Big Technology Podcast - Vibe Coding: Everything You Need To Know — With Amjad Masad

Amjad Masad is the CEO of Replit. Masad joins Big Technology podcast for a frank discussion about vibe coding, or building software via prompt. We discuss all the use cases, whether anyone can do it or whether it's just a tool for already-technical builders, whether vibe coding replaces saas, and what the role of the engineer becomes in the future. Stay tuned for the second half where we discuss whether the AI coding business is sustainable given the costs of delivering the technology.


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The Government Huddle with Brian Chidester - 191: The One with the 2025 Adobe Digital Government Index (DGI)

Amita Prabhu, Amber Lao, and Kaila Cage from Adobe’s Public Sector Digital Strategy Group join the show unpack the inspiration, methodology, and key findings of the report, which benchmarks digital maturity across U.S. state governments. Together we discuss the origins of the DGI and how it evolved from a side project into a strategic benchmarking tool and why the three pillars of digital maturity – customer experience, site performance, and digital self-service – are so vital to digital government maturity. We also discuss why citizen expectations are outpacing government digital improvements—and what states can do about it and the growing influence of AI and ML in service delivery—from chatbots to fraud detection.

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Code Story: Insights from Startup Tech Leaders - S11 E11: Dave Berner, Kinde

Dave Berner grew up in London, and got into coding through music. He used to be the lead singer in metal and hardcore bands. His bands couldn't afford a webmaster, so he learned how to code in order to launch his band's website, along with setting up friend's custom MySpace profiles. Beyond that, he partook in many startups and side projects, loving to build on the internet. Outside of tech, he's married with 3 kids. He mentions his family is a "low tech" family, teaching their kids fundamental education without a screen. The live in Australia, in a sleepy surfer town, though he admits he hasn't learned to surf just yet.

Dave has always been building side hustles, but none of them really got off the ground. What he noticed about the process was that the process of building the infra of an app - the auth, the billing, support, etc. - always took too long. Eventually, he thought that maybe the best product would be something combining these things.

This is the creation story of Kinde.

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The Stack Overflow Podcast - Being unambiguous in what you want: the software engineer in a vibe coding world

Quinn Slack, CEO and co-founder of Sourcegraph, joins the show to dive into the implications of AI coding tools on the software engineering lifecycle. They explore how AI tools are transforming the work of developers from syntax-focused tasks to higher-level design and management roles, and how AI will integrate into enterprise environments. 

Episode notes:

Sourcegraph is building AI-code agents for enterprises to accelerate how companies build software.

Connect with Quinn on LinkedIn, X, and on his website

Today’s shoutout is for user sumek, who won a Populist badge for answering the question How do you search through Vim's command history?.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Big Technology Podcast - Mark Zuckerberg’s Personal Superintelligence, Layoffs and Payoffs, Writing With AI — With M.G. Siegler

M.G. Siegler is the author of Spyglass. He joins Big Technology podcast for the latest of our first Monday of the month discussion about Big Tech strategy and AI. Today we cover Mark Zuckerberg's vision for personal superintelligence and whether it's more of a recruiting play or a real difference in the way the company builds AI. We also cover the massive bets on AI and whether they'll ever pay off, how interlinked big tech is with AI, and whether you should outsource your writing to AI.

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Python Bytes - #443 Patching Multiprocessing

Topics covered in this episode:
Watch on YouTube

About the show

Connect with the hosts

Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too.

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Michael #1: rumdl - A Markdown Linter written in Rust

  • via Owen Lamont
  • Supports toml file config settings
  • Install via uv tool install rumdl.
  • ⚡️ Built for speed with Rust - significantly faster than alternatives
  • 🔍 54 lint rules covering common Markdown issues
  • 🛠️ Automatic fixing with -fix for most rules
  • 📦 Zero dependencies - single binary with no runtime requirements
  • 🔧 Highly configurable with TOML-based config files
  • 🌐 Multiple installation options - Rust, Python, standalone binaries
  • 🐍 Installable via pip for Python users
  • 📏 Modern CLI with detailed error reporting
  • 🔄 CI/CD friendly with non-zero exit code on errors

Brian #2: Coverage 7.10.0: patch

  • Ned Batchelder

  • Actually up to 7.10.2 as of today

  • patch allows coverage to run better when a covered project uses

    • subprocesses
    • os._exit()
    • execv family of functions
  • Looking at subprocess

    • “Coverage works great when you start your program with coverage measurement, but has long had the problem of how to also measure the coverage of sub-processes that your program created. The existing solution had been a complicated two-step process of creating obscure .pth files and setting environment variables. Whole projects appeared on PyPI to handle this for you.”
  • From release notes

    for 7.10.0

Michael #3: aioboto3

  • via Pat Decker
  • Wrapper to use boto3 resources with the aiobotocore async backend
  • aiobotocore allows you to use near enough all of the boto3 client commands in an async manner just by prefixing the command with await.
  • With aioboto3 you can now use the higher level APIs provided by boto3 in an asynchronous manner.

