When the cost of code approaches zero, what does engineering leadership look like?
On this episode of Leaders of Code, Eric Anderson, director of engineering at Intuit, joins Stack Overflow engineering director Ben Matthews to talk about what happens to software teams when AI makes code generation seemingly free.
Eric explains how Intuit rolled out Claude Code across the entire organization, why PMs are now merging their own PRs, and what it means for engineering culture when product/engineering roles start to converge. Eric and Ben unpack the engineering skills that matter most in an AI-first industry and why the work of developing junior talent has gotten harder.
Eric also shares how he personally uses AI to manage his inbox, synthesize specs, and run promotion processes (but why he stopped letting it send emails on his behalf).
Connect with Eric on LinkedIn.
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How to get multiple agents to play nice at scale
SPONSORED BY INTUIT
Chase Roossin, group engineering manager, and Steven Kulesza, staff software engineer, from Intuit join the podcast to chat about what might be the hardest problem in engineering right now: getting multiple AI agents to work together in a complex system. They discuss how automated evals can make agent behaviors more predictable, agent swarms vs. one highly skilled agent, and how customer behavior shaped their technical architecture.
Episode notes
Want to work on complex engineering problems like these? Explore careers at Intuit.
We’ve worked with Intuit on a few other great blogs and podcasts, including Best practices for building LLMs and How Intuit democratizes AI development across teams through reusability.
Connect with Chase on LinkedIn.
Connect with Steven on LinkedIn.
Congrats to Lifejacket badge winner Sean for saving Creating the simplest HTML toggle button? with a great answer.
TRANSCRIPT
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Coding Agents and the Inevitable AI Bubble with Eric Anderson
Eric Anderson, partner at VC firm Scale, talks about why coding agents changed software forever and why the AI bubble can't be avoided. Eric worked on Spot Instances at AWS and data products at Google before becoming a VC. He explains how companies can still compete against Anthropic and OpenAI by staying laser-focused instead of fighting on every front.
Corey and Eric discuss why AWS didn’t kill all startups even when they launched competing products, why the AI bubble can't be avoided when companies go from $1 billion to $7 billion in revenue in one year, and why the best AI products don't scream “AI” everywhere in their marketing.
Show Highlights:
(02:30) Building Spot Instances at AWS
(07:41) Why Coding Agents Changed Everything
(10:35) Agents Doing Code Review Now
(13:53) Competing with Frontier Labs
(17:05) Why AWS Didn’t Kill All Startups
(19:01) Finding the Right Front to Fight On
(22:20) Why the Bubble Is Inevitable
(23:36) AI Pricing Will Eventually Crash
(26:33) Honeycomb’s AI Done Right
(28:04) Where to Find Eric
Links:
Scale: https://www.scalevp.com/
Eric on LinkedIn: https://www.linkedin.com/in/ericmand/
Sponsored by:
duckbillhq.com
Failing fast at scale: Rapid prototyping at Intuit
To learn more about technology or careers at Intuit, visit intuit.com/technology.
Want to read more about rapid prototyping at Intuit?
To connect with Himanshu, find him on LinkedIn.
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Ask dumb questions, embrace mistakes — and other lessons on innovation | Dave Raggio
To launch new initiatives within the confines of a large corporation, you'll need to work with the system, not against it, says "intrapreneur" Dave Raggio. He shares three lessons on innovation he learned the hard way — so you don't have to. (Made in partnership with Intuit)
Hosted on Acast. See acast.com/privacy for more information.
Intuit asked us to delete part of this Decoder episode
Today’s episode, well — it’s a ride. I’m talking to Intuit CEO Sasan Goodarzi, who’s built Intuit into a juggernaut business software company in part through a series of major acquisitions: TurboTax, MailChimp, CreditKarma, and loads more. There’s a lot of good Decoder material there, and we get into it.
But it’s TurboTax, and the company’s tax lobbying efforts to protect it, that really drives a major narrative about Intuit, for better and worse. So you can bet I asked Sasan about all this, and it got a bit contentious. In fact, the company's chief communications officer even demanded we delete a portion of this interview over an exchange with Sasan on TurboTax. Don’t worry — we don’t do that here at The Verge. So expect to hear that section right up top, with the rest of the interview following after.
