Podcasts about supersets

Kill your vices, sculpt your physique, and become unstoppable with my FREE 6-Step Daily Domination Blueprint. Carbohydrates can be a complex topic.  Should you go low carb? What about carb cycling?  Does timing matter? The reality is, the answers will vary depending on where you are and what your goals are... Let's break it down in today's episode. Supersets are great if done correctly... Here's how. [0:26] Should you train to failure? [5:32] 5 ways to eliminate bloating. [7:23] Does the sugar content in juice matter? [14:28] Should you eat starchy carbs on non-training days? [15:13] Are you overtraining? [19:07] Does carb timing matter? [23:23] How do you deal with elbow pain when pressing? [26:24] Sponsors Marek Health: Take the path to better health, optimized performance, and increased longevity at marekhealth.com - code JAY at checkout for 10% off. AG1: Improve your gut health and immunity, and boost your energy and recovery at drinkag1.com/jay. Want to work with me to transform your body and mind? Go here now.

The new AIEWF website is live! CFPs close in 2 days and we will run our first New Engineer Orientation this weekend, get your tickets booked ASAP as they -will- sell out. Take the AI Engineering Survey and get >$2k in credits and free AIE WF tickets!One of the central tensions in the agents industry is that even while there are major decacorn agent labs like Sierra, Decagon, Notion and Cursor being built up, it is also true that it has never been easier to DIY agents, with a plethora of agent frameworks like LangGraph and Pydantic and Flue, and managed agents from Anthropic and Gemini and Amazon. There has been a wave of companies building their own background agents from Shopify to Stripe to Paradigm to Razorpay, and even Cognition's friends Ramp have built their own coding agent with other friend Modal.You'd think Cognition might feel a bit threatened, but they're not - even after all this, they were way oversubscribed for the $1B Series D they just announced:Walden Yan, coiner of context engineering and Chief Product Officer/Cofounder of Cognition, invited OpenInspect's Cole Murray to talk about why the Devin is in the Details.Full conversation live on the pod today: In retrospect, async agents were the most AGI pilled bet you could make in 2024 - the models weren't good enough yet to vibecode, and people didn't trust AI enough to let it rip, nobody (including early Cognition) was sure about the form factors. Now it is obvious:* The first wave of AI coding tools made the developer faster but remain heavily in the loop. Copilor and Cursor's tab autocomplete are prime examples However, the workflow was still heavily centered around and bottlenecked by the developer's local workflow: a developer in an IDE, watching the model, accepting or rejecting changes, and pushing code one interaction at a time.* The second wave was local agents: Claude Code, Windsurf, Cursor's agents pane: first one and increasingly many terminals all running concurrently.* The current Age of Async Agents points to a different future focused more on agent orchestration which drives end-to-end development.According to previous guest Steve Yegge, there are finer-grained 8 levels to agent adoption, but we have collapsed it into three.As Cursor's Michael Truell put it in The third era of AI software development:Cursor is no longer primarily about writing code. It is about helping developers build the factory that creates their software. This factory is made up of fleets of agents that they interact with as teammates: providing initial direction, equipping them with the tools to work independently, and reviewing their work.The agent should not sit solely inside the developer's flow. It should be setup to work in the background so that you can give it a task, a repo, a machine, a shell, a browser, tests, memory, and review loops to go do the work somewhere else.In less than a year, the sentiment has shifted from avoiding multi-agent systems:to suggesting approaches that actually work:From coining “context engineering” to building the infrastructure behind Devin's 7x PR growth and jump from 16% to 80% of commits across Cognition repos, Walden Yan has had a front-row seat to the background-agent shift. In this episode, Cognition co-founder and CPO Walden Yan joins swyx alongside Cole Murray, creator of OpenInspect, to unpack why everyone is building their own Devin, what changed after the December 2025 model inflection, and why “spec to pull request” is now becoming a real production workflow.We go deep on the architecture of background agents: harness-in-the-box vs out-of-the-box, why Devin separates the “brain” from the machine, why repo setup is still one of the hardest problems, why Docker is not always enough, and how full VMs, snapshots, scoped secrets, GitHub bots, Slack integrations, and video-based testing all fit together. Walden and Cole also dig into memory, MCP limitations, multi-agent orchestration, AI code review, SRE auto-triage, PMs shipping code from Slack, Windsurf 2.0, hybrid frontier/sub-frontier systems, and the real failure mode