Uploaded June 2025 | Updated September 2026, 2 weeks ago
How has Microsoft changed since its founding in 1975, especially in how it builds tools for developers?
In this episode of The Pragmatic Engineer, I sit down with Scott Guthrie, Executive Vice President of Cloud and AI at Microsoft. Scott has been with the company for 28 years. He built the first prototype of ASP.NET, led the Windows Phone team, led up Azure, and helped shape many of Microsoft’s most important developer platforms.
We talk about Microsoft’s journey from building early dev tools to becoming a top cloud provider—and how it actively worked to win back and grow its developer base.
In this episode, we cover:
• Microsoft’s early years building developer tools
• Why Visual Basic faced resistance from devs back in the day: even though it simplified development at the time
• How .NET helped bring a new generation of server-side developers into Microsoft’s ecosystem
• Why Windows Phone didn’t succeed
• The 90s Microsoft dev stack: docs, debuggers, and more
• How Microsoft Azure went from being the #7 cloud provider to the #2 spot today
• Why Microsoft created VS Code
• How VS Code and open source led to the acquisition of GitHub
• What Scott’s excited about in the future of developer tools and AI
• And much more!
—
Brought to you by:
• Statsig — The unified platform for flags, analytics, experiments, and more statsig.com/pragmatic
• Sinch — Connect with customers at every step of their journey sinch.com/lander/pragmatic
• Modal — The cloud platform for building AI applications modal.com/pragmatic
—
The Pragmatic Engineer deepdives relevant for this episode:
• Microsoft is dogfooding AI dev tools’ future newsletter.pragmaticengineer.com/p/microsoft-ai-dev-tools
• Microsoft’s developer tools roots newsletter.pragmaticengineer.com/p/microsofts-developer-tools-roots
• Why are Cloud Development Environments spiking in popularity, now? newsletter.pragmaticengineer.com/p/cloud-development-environments-why-now
• Engineering career paths at Big Tech and scaleups newsletter.pragmaticengineer.com/p/engineering-career-paths
• How Linux is built with Greg Kroah-Hartma newsletter.pragmaticengineer.com/p/how-linux-is-built-with-greg-kroah
—
Where to find Scott Guthrie:
• X: https://x.com/scottgu
• LinkedIn: linkedin.com/in/guthriescott
Where to find Gergely Orosz:
• X: https://x.com/GergelyOrosz
• LinkedIn: linkedin.com/in/gergelyorosz
• Bluesky: https://bsky.app/profile/gergely.pragmaticengineer.com
• Newsletter and blog: pragmaticengineer.com
—
In this episode, we cover:
(00:00) Intro
(02:25) Microsoft’s early years building developer tools
(06:15) How Microsoft’s developer tools helped Windows succeed
(08:00) Microsoft’s first tools were built to allow less technically savvy people to build things
(11:00) A case for embracing the technology that’s coming
(14:11) Why Microsoft built Visual Studio and .NET
(19:54) Steve Ballmer’s speech about .NET
(22:04) The origins of C# and Anders Hejlsberg’s impact on Microsoft
(25:29) The 90’s Microsoft stack, including documentation, debuggers, and more
(30:17) How productivity has changed over the past 10 years
(32:50) Why Gergely was a fan of Windows Phone—and Scott’s thoughts on why it didn’t last
(36:43) Lessons from working on (and fixing) Azure under Satya Nadella
(42:50) Codeplex and the acquisition of GitHub
(48:52) 2014: Three bold projects to win the hearts of developers
(55:40) What Scott’s excited about in new developer tools and cloud computing
(59:50) Why Scott thinks AI will enhance productivity but create more engineering jobs
—
See the transcript and other references from the episode at newsletter.pragmaticengineer.com/podcast
—
Production and marketing by penname.co/. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com.
How has Microsoft changed since its founding in 1975, especially in how it builds tools for developers?
In this episode of The Pragmatic Engineer, I sit down with Scott Guthrie, Executive Vice President of Cloud and AI at Microsoft. Scott has been with the company for 28 years. He built the first prototype of ASP.NET, led the Windows Phone team, led up Azure, and helped shape many of Microsoft’s most important developer platforms.
We talk about Microsoft’s journey from building early dev tools to becoming a top cloud provider—and how it actively worked to win back and grow its developer base.
In this episode, we cover:
• Microsoft’s early years building developer tools
• Why Visual Basic faced resistance from devs back in the day: even though it simplified development at the time
• How .NET helped bring a new generation of server-side developers into Microsoft’s ecosystem
• Why Windows Phone didn’t succeed
• The 90s Microsoft dev stack: docs, debuggers, and more
• How Microsoft Azure went from being the #7 cloud provider to the #2 spot today
• Why Microsoft created VS Code
• How VS Code and open source led to the acquisition of GitHub
• What Scott’s excited about in the future of developer tools and AI
• And much more!
—
Brought to you by:
• Statsig — The unified platform for flags, analytics, experiments, and more statsig.com/pragmatic
• Sinch — Connect with customers at every step of their journey sinch.com/lander/pragmatic
• Modal — The cloud platform for building AI applications modal.com/pragmatic
—
The Pragmatic Engineer deepdives relevant for this episode:
• Microsoft is dogfooding AI dev tools’ future newsletter.pragmaticengineer.com/p/microsoft-ai-dev-tools
• Microsoft’s developer tools roots newsletter.pragmaticengineer.com/p/microsofts-developer-tools-roots
• Why are Cloud Development Environments spiking in popularity, now? newsletter.pragmaticengineer.com/p/cloud-development-environments-why-now
• Engineering career paths at Big Tech and scaleups newsletter.pragmaticengineer.com/p/engineering-career-paths
• How Linux is built with Greg Kroah-Hartma newsletter.pragmaticengineer.com/p/how-linux-is-built-with-greg-kroah
—
Where to find Scott Guthrie:
• X: https://x.com/scottgu
• LinkedIn: linkedin.com/in/guthriescott
Where to find Gergely Orosz:
• X: https://x.com/GergelyOrosz
• LinkedIn: linkedin.com/in/gergelyorosz
• Bluesky: https://bsky.app/profile/gergely.pragmaticengineer.com
• Newsletter and blog: pragmaticengineer.com
—
In this episode, we cover:
(00:00) Intro
(02:25) Microsoft’s early years building developer tools
(06:15) How Microsoft’s developer tools helped Windows succeed
(08:00) Microsoft’s first tools were built to allow less technically savvy people to build things
(11:00) A case for embracing the technology that’s coming
(14:11) Why Microsoft built Visual Studio and .NET
(19:54) Steve Ballmer’s speech about .NET
(22:04) The origins of C# and Anders Hejlsberg’s impact on Microsoft
(25:29) The 90’s Microsoft stack, including documentation, debuggers, and more
(30:17) How productivity has changed over the past 10 years
(32:50) Why Gergely was a fan of Windows Phone—and Scott’s thoughts on why it didn’t last
(36:43) Lessons from working on (and fixing) Azure under Satya Nadella
(42:50) Codeplex and the acquisition of GitHub
(48:52) 2014: Three bold projects to win the hearts of developers
(55:40) What Scott’s excited about in new developer tools and cloud computing
(59:50) Why Scott thinks AI will enhance productivity but create more engineering jobs
—
See the transcript and other references from the episode at newsletter.pragmaticengineer.com/podcast
—
Production and marketing by penname.co/. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com.



![Building Pi, and what makes self-modifying software so fascinating
Mario Zechner is the creator of Pi, a minimalist, self-modifying AI coding agent, that is the foundation upon which OpenClaw (created by Peter Steinberger) is built. Meanwhile, Armin Ronacher is the creator of Flask, and a longtime user of Pi. The pair are also friends.
I sat down with Mario and Armin for the latest episode of the Pragmatic Engineer Podcast for an interesting conversation about AI and their reservations about it – even though both are heavily invested in building AI-powered tools.
Mario explains why he built Pi, and gives his take on why it has become so popular. Armin walks us through how he uses AI tools, including building a game with Pi, and why he always puts human judgment firmly at the heart of his approach.
We cover the risks of over-automation, the limits of agentic workflows, and why strong engineers with informed judgment still matter. We also get into the challenges of working with code written by non-engineers, and whether open source can withstand a tidal wave of agent-generated code.
—
*Brought to you by our season partners:*
• Statsig — The unified platform for flags, analytics, experiments, and more. http://statsig.com/pragmatic
• Sonar – The makers of SonarQube, the industry standard for automated code review. https://www.sonarsource.com/pragmatic/?utm_medium=paid&utm_source=pragmaticengineer&ut[…]egory=Paid&s_source=Paid%20Other&s_origin=pragmaticengineer
• WorkOS – Everything you need to make your app enterprise ready. https://workos.com/
—
*The Pragmatic Engineer deepdives relevant for this episode:*
• The impact of AI on software engineers in 2026: key trends https://newsletter.pragmaticengineer.com/p/the-impact-of-ai-on-software-engineers-2026
• Cycles of disruption in the tech industry https://newsletter.pragmaticengineer.com/p/cycles-of-disruption-in-the-tech
• The AI engineering stack https://newsletter.pragmaticengineer.com/p/the-ai-engineering-stack
• The creator of OpenClaw: I ship code that I dont read https://newsletter.pragmaticengineer.com/p/the-creator-of-clawd-i-ship-code
• What is inference engineering? Deepdive https://newsletter.pragmaticengineer.com/p/what-is-inference-engineering
—
*Where to find Mario Zechner:*
• X: https://x.com/badlogicgames
• LinkedIn: https://www.linkedin.com/in/mariozechner
• Website: https://mariozechner.at
*Where to find Armin Ronacher:*
• X: https://x.com/mitsuhiko
• LinkedIn: https://www.linkedin.com/in/arminronacher
• Website: https://mitsuhiko.at
• Blog: https://lucumr.pocoo.org
—
*In this episode, we cover:*
(00:00) Intro
(07:30) How Mario, Armin, and Peter Steinberger met
(15:15) How 30 dev teams use AI agents: learnings
(21:50) The importance of judgment
(24:26) Challenges when non-engineers write code
(28:30) Downsides of over-automation
(32:18) Pi
(48:09) OpenClaw + Pi
(50:54) “Clankers”
(57:32) Open source and AI
(1:00:22) Complexity as the enemy
(1:02:50) Building an AI-native startup
(1:11:52) “Slow the F down”
(1:16:40) MCPs vs. CLI
(1:25:03) Predictions and staying up to date
—
See the transcript and other references from the episode at https://newsletter.pragmaticengineer.com/podcast
—
Production and marketing by https://penname.co/. Building Pi, and what makes self-modifying software so fascinating](https://i.ytimg.com/vi/n5f51gtuGHE/mqdefault.jpg)