Links:
Inside TurboTax’s 20-year fight to stop Americans from filing taxes for free| ProPublica
TurboTax deliberately hid free file page from Google Search | ProPublica
TurboTax maker Intuit spent millions in record lobbying blitz | OpenSecrets
FTC: Intuit’s “free” TurboTax ads misled consumers | The Verge
TurboTax isn’t allowed to say it’s ‘free’ anymore | The Verge
Intuit owes you money if it made you pay for TurboTax “free” | The Verge
IRS extends its Free File tax program for five more years | The Verge
IRS Direct File set to expand availability in a dozen new states | IRS
Mint is shutting down, and it’s pushing users toward Credit Karma | The Verge
Intuit Mailchimp CEO Rania Succar on Decoder | Decoder
Ethics Statement | The Verge
Transcript: https://www.theverge.com/e/24037861
Credits:
Decoder is a production of The Verge and part of the Vox Media Podcast Network.
Our producers are Kate Cox and Nick Statt. Our editor is Callie Wright. Our supervising producer is Liam James.
The Decoder music is by Breakmaster Cylinder.
Learn more about your ad choices. Visit podcastchoices.com/adchoices
Building GenAI features in practice with Intuit Mailchimp
Intuit shares more about their generative AI operating system (GenOS) in this Medium blog.
If you want to try out generative AI in MailChimp, sign up here.
Learn more about Intuit technology here.
Many thanks (and a Lifeboat badge) to Dherik for dropping an answer on cURL: how can I return 0 if status is 200?
Connect with Shivang on LinkedIn.
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Inside Intuit's generative AI system, GenOS
Intuit shares more about their generative AI operating system (GenOS) in this Medium blog.
Learn more about Intuit technology here.
Congrats to Lifeboat badge winner Mohsin Naeem for answering the question How can I extract metadata from an MP3 file?
Connect with Merrin on LinkedIn or X.
Connect with Shivang on LinkedIn.
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How chaos engineering preps developers for the ultimate game day
In complex service-oriented architectures, failure can happen in individual servers and containers, then cascade through your system. Good engineering takes into account possible failures. But how do you test whether a solution actually mitigates failures without risking the ire of your customers? That’s where chaos engineering comes in, injecting failures and uncertainty into complex systems so your team can see where your architecture breaks.
On this sponsored episode, our fourth in the series with Intuit, Ben and Ryan chat with Deepthi Panthula, Senior Product Manager, and Shan Anwar, Principal Software Engineer, both of Intuit about how use self-serve chaos engineering tools to control the blast radius of failures, how game day tests and drills keep their systems resilient, and how their investment in open-source software powers their program.
Episode notes:
Sometimes old practices work in new environments. The Intuit team uses Failure Mode Effect Analysis, (FMEA), a procedure developed by the US military in 1949, to ensure that their developers understand possible points of failure before code makes it to production.
The team uses Litmus Chaos to inject failures into their Kubernetes-based system and power their chaos engineering efforts. It’s open source and maintained by Intuit and others.
If you’ve been following this series, you’d know that Intuit is a big fan of open-source software. Special shout out to Argo Workflow, which makes their compute-intensive Kubernetes jobs work much smoother.
Connect on LinkedIn with Deepthi Panthula and Zeeshan (Shan) Anwar.
If you want to see what Stack Overflow users are saying about chaos engineering, check out
Chaos engineering best practice
, asked by
User NingLee
two years ago.
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How Intuit improves security, latency, and development velocity with a service mesh
At an SaaS company like Intuit that has hundreds of services spread out across multiple products, maintaining development velocity at scale means baking some of the features that every service needs into the architecture of their systems. That’s where a service mesh comes in. It automatically adds features like observability, traffic management, and security to every service in the network without adding any code.