of uncontrolled vibe coding: your codebase regressing to your worst engineer.And as agents eat software… and software eats the world… you can draw the conclusion on what is next:We discuss:* Why the engineering world is waking up to background agents and cloud agents* The December 2025 model inflection that made spec-to-PR workflows practical* Devin's 7x merged PR growth and rise from 16% to 80% of commits* Why Cole built OpenInspect as an open-source background-agent system* The economics of $20/seat agent products and why monetization is tricky* What Cognition actually sells beyond Devin: infra, onboarding, integrations, and adoption* Harness in the box vs out of the box, and why architecture matters* Why Devin separates the brain from the machine for security and permissions* Repo setup, scoped secrets, Docker Compose, and agent-ready dev environments* Why full VMs matter when agents need to run real applications and test them* Android, macOS, Windows, nested virtualization, and machine-specific agent work* Why testing is much harder than “computer use”* Screenshots, video verification, and the “I know it works” merge moment* GitHub UX, Devin Review, AI reviewers, and agents responding to PR comments* Why MCP alone is not enough for first-class Slack and enterprise integrations* Memory, Knowledge, skills, Claude.md, and why retrieval is still unsolved* Devin's auto-generated memories and the challenge of memory pruning* Always-on agents as permanent PMs for issues, tickets, and product areas* Sub-agents, meta-Devin management, and what multi-agent systems actually add* Why pure auto-merge vibe coding breaks down after about two weeks* AI code smells, lint rules, reward hacking, and Semgrep for agent-written code* GitAI, inline context, and preserving the “why” behind code changes* Local testing, mock servers, older codebases, and preparing companies for agents* Windsurf 2.0 and the handoff between local foreground agents and cloud background agents* SRE auto-triage, support workflows, and agents as first responders* PMs, marketing, and non-engineers creating pull requests from Slack* AI agent budgets, $1k-$5k per engineer spend, and hybrid frontier/sub-frontier systems* The rise of autonomous coding factories and who Cognition is hiringWalden Yan* X: https://x.com/walden_yan* LinkedIn: https://www.linkedin.com/in/waldenyan/Cole Murray* X: https://x.com/_colemurray* LinkedIn: https://www.linkedin.com/in/colemurray/* OpenInspect / Background Agents: https://github.com/ColeMurray/background-agentsTimestamps00:00:00 Introduction00:00:43 Why Everyone Is Building Their Own Devin00:01:57 Devin's 2025 Ramp: 7x PR Growth and 80% of Commits00:03:49 OpenInspect and the Rise of Open-Source Background Agents00:07:59 What Cognition Actually Sells Beyond Devin00:09:56 Background Agent Architecture: Harness In vs Out of the Box00:12:08 Separating the Brain from the Machine00:14:07 Repo Setup, Secrets, Docker, and Full VMs00:19:13 Why Testing Is Harder Than Computer Use00:22:40 Video Verification and the “I Know It Works” Merge Moment00:23:19 GitHub UX, Devin Review, and AI Code Review00:25:42 MCP, Slack, and Enterprise Agent Integrations00:28:59 Memory, Knowledge, and Always-On Agents00:36:16 Sub-Agents, Multi-Agent Orchestration, and Meta-Devin00:43:55 Vibe Coding, Auto-Merge, and Codebase Decay00:48:38 Agent Infra, VPCs, Cloud Providers, and Fast VM Restore00:52:25 AI Code Smells, Reward Hacking, and Code Review Systems00:56:10 Making Codebases Agent-Ready00:58:30 Windsurf 2.0 and the Local-to-Cloud Agent Handoff01:01:15 SRE Auto-Triage, PMs Shipping Code, and Agent Use Cases01:04:32 Agent Budgets, Hybrid Models, and Autonomous Coding Factories01:06:51 Hiring at Cognition and OpenInspect Consulting01:07:45 OutroTranscriptIntroduction: Walden Yan, Cole Murray, and Context EngineeringSwyx [00:00:00]: All right, we're in the studio with Walden Yan, co-founder of Cognition, CPO.Walden [00:00:08]: Happy to be here.Swyx [00:00:09]: Which is a cool title. And coiner of context engineering.Walden [00:00:15]: Although I think there are many people who'd used the terms in various ways beforehand, but I did find that people, both internally and externally, enjoyed the upgrade from prompt engineering or model wrapping into maybe a more thoughtful way to build agents.Swyx [00:00:33]: For those who haven't caught up on that, I have on screen the Don't Build Multi-Agents post, which you should go read on and we might refer to, and Cole Murray, who created OpenInspect.Cole [00:00:43]: Great to be here.Swyx [00:00:43]: So let's talk about it. Everyone is building their own Devins. What's going on?The December Shift: From Handholding Models to Autonomous PRsCole [00:00:51]: So I think the engineering world is waking up to this idea of background agents, cloud agents, whatever you'd like to call it. And I think we saw a shift around the December timeframe of 2025, where the models Opus 4.5 and GPT 5.2, they reached a capability where we moved away from handholding the model and being able to actually more or less autonomously drive the model. And what I mean by that is that we could