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The Pragmatic Engineer

The Pragmatic Engineer

Written by: Gergely Orosz
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Software engineering at Big Tech and startups, from the inside. Deepdives with experienced engineers and tech professionals who share their hard-earned lessons, interesting stories and advice they have on building software. Especially relevant for software engineers and engineering leaders: useful for those working in tech.

newsletter.pragmaticengineer.comGergely Orosz
Politics & Government
Episodes
  • Context engineering with Dex Horthy
    Jul 15 2026
    Brought to You By:• Antithesis – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages.• Buildkite – CI software built to absorb whatever your coding agents throw at the build queue.• Sentry – application monitoring software considered “not bad” by millions of developers.—Knowing how LLM contexts work and how to work around context limitations – aka “context engineering” – is becoming more important for software engineers working with LLMs. Let’s look into what works and what doesn’t, today.In this episode of The Pragmatic Engineer podcast, I sit down with the CEO and cofounder of HumanLayer, Dex Horthy, who coined the term “context engineering”. We discuss the ideas behind this context engineering, harness engineering, loop engineering, software factories, why his approach to AI-assisted software development has evolved, and how HumanLayer is helping engineering teams automate more of the software development lifecycle without sacrificing code quality.—Timestamps00:00 Intro03:35 Dex’s path into tech05:36 Early work in platform engineering07:30 Replicated13:26 Metalytics14:38 12-factor agents20:29 Context engineering25:40 Harness engineering28:13 Context overload32:47 Loop engineering46:36 Software factories before and after AI52:35 Automation limits57:20 Three options for automating1:01:02 RPI framework1:06:18 Intentional compaction1:13:50 Token harder vs. token smarter1:18:46 AI slop1:21:17 HumanLayer1:31:11 Book recommendation—The Pragmatic Engineer deepdives relevant for this episode:• How Uber uses AI for development: inside look• Are AI agents actually slowing us down?• AI Tooling for Software Engineers in 2026• Vibe Coding as a software engineer• How Claude Code is built• AI Engineering in the real world• The AI Engineering Stack• How AI-assisted coding will change software engineering: hard truths• The creator of OpenClaw: "I ship code I don't read"—Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com. Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe
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    1 hr and 32 mins
  • The Pragmatic Engineer AMA
    Jul 8 2026

    Brought to You By:

    Antithesis – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages.

    In this special “ask me anything” episode of Pragmatic Engineer podcast, I am in the hot seat facing questions sent in by subscribers that are read out by guest Volodymyr Giginiak, CTO and cofounder of Wordsmith AI, a legal tech startup (note: I’m an investor).

    I tackle your questions on the software industry, AI, hiring, engineering organizations, career growth, the business model of the Pragmatic Engineer, and more. We also discuss where software engineering is headed, and I offer advice on some specific situations. Thanks to everyone who sent questions!

    Timestamps

    00:00 Intro

    01:56 From Uber to writing

    09:22 AI-native SDLC

    14:00 AI and hiring

    19:06 Engineers currently thriving

    22:18 Junior roles

    24:44 Meta’s war mode

    27:54 AI at Big Tech vs. startups

    36:46 Tech debt

    41:36 Types of engineering managers

    44:40 Measuring AI productivity

    48:30 The value of CS degrees

    50:53 AI at Pragmatic Engineer

    56:09 Future-proofing your career

    1:01:36 The EU job market

    1:03:55 Making money as a creator

    1:08:20 What’s next for The Pragmatic Engineer

    1:09:27 Bunq and Pollen

    1:13:38 Spotting trends

    1:14:33 Book updates

    1:15:20 Favorite books & tech products

    1:17:13 What won’t change in engineering

    The Pragmatic Engineer deepdives relevant for this episode:

    State of the software engineering job market in 2026

    The impact of AI on software engineers in 2026: key trends.

    How 10 tech companies choose the next generation of dev tools

    The reality of tech interviews

    Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com.



    Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe
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    1 hr and 18 mins
  • How Kent Beck shapes the software engineering industry
    Jul 1 2026

    Brought to You By:

    Antithesis – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages.

    turbopuffer – a vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable.

    WorkOS – everything you need to make your app enterprise ready.

    Few have made as big an impact on software engineering as this week’s guest on the Pragmatic Engineer podcast, Kent Beck. He created Extreme Programming, pioneered test-driven development (TDD), co-created JUnit, and is one of the authors of the famous ‘Agile Manifesto’. But these days, he's re-examining many ideas for the age of AI, and says we’re failing to accumulate trust during this new era at the same high rate as new code is being accumulated.

    In this episode of the Pragmatic Engineer podcast, Kent and I dig into his journey from discovering Smalltalk in the early days of personal computing, to helping define modern software engineering practices. We explore the origins of TDD, design patterns, Extreme Programming, and Agile – along with some lessons learned at Apple and Facebook.

    Kent explains why he believes software engineering is about far more than writing code, why no one yet knows exactly how engineers should work alongside AI agents, and how his "explore, expand, extract" framework can help engineers navigate major technology shifts.

    Timestamps

    00:00 Intro

    03:47 Human engineers aren’t going away

    08:00 Kent's path into tech

    13:50 Undergraduate and graduate studies

    17:21 Kent’s first programming job

    18:54 The rise and fall of Smalltalk

    27:04 Working with Ward Cunningham

    37:36 Design patterns

    44:05 Working at Apple

    51:08 CRC Cards

    59:29 Testing tools in the language

    1:04:22 The C3 project with Martin Fowler

    1:09:54 Extreme Programming

    1:16:25 Developing TDD

    1:25:07 Writing the Agile Manifesto

    1:30:00 Agile’s impact

    1:32:40 Agile’s downside

    1:37:32 The Dotcom Bust

    1:44:30 Lessons from working at Facebook

    1:59:44 Kent’s ‘Good to Great’ program at Facebook

    2:06:07 Soft skills engineers need to learn

    2:09:30 AI and the challenges of acceleration

    2:15:53 Explore, expand, extract

    2:22:33 What Kent is excited about

    The Pragmatic Engineer deepdives relevant for this episode:

    • Measuring developer productivity? A response to McKinsey – co-written with Kent Beck

    • TDD, AI agents and coding with Kent Beck

    • Paying down tech debt

    • The past and future of modern backend practices

    Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com.



    Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe
    Show More Show Less
    2 hrs and 27 mins
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