In this sponsored episode of the podcast, we talk with Anil Attuluri, principal software engineer, and Yasen Simeonov, senior product manager, both of Intuit, about how their engineering organization uses a service mesh to solve problems, letting their engineers stay focused on writing business logic. Along the way, we discuss how the service mesh keeps all the financial data secure, how it moves network traffic to where it needs to go, and the open source software they’ve written on top of the mesh.
Episode notes:
For those looking to get the same service mesh capabilities as Intuit, check out Istio, a Cloud Native Computing Foundation project.
In order to provide a better security posture for their products, each business case operates on a discrete network. But much of the Istio service mesh needs to discover services across all products. Enter Admiral, their open-sourced solution.
When Intuit deploys a new service version, they can progressively scale the amount of traffic that hits it instead of the old version using Argo Rollouts. It’s better to find a bug in production on 1% of requests than 100%.
If you want to learn more about what Intuit engineering is doing, check out their blog.
Congrats to Great Question badge winner,
HelpMeStackOverflowMyOnlyHope
, for asking
Detect whether input element is focused within ReactJS
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Taming multiple design systems with a single plugin
Any large organization with multiple products faces the challenge of keeping their brand identity unified without denying each product its own charisma. That’s where a design system can help developers avoid reinventing the wheel every time, say, a new button gets created
On this sponsored episode of the podcast, we talk with Demian Borba, Principal Product Manager, and Kelvin Nguyen, Senior Engineering Manager, both of Intuit. We chat about how their design system is evolving into a platform, how AI keeps their brand consistent, and why a design system doesn’t have to solve every use case.
Episode notesTreating a design system as a platform means providing a baseline of tokens—colors, typography, themes—and allowing developers to deviate so long as they use the right tokens.
Alongside a company-wide push towards greater AI usage, Intuit’s design system team is beginning to leverage AI to help developers make better design decisions. As an example, they’re including typeahead functionality to suggest possible solutions to design decisions.
The team is using a Figma plugin to manage a lot of the heavy lifting. Their presentation at Config 2022 built a lot of excitement for what’s possible.
Congrats to RedVelvet, who won a great question badge for The most efficient way to remove first N elements in a list?
Find Kelvin and Demian on Linkedin.
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#104 Co-founder of Intuit, Scott Cook: The Power of Paradigms
Intuit co-founder Scott Cook still remembers the first line of an email he received in 1994 from billg@microsoft.com: “This really is Bill Gates.” Intuit’s personal finance product Quicken had survived being crushed by Microsoft Money, and its new accounting software Quickbooks was thriving as well; instead of competing, Gates wanted to buy Intuit for $1.5 billion and take it worldwide. A deal was struck, hands were shook, but there was just one problem: The U.S. Department of Justice.
In this episode, Scott and Joubin discuss finding happiness in your career, who Scott aspired to emulate when he was a young CEO, recruiting for excellence, the radical decision to make Quicken easy to use, the power of paradigms, pulling out of the death spiral, the “oncoming train” of Microsoft, United States v. Microsoft Corp., stepping back from a leadership role, what Scott learned from his successor Bill Campbell, and investing in Snapchat.
In this episode, we cover:
Allocating your time for both family and work (07:05)
Working with Meg Whitman, Steve Ballmer, and other future stars (11:11)
How Scott recruited his co-founder Tom Proulx, and other key figures at Intuit (15:32)
Why more than two dozen venture capital firms refused to invest in Intuit (24:03)
How Wells Fargo kept Intuit alive at its most desperate hour (33:00)
The impact of Intuit’s struggle on Scott’s personal life, and going direct to consumers (37:45)
Scott’s history with Kleiner Perkins chairman John Doerr (42:34)
Quicken vs. Microsoft Money in an era when Microsoft crushed every competitor (45:31)
Microsoft’s attempt to buy Intuit, and the antitrust lawsuit that sunk it all (54:32)
Stepping down as CEO of Intuit and recruiting the “trillion-dollar coach,” Bill Campbell (01:02:00)
How Scott met Snapchat founder Evan Spiegel and became one of his first investors (01:12:30)
Links:
Connect with JoubinTwitter
LinkedIn
Email: grit@kleinerperkins.com
Learn more about Kleiner Perkins
This episode was edited by Eric Johnson from LightningPod.fm
S16:E6 - What failing technical interviews can teach you ( Farhana Mustafa)
In this episode, we talk all about technical interviews, with Farhana Mustafa, software engineer at Intuit. Farhana gets into the importance of having a support system of other learners when getting her computer science degree, her process for applying for jobs, and what she learned from failing technical interviews.
