book / likes
How Big Things Get Done
“It's kind of a random one. I will say I love How Big Things Get Done. I can't pronounce the names.”
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Published podcast speaker
Books, apps, and tools
book / likes
“It's kind of a random one. I will say I love How Big Things Get Done. I can't pronounce the names.”
book / recommends
“Outlive by Peter Attia is fantastic. Another one that's I guess maybe related, I hurt my back so it's not great, Back Mechanic by Stuart McGill is incredible. Shout out to anyone who has hurt lower back. It's for a lay person to read through and figure out how to fix lower back problems. It's kind of a random one. I will say I love How Big Things Get Done. I can't pronounce the names. I think one's... There's Scandinavian, one is. It kind of dissects really large projects through recent-ish history and where they failed and why. And I think it's really interesting for us to think about, especially now in this AI moment where basically all of our at least software systems are going to be changing. So how do we think about approaching what is essentially going to be a very large project? And then, sorry, I'm going to throw in a bonus one, The Undoing Project by Michael Lewis. Matt Velloso recommended it to me, and it's so good.”
book / built
“" I wrote a book called Accelerate, which is the first four years of the research compiled and put together and expanded in a few things.”
book / likes
“One book that I love. It's a little dense, but it's really interesting that I love is How to Measure Anything.”
book / recommends
“We actually had the perfect segue because the book I've recommended absolutely the most is called Good Strategy Bad Strategy by Richard Rumelt. Another one is Designing Your Life by Bill Burnett and Dave Abbott... Dave Evans. And the last one is probably Ender's Game, Orson Scott Card. No comment right now on some of his political commentary, but I used to have extra copies in my office when I was a professor and I would just hand it out to my students. It's a fun, just easy nonsense read, but...”
book / recommends
“We actually had the perfect segue because the book I've recommended absolutely the most is called Good Strategy Bad Strategy by Richard Rumelt. Another one is Designing Your Life by Bill Burnett and Dave Abbott... Dave Evans. And the last one is probably Ender's Game, Orson Scott Card. No comment right now on some of his political commentary, but I used to have extra copies in my office when I was a professor and I would just hand it out to my students. It's a fun, just easy nonsense read, but...”
book / recommends
“We actually had the perfect segue because the book I've recommended absolutely the most is called Good Strategy Bad Strategy by Richard Rumelt. Another one is Designing Your Life by Bill Burnett and Dave Abbott... Dave Evans. And the last one is probably Ender's Game, Orson Scott Card. No comment right now on some of his political commentary, but I used to have extra copies in my office when I was a professor and I would just hand it out to my students. It's a fun, just easy nonsense read, but...”
Claim ledger
32 transcript-backed records
01 / recommendation
“Outlive by Peter Attia is fantastic. Another one that's I guess maybe related, I hurt my back so it's not great, Back Mechanic by Stuart McGill is incredible. Shout out to anyone who has hurt lower back. It's for a lay person to read through and figure out how to fix lower back problems. It's kind of a random one. I will say I love How Big Things Get Done. I can't pronounce the names. I think one's... There's Scandinavian, one is. It kind of dissects really large projects through recent-ish history and where they failed and why. And I think it's really interesting for us to think about, especially now in this AI moment where basically all of our at least software systems are going to be changing. So how do we think about approaching what is essentially going to be a very large project? And then, sorry, I'm going to throw in a bonus one, The Undoing Project by Michael Lewis. Matt Velloso recommended it to me, and it's so good.”
02 / recommendation
“I will say I love How Big Things Get Done. I can't pronounce the names. I think one's...”
03 / recommendation
“It's kind of a random one. I will say I love How Big Things Get Done. I can't pronounce the names.”
04 / commitment
“We can look at risk reduction, but the gains really are there. I will mention that it tends to follow something like the J-curve.”
05 / commitment
“I will say, I also wrote this with Abi Noda who has just... of DX. He has incredible experience in the space.”
06 / evaluation
“I had a Calabrian. That was the best. Happy devs make happy code. They write better programs, they do better work, they're better team members and collaborators.”
07 / commitment
“I will say if it is a prescriptive metric, it needs to be used only in the way it was prescribed.”
08 / evaluation
“It helps us with market share, it helps us attract and retain customers, it helps us do all of these things. And I think DevEx is important because it enables all of that software creation, it enables all of that problem solving.”