Brian #4: You might not need a Python class

  • Adam Grant
  • This is an important periodic reminder to everyone coming into Python from other languages.
    • Many other languages lean on classes a lot more than we need to in Python
  • Adams suggestions
    • Simple Data Containers: Use Named Tuples or Data Classes
    • Stateless Utility Functions: Just Use Functions
    • Grouping Constants: Use Modules
    • Managing State with Simple Structures: Use Dictionaries or Lists
    • Simple One-off Operations: Use Lambdas or Comprehensions
      • I’ll add “just use functions”
    • Avoiding Complexity: Built-in Libraries
    • When You Actually Need a Class
      • I’ll add
        • You probably don’t
        • If you think you do, ask a friend. Friends don’t let friends create extraneous classes in Python.
        • If you think your case is an exception, it probably isn’t
        • If you think dataclasses aren’t right for you, check out attrs

Extras

Brian:

Michael:

Joke: Default text editor

Big Technology Podcast - Anthropic’s Potential, AI Video Gets Crazy, Market Bubble Approaching?

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) Alex's profile of Anthropic CEO Dario Amodei + extra reporting 2) Are Anthropic's convictions earnest or marketing? 3) Where does Anthropic fit in the broader AI landscape 4) Will one AI company 'win it all' 5) Anthropic is raising at a new, $170 billion valuation 6) OpenAI hits 700 million ChatGPT users 7) Hyped for GPT-5? 8) AI video creation's promise 9) Videos in Google's NotebookLM 10) Is the stock market in a bubble or hitting real returns.

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The Government Huddle with Brian Chidester - Breaking the Huddle: Reframing Resilience in Uncertain Times

Laura Bennett, host of the Coach’s Corner Podcast and a principal at BDL Consulting joins the show for a candid conversation on leadership, resilience, and how to take meaningful steps forward amid uncertainty. Together, we explore what it truly means to be resilient—not just to withstand challenges, but to actively navigate through them and emerge stronger. Laura shares insights from her coaching work and podcast guests, discussing the power of small, intentional steps, emotional detachment, and being selective about what we consume—especially in today’s distraction-heavy environment.

Lex Fridman Podcast - #476 – Jack Weatherford: Genghis Khan and the Mongol Empire

Jack Weatherford is an anthropologist and historian specializing in Genghis Khan and the Mongol Empire.
Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep476-sc
See below for timestamps, and to give feedback, submit questions, contact Lex, etc.

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Genghis Khan and the Making of the Modern World: https://amzn.to/4l45LsY
The Secret History of the Mongol Queens: https://amzn.to/4l22uud
Genghis Khan and the Quest for God: https://amzn.to/4fpOQA4
Emperor of the Seas: Kublai Khan and the Making of China: https://amzn.to/40JEll1

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OUTLINE:
(00:00) – Introduction
(00:44) – Sponsors, Comments, and Reflections
(10:44) – Origin story of Genghis Khan
(52:30) – Early battles & conquests
(1:05:11) – Power
(1:07:33) – Secret History
(1:20:58) – Mongolian steppe
(1:24:16) – Mounted archery and horse-riding
(1:32:36) – Genghis Khan’s army
(1:48:49) – Military tactics and strategy
(2:01:13) – Wars of conquest
(2:05:37) – Dan Carlin
(2:15:37) – Religious freedom
(2:31:24) – Trade and the Silk Road
(2:40:10) – Weapons innovation
(2:41:40) – Kublai Khan and conquering China
(3:23:31) – Fall of the Mongol Empire
(3:50:26) – Genetic legacy
(4:00:20) – Lessons from Genghis Khan
(4:10:36) – Human nature
(4:13:47) – Visiting Mongolia
(4:33:15) – Lex: Dan Carlin
(4:36:06) – Lex: Gaza

PODCAST LINKS:
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Code Story: Insights from Startup Tech Leaders - S11 Bonus: Tiffany Johnson, NMI

Tiffany Johnson is originally from Texas, but grew up in California. At a young age, she was a bit of an adrenaline junkie, partaking in skydiving, snowboarding, wakeboarding and gymnastics. In school, she fell in love with Econ, Mgmt, and Statistics - and eventually, fell into the payment industry by accident. Outside of tech, she has been married for 20 years with 3 kids. Her kids are all snow skiers, though she doesn't hold that against them as a snowboarder.

A few years ago, Tiffany was contacted about a new opportunity at a decades old company in the payments space. This company wanted to bring to market a solution around embedded finance, specifically for SaaS solutions - and Tiffany was the perfect product leader for the role.

This is Tiffany's creation story at NMI.

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