Show Links
Partner with Dev & CodeNewbie! (sponsor)
What I learned from failing my technical interviews
The HackerRank Interview Preparation Kit
Java
CSS
HTML
Swift
Fizz Buzz
Farhana Mustafa
Farhana Mustafa is a software engineer working on iOS development for Intuit. She has worked with various technologies over the past 3 years, such as web development, chatbots, virtual reality, and mobile development.
Data science for intuitive user experiences
Nhung Ho joins Daniel and Chris to discuss how data science creates insights into financial operations and economic conditions. They delve into topics ranging from predictive forecasting to aid small businesses, to learning about the economic fallout from the COVID-19 Pandemic.
Sponsors:
O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelog
RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative.
Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this!
Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
Featuring:
Nhung Ho – Website, LinkedIn, X
Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X
Show Notes:
Intuit Website
Intuit Blog | Nhung Ho, Director of Data Science
Intuit Blog | How AI Can Help Build Resiliency for Small Businesses in a Global Economic Crisis
Upcoming Events:
Register for upcoming webinars here!
ML Feature Store at Intuit with Srivathsan Canchi - #438
Today we continue our re:Invent series with Srivathsan Canchi, Head of Engineering for the Machine Learning Platform team at Intuit.
As we teased earlier this week, one of the major announcements coming from AWS at re:Invent was the release of the SageMaker Feature Store. To our pleasant surprise, we came to learn that our friends at Intuit are the original architects of this offering and partnered with AWS to productize it at a much broader scale. In our conversation with Srivathsan, we explore the focus areas that are supported by the Intuit machine learning platform across various teams, including QuickBooks and Mint, Turbotax, and Credit Karma, and his thoughts on why companies should be investing in feature stores.
We also discuss why the concept of “feature store” has seemingly exploded in the last year, and how you know when your organization is ready to deploy one. Finally, we dig into the specifics of the feature store, including the popularity of graphQL and why they chose to include it in their pipelines, the similarities (and differences) between the two versions of the store, and much more!
The complete show notes for this episode can be found at twimlai.com/go/438.
Not So Taxing: How Intuit Uses AI to Make Tax Day Easier - Ep. 121
Understanding the U.S. tax code can take years of study — it’s 80,000 pages long. Software company Intuit has decided that it’s a job for AI. Ashok Srivastava, its senior vice president and chief data officer, spoke to AI Podcast host Noah Kravitz about how the company is utilizing machine learning to help customers with taxes and aid small businesses through the financial effects of COVID-19.
How Intuit Uses Deep Learning to Help You with Your Taxes - Ep. 71
Intuit Senior Vice President and Chief Data Officer Ashok Srivastava on how the personal finance giant is using AI to help make us all smarter about our finances.
S5:E2 - What is quality engineering? (Rocio Montes)
You may have heard of quality assurance and testing, but what's quality engineering? Intuit engineer, Rocio Montes, guides us through the world of quality, and shares why she's so passionate about this piece of the product development process. She also shares her own journey of being a quality engineer and how you can get started on the same career path.
Show Links
Partner with Dev & CodeNewbie! (sponsor)
Mocha (JavaScript testing framework)
Chai (BDD/TDD assertion library)
Design for Delight
RSpec
Codeland Conf
Codeland 2019
Rocio Montes
Rocio Montes is a Staff Software Engineer at Intuit. She leads the automation and quality strategy for the consumer open platform team. Outside of Intuit, she is on the leadership team of San Diego's “Girl Develop It” and the Co-founder of “Emar”, a small business whose mission is to connect small businesses in the US who have tech needs with software engineering interns in Peru.