<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:googleplay="http://www.google.com/schemas/play-podcasts/1.0" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:psc="http://podlove.org/simple-chapters" xmlns:media="http://search.yahoo.com/mrss/" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
<generator >Hubhopper(https://hubhopper.com)</generator>
<title >21century.tech Podcast</title>
<itunes:type >episodic</itunes:type>
<itunes:summary ><![CDATA[Welcome to the 21century.tech Podcast https://21century.tech/, where we discuss AI-native software development, modern engineering practices, and the future of building digital products.
This podcast is designed for founders, technology leaders, and engineers who want to understand how AI is changing software development, team structures, product delivery, and the way modern technology companies operate.]]></itunes:summary>
<description ><![CDATA[Welcome to the 21century.tech Podcast https://21century.tech/, where we discuss AI-native software development, modern engineering practices, and the future of building digital products.
This podcast is designed for founders, technology leaders, and engineers who want to understand how AI is changing software development, team structures, product delivery, and the way modern technology companies operate.]]></description>
<image ><title >21century.tech Podcast</title>
<link ></link>
<url >https://files.hubhopper.com/podcast/484406/1400x1400/21centurytech-podcast.jpeg</url>
</image>
<itunes:image  href='https://files.hubhopper.com/podcast/484406/1400x1400/21centurytech-podcast.jpeg' ></itunes:image>
<googleplay:image  href='https://files.hubhopper.com/podcast/484406/1400x1400/21centurytech-podcast.jpeg' ></googleplay:image>
<language >en</language>
<copyright >Copyright 2026 21century.tech</copyright>
<itunes:author >21century.tech</itunes:author>
<googleplay:author >21century.tech</googleplay:author>
<itunes:owner ><itunes:name >21century.tech</itunes:name>
<itunes:email >olgaolgitta1@gmail.com</itunes:email>
</itunes:owner>
<itunes:category  text='Business' ></itunes:category>
<link >https://hubhopper.com/podcast/21centurytech-podcast/484406</link>
<itunes:guid >https://hubhopper.com/podcast/21centurytech-podcast/484406</itunes:guid>
<podcast:guid >https://hubhopper.com/podcast/21centurytech-podcast/484406</podcast:guid>
<itunes:explicit >no</itunes:explicit>
<podcast:episode >1</podcast:episode>
<podcast:locked >no</podcast:locked>
<item>
<title >The End of Large Development Teams?</title>
<link >https://listen.hubhopper.com/episode/the-end-of-large-development-teams-1782180140/33018589</link>
<guid >077b1dd2-937b-40a0-b7d2-a99008bae73f</guid>
<podcast:guid >https://hubhopper.com/podcast/21centurytech-podcast/484406</podcast:guid>
<pubDate >Tue, 23 Jun 2026 01:57:40 +0000</pubDate>
<itunes:summary ><![CDATA[Welcome to the 21century.tech Podcast https://21century.tech/, where we explore software development, AI, product building, and how engineering teams are changing in an AI-native world.

Today, we\'re discussing a question that has become impossible to ignore:

Are we witnessing the end of large development teams?

For years, the standard approach to building software was straightforward. As products grew, teams grew with them. More features meant more developers. More projects meant more hiring.

But that assumption is starting to change.

AI is dramatically increasing how much a single engineer can accomplish. Tasks that once consumed days of work can now be completed in hours. Boilerplate code, documentation, test generation, refactoring, and repetitive implementation are increasingly handled with AI assistance.

This doesn\'t mean software builds itself.

Far from it.

Architecture decisions still matter. Product requirements still need interpretation. Security, scalability, and business logic still require human judgment.

But the amount of effort needed to turn an idea into working software is changing.

And that\'s creating an interesting shift.

Companies are beginning to ask whether the goal should be building bigger teams or building more effective teams.

In many cases, a small group of experienced engineers equipped with the right tools can move faster than much larger teams operating with traditional workflows.

The advantage isn\'t simply writing code faster.

It\'s reducing delays.

Fewer handoffs. Fewer communication layers. Faster feedback loops. Faster decision-making.

As a result, team size may become a less important metric than team leverage.

At the same time, software itself is becoming more ambitious.

As development becomes more efficient, businesses can experiment more, launch faster, and pursue ideas that previously wouldn\'t have justified large engineering investments.

So perhaps the future isn\'t about replacing large teams.

Perhaps it\'s about changing when large teams are actually necessary.

If there\'s one thing to take away from today\'s discussion, it\'s this:

AI may not eliminate engineering teams, but it is changing the economics of software development. The companies that adapt fastest will likely focus less on headcount and more on how effectively their engineers can create value.

Thanks for listening to the 21century.tech Podcast.

If you\'d like to continue the conversation about AI-native development, engineering productivity, and the future of software teams, feel free to reach out to us via email kirill@oski.site.]]></itunes:summary>
<description ><![CDATA[Welcome to the 21century.tech Podcast https://21century.tech/, where we explore software development, AI, product building, and how engineering teams are changing in an AI-native world.

Today, we\'re discussing a question that has become impossible to ignore:

Are we witnessing the end of large development teams?

For years, the standard approach to building software was straightforward. As products grew, teams grew with them. More features meant more developers. More projects meant more hiring.

But that assumption is starting to change.

AI is dramatically increasing how much a single engineer can accomplish. Tasks that once consumed days of work can now be completed in hours. Boilerplate code, documentation, test generation, refactoring, and repetitive implementation are increasingly handled with AI assistance.

This doesn\'t mean software builds itself.

Far from it.

Architecture decisions still matter. Product requirements still need interpretation. Security, scalability, and business logic still require human judgment.

But the amount of effort needed to turn an idea into working software is changing.

And that\'s creating an interesting shift.

Companies are beginning to ask whether the goal should be building bigger teams or building more effective teams.

In many cases, a small group of experienced engineers equipped with the right tools can move faster than much larger teams operating with traditional workflows.

The advantage isn\'t simply writing code faster.

It\'s reducing delays.

Fewer handoffs. Fewer communication layers. Faster feedback loops. Faster decision-making.

As a result, team size may become a less important metric than team leverage.

At the same time, software itself is becoming more ambitious.

As development becomes more efficient, businesses can experiment more, launch faster, and pursue ideas that previously wouldn\'t have justified large engineering investments.

So perhaps the future isn\'t about replacing large teams.

Perhaps it\'s about changing when large teams are actually necessary.

If there\'s one thing to take away from today\'s discussion, it\'s this:

AI may not eliminate engineering teams, but it is changing the economics of software development. The companies that adapt fastest will likely focus less on headcount and more on how effectively their engineers can create value.

Thanks for listening to the 21century.tech Podcast.

If you\'d like to continue the conversation about AI-native development, engineering productivity, and the future of software teams, feel free to reach out to us via email kirill@oski.site.]]></description>
<enclosure  url='https://play.hubhopper.com/86a97c0aaa707c9e55844bdd7f17bfa8.mp3?s=rss-feed'  length='3130000'  type='audio/mpeg' ></enclosure>
<itunes:duration >204</itunes:duration>
<author >olgaolgitta1@gmail.com</author>
<itunes:author >21century.tech</itunes:author>
<itunes:image  href='https://files.hubhopper.com/podcast/484406/episode/33018589/the-end-of-large-development-teams.jpg'  url='https://files.hubhopper.com/podcast/484406/episode/33018589/the-end-of-large-development-teams.jpg' ></itunes:image>
<itunes:episodeType >full</itunes:episodeType>
</item>
</channel>
</rss>