pretty much go from a specification to a completed pull request, assuming the spec was good enough, with very little friction. And that paradigm alone, I think, changed a lot of how we interact with agents, and opened this world where background agents became more practical.Swyx [00:01:41]: I think for Cole, everyone experienced this in December, but I feel like there was just this increasing ramp, right? There was this moment which was, I think, Sonnet 3.7, where, You guys rewrote Devin in one night or something. So describe 2025 or how it felt from your side.Walden [00:02:01]: In retrospect, we always thought it was ramping up, but then even now, over the last three, four months from today, it's been ramping up even faster. So it's almost funny to be talking about how, big of a leap Sonnet 3.7 was, and honestly, a lot of it was stripping out parts of Devin that were no longer needed with that jump in of intelligence. But I also just think that a lot of the recent leaps, especially, you look at, models like Opus and the latest GPT models, they are reaching levels of autonomy where people are actually finding that they actually can just be hands-off. And people who were once debating, “Oh, do I need to be in the weeds with my model in the IDE? Can I just completely move it off into the cloud?” That's a more serious conversation, and we've seen that in all of our growth charts. Internally there's this funny graph where our usage has, of PRs, our merged PRs, has grown 7X since I forget what it was called.Swyx [00:02:57]: I think Dev, maybe tweeted that. Yes.Walden [00:03:01]: it grew like 7X over, the last, I think it was, two months, three months, something like that. And then you see our engineering headcount growth. It's, gone up by, 10% or something.Swyx [00:03:11]: We were, we were afraid To release this. So this is Devin commit percentages on all Devin repos, was 16% in January and now 80% in March.Walden [00:03:25]: It's a big shift right now. And so it makes sense that a lot of people are now thinking about, buying Devin, but also maybe, trying to build their own and there's Lots of I have a lot of fun building Devin, so I can see why other people would want to build their own cloud agents as well. Matt, well, maybe it's good to hear, what initially inspired you to try to build OpenInspect?OpenInspect: Ramp, Cloud Agents, and Open SourceCole [00:03:49]: OpenInspect came about, through primarily my clients observing how they were using tools like Claude, OpenAI's Codex at the time, and seeing some of the friction that they were having with it. Primarily the Claude was being used through Slack, and a big issue they ran into was that the sessions that were launched were specific to whoever called it via Slack. And so if a PM was the one who invoked the session and they would then go to pass context to engineering can't see the session. And that in itself was a deal breaker because the PM, “Hey, engineering, can you jump in?” But there's nothing to jump in on unless they're copy-pasting out or the single response that came back. And so seeing some of these problems, I had built a similar architecture internally, just to experiment with, test out different ideas as this trend of moving off of localhost was starting to become, And as Ramp released their blog post, I had a lot of the pieces for this already in place, and just thought it would be funny to, see what Claude could do just purely from the blog post. And on my X account, there's actually a thread of where I live tweeted, going through thisCole [00:05:14]: comparing GPT and Claude as both of them are going through it.Swyx [00:05:17]: On the announcement thing or something else?Cole [00:05:19]: right after it got released. We can put it in the show notes. Yeah, it was helpful that I had already knew how to verify the system. I knew what I was looking for. I think Ramp did a great job of really illustrating, the technical aspects of how to build something. It was much more than just like, “Hey, we built a great system.” It was, “And here's how you can build it too.” And so, I resonated a lot with that, just with the problems that I was already seeing, and I thought that, looking around, I didn't really see anything in the open source community that, met this type of system. I think there's a lot that run, in localhost like Superset, Conductor, and many others.But nothing that was actually running in the cloud. And so, I built it, and I thought it was interesting to just open source it and allow anyone to then have a foundation that they can mix and match on top of.The Business of Background Agents: Open Source vs. DevinSwyx [00:06:16]: So literally after Devin was launched was, there was OpenDevin Which became All Hands. I don't know if you tried that orWalden [00:06:22]: I was going to say, one of the things that interested me a lot with OpenInspect was, you didn't try to go make it then something you monetize. There are a lot of, I think, these open source projects would then go and really try to, raise VSwyx [00:06:36]: That's why no OpenDevin. Yeah.Walden [00:06:38]: yeah, and how did you think about that? I thought that was very interesting.Cole [00:06:44]: I thought, and just what I had seen across my clients, was that having a background agent system is going to become a critical infrastructure within their company. And so because of that, I think that I wanted to open source it so that they could fork it and put in whatever customization they wanted. To that question though, I get asked all, “Oh, are you going to raise? Are you going to turn this into a service?”Walden [00:07:08]: I'm sure you've gotten offers.Cole [00:07:09]: but primarily I don't want to do that for a few reasons. One, I think that I don't want to compete for, $20 a seat. I think that is just a really difficult business. I think it's very easy to copy the main pieces of it. Again, I built this fairly quickly. And I think because you are not owning, I guess, the entire stack, it's hard to monetize. You have money being made at the sandbox layer with Daytona, E2b, many other players. You have money being made at the model layer. And you sit in this weird in-between gray area where what are you actually selling? You're selling, I guess, the infrastructure. You're selling, the integrations maybe.Swyx [00:07:55]: let's ask the guy. What are you What are you selling?Walden [00:07:59]: Well, yeah, there's multiple layers to this in practice, and actually it's funny you mentioned the infrastructure, ‘cause when we got started building Devin as well, we had to go figure out how to make the infrastructure as well because,Swyx [00:08:10]: You had to build this two years before everyone else,?Swyx [00:08:15]: Including, the model sideWalden [00:08:17]: It was not, it was not very polished at the start, when we just built it off of raw VMs from cloud providers like EC2, the boot up time was so slow, I think, And especially then, turning off the machines, saving them, and then to be able to bring them back up again when the, when you want Devin to wake up again later. It would just be out cold for like 10 minutes because that's just how long these systems took. They were not built for this repeated down and up usage. And so we actually had to go do all of that. And as a result now, one thing we offer when we go and sell Devin to people is, you don't have to worry about all the compute side of things. We'll make it work. We'll make it work in your cloud if you want it to. But aside from the product, and I want to go into the agents and the tuning of the intelligence part later, but I think a big part of what we do at Cognition as well is to just make sure that your company learns and uses and adopts these coding agents. ‘Cause I think for especially the largest enterprises in the world, you find that there is a lot of people who want to move over to using AI for their day-to-day workloads. But because of the way projects are planned, because, not everyone is literate in using AI in these ways, having a team of engineers who can actually go in and onboard you, set up all the integrations you need, the automations you need to really get to that level of, leverage with AI, is super helpful. And so We do that. We show thought partners to the customers that we work with as well.Swyx [00:09:56]: So let's talk about, architectural stuff. I think that's always, that is something that was the topic of conversation between the two of you. Is this, the mental model that you want to start with or something else? I'll just leave the floor open to you guys.Agent Architecture: Harness in the Box vs. Out of the BoxCole [00:10:11]: I think, maybe we can start here as just a general what are the pieces of a background agent system. And then maybe we can go into some of the nuances of, Decisions that you can make.Swyx [00:10:22]: But I guess I also Like, what, maybe what Walden is saying is the agent is like in this open code box, I guess. Right? This is infra, and then there's, that's the agent. And you had this discussion about whether you put the agent in here or in Out externally. Can you tease that out?Cole [00:10:39]: In a background agent systems, you have a decision to make of where the agent is actually going to run. This is typically described as the harness in the box or out of the box. With running the agent in the box, you're making some trade-offs by doing that. The negative trade-off you're making is primarily security. Because the agent is running in that box, unless you otherwise design it, all of your secrets need to go into that box as well. And given the nature of AI, it can be unpredictable, and you could very easily end up accidentally exfilling your secrets, or other unintended behavior. Now, the out of the box is the idea that we are going to have the actual agent running not directly in the sandbox, and we will have, quote-unquote, the brain of the agent running in some type of worker, control plane. That sandbox then is going to serve as the hands where the brain is basically operating and making tool calls into that environment to manipulate it. I guess other trade-off that you're making between the two systems is that, in my opinion, running it out of the box is much more complex because, you have state that has to be managed, whereas if you're running it in the box, all of the state of that agent is actually in the box, and yes, it's you could persist it elsewhere, but it's all localized and you have less concerns to worry about.Walden [00:12:08]: I think a lot of that, what you mentioned, is why we actually from the start built Devin to what we called separate the brain from the machine. The other thing that this allows you to do is reuse any existing infrastructure you have for dev boxes Perhaps. And so you don't have to worry as much about making a new type of dev box that has all the dependencies the brain needs, as you mentioned, the secrets the brain needs as well. One thing that we've seen some customers run into is, you have a GitHub app and you want Devin, your agent, whatever, be able to interact with GitHub through this application, but then you have different users with different actual permissions. If they are all interacting through the same GitHub app and there's no actual, separation between the system that decides, what it does and the actual secrets on the machine, then you run into an issue where, okay, it's hard to do the separation. But in practice, with Devin, it's much easier because we just say whatever you put on the machine, that is, the scope of basically what the user is free to do, what the agent is free to do. So only put the most scoped secrets on that machine, and then the brain is fully not accessible from the machine. So you don't have to worry about messing with the, any of the most secure parts of the brain if the user is free to do whatever they want with the machine.Swyx [00:13:31]: I was going to just bring, I have this, chart from OpenAI, where I don't know if this is, in the box, out of the box. That is something that they do use to describe it. And then also recently Anthropic did, managed agentsSwyx [00:13:44]: Which is, this is their thing. I don't know. It's all, it's all variations of the same pattern, right?Cole [00:13:49]: So this would be out of the box.Swyx [00:13:51]: Which, is preferable for them because it's less work?Cole [00:13:56]: I would say it's more work.Swyx [00:13:58]: It's more work?Cole [00:13:58]: But it, in my opinion, it is the better architecture of the two. It's just, you're taking on a bit of complexity by doing that.Repo Setup, Docker, and VM-Based Development EnvironmentsWalden [00:14:07]: One thing I've not seen a lot of other players do well is how do you manage what's actually on the box? And this can be complex for many reasons. Let's say you have a big repository that's changing and updating a lot with changing dependencies. How do you make sure that the working environment of the agent actually stays up to date, has all the credentials it needs to, let's say, run the app and test it, and all the things you want your autonomousSwyx [00:14:34]: So a repo setup.Walden [00:14:35]: Exactly. So in, internally At Cognition, we call this repo setup.Cole [00:14:39]: The hardest part ofWalden [00:14:40]: It's been a perennial problem since the start of the company, of how do we help people get this set up? Because not everyone just has, working cloud environments working out of the box. And do you find this to be a common problem withSwyx [00:14:53]: How do you solve it?Walden [00:14:53]: Your clients?Cole [00:14:54]: This is a very common problem, and through my consulting, this is a lot of what I help teams do. A lot of teams don't really have great developer environment setups, if any. A lot of the times it's, “Go talk to Bob and get the secrets,” and that obviously doesn't work when the agent needs to actually set this up. And so a lot of that, most teams are using Docker Compose or some type of microservices. And so for theSwyx [00:15:19]: Even in prod?Cole [00:15:20]: Not in prod. With the OpenInspect, you are using this primarily to interact, and make code changes. There is other use cases, but you can hook, whether through CLI, MCPs, other tools, you can then hook that into your production systems primarily for, SRE type use cases. But you are not, necessarily, trying to test your prod internal microservice through the system.Walden [00:15:48]: And you mentioned Docker Compose. I think one direction we saw some of our friends take early on was, using Docker containers as the level of abstraction for their models. There's lots of reasons, I think, why Docker containers are not great. One thing is, Docker container's not really a true security boundary, for one. But the other is, if you are running real applications, a lot of times those applications use Docker, and then you have to think about Docker in Docker, which is, really weird. And so I think part of, the really hard challenge of getting VMs to work, why did we do that? Well, it was because we realized that you actually needed, full VMs to be able to do these types of things. And especially nowadays where there's actually value in running the application and clicking around and sending you screen recordings of these things. The value just, keeps adding on top of that. But it is a decision