI efficiency, as large companies are naturally resistant to change.

5

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

Chapters
0:00
5 min

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.

Highlight
5:00
10 min

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.

Highlight
15:00
15 min

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.

Highlight
30:00
15 min

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.

Highlight
45:00
5 min

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.

High-Impact Quotes
We just wanted to use a product that we couldn't find existing in the world. And so we built it ourselves.
Kayvon Beykpour4:38
Viral: 90.0
In my mind, in any sort of reputable software team that has actually tried these tools, humans are actually terrible at finding bugs.
Kayvon Beykpour11:26
Viral: 85.0
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.
Kayvon Beykpour29:50
Viral: 85.0
Speakers

Host

Joel Beasley

Guest

Kayvon Beykpour
Topics Discussed
AI Code Review95%Software Development Automation90%AI Agent Development85%Engineering Team Productivity85%Organizational Change and Efficiency80%Leadership and Communication75%Startup Founding and Personal Motivation70%Legacy System Modernization65%
People & Brands

Kayvon Beykpour

person

18xPositive

Macroscope

organization

15xPositive

Twitter

organization

14xNeutral

Periscope

organization

12xPositive

Retool

organization

4xMixed

Grok

other

3xPositive

X

organization

3xNeutral

Brett Taylor

person

3xPositive

Elon Musk

person

2xPositive

Gemini

other

2xPositive

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