09 / recommendation
“DevEx is developer experience. And when we think about developer experience, we're really talking about what it's like to build software, day to day, for a developer.”
10 / evaluation
“Because they were so systematic about it upfront, they're much closer to something that looks like production code.”
11 / prediction
“We're still figuring out what the best flow state and cognitive requirements are for people in this because, to your point, sometimes we're getting interrupted all the time.”
12 / evaluation
“I think if we made the best decision we could at the time with the information that we had available, then it is what it is.”
13 / recommendation
“Now that our attention has to focus on things at certain times and it's broken up from how we used to do it, I think there's some real opportunity there to, not just rethink workflows, but rethink how we structure our days and how we structure our work.”
14 / evaluation
“Because it feels like it's just another internal project that isn't going to matter or that isn't going to get celebrated, but it has these huge upside potential returns for the business.”
15 / evaluation
“Because implied in that is feedback loops, right, because you used to kind of get feedback from customers. But we can't just use that blindly now when we're using AI, as an example, because we have feedback loops much earlier and not even just at the local build and test phase.”
16 / prediction
“If that's all you're looking at, it's not going to be sufficient anymore because AI has now changed the way we think about feedback loops.”
17 / recommendation
“I think there are a lot of ways that we can pull in AI tools to help us refine our strategy, refine our message, think about the experimentation methods or targets of experimentation, or think about our total addressable market, but we need to have that strategy and plan fairly well aligned or at least have two or three alternatives that you want to test.”
18 / recommendation
“We actually had the perfect segue because the book I've recommended absolutely the most is called Good Strategy Bad Strategy by Richard Rumelt. Another one is Designing Your Life by Bill Burnett and Dave Abbott... Dave Evans. And the last one is probably Ender's Game, Orson Scott Card. No comment right now on some of his political commentary, but I used to have extra copies in my office when I was a professor and I would just hand it out to my students. It's a fun, just easy nonsense read, but...”
19 / recommendation
“One book that I love. It's a little dense, but it's really interesting that I love is How to Measure Anything.”
20 / commitment
“Now I will say the next category for lead time for changes by the day is if lead time is between a day and a week.”
21 / belief
“I think one of my superpowers and one of the things that I've been working with my teams on doing and kind of teaching them is, and one of the things that's really leveled up our work in general, is making your work incredibly accessible.”
22 / belief
“Like pull request time. And so, sometimes we can think about those, and then I think we added a satisfaction metric.”
23 / recommendation
“We actually had the perfect segue because the book I've recommended absolutely the most is called Good Strategy Bad Strategy by Richard Rumelt.”
24 / recommendation
“Make sure you pick metrics that are intention. And I could say it, but people have a hard time wrapping that around their heads because they kept picking things like number of lines of code, never picked number of lines of code.”
25 / preference
“There's no such thing as not being in the cloud because if you cannot make it through bursting on demand, bursting like magic, sometimes I joke, right, you're not going to make it.”
26 / observation
“Will I have an over-reliance on it? And what we're seeing is that, probably unsurprisingly, people really fundamentally shift the way they work when they work with an AI-enabled tool like GitHub, Copilot, or Tabnine or others because now, instead of just writing code or having a short auto-complete, you spend more time reviewing code than writing code, right.”
27 / evaluation
“We actually had a SaaS offering, so we continued the State of DevOps Report just under the DORA banner, and we had a SaaS offering because so many large companies were like, "I want my own customized measurement, reading, and report.”
28 / commitment
“I also had a master's in accounting because that really helped me make that kind of financial tie and understanding financial statements. And then, after a handful of years kind of walked away from tenure because academia was not convinced that DevOps was a thing, right, that DevOps wasn't real, and State of DevOps Report who I was doing with DORA, DevOps research and assessment in collaboration with Jez Humble and Gene Kim.”
29 / commitment
“" I wrote a book called Accelerate, which is the first four years of the research compiled and put together and expanded in a few things.”
30 / evaluation
“That's also a lie. So I think there are better ways to think about and deal with that and then try to work with it because and I wrote a paper with Mik Kersten on this several years ago on how data from people and data from systems are really important compliments because we can get certain insights from people that we'll never get from systems.”
31 / preference
“If I turn this into a sentence, what do they represent?" And then you want to double check because spurious correlation's one of my favorite websites instead of charts.”
32 / preference
“I will say I write things down because I get asked them so often, and I want to make sure it is broadly applicable or broadly available, I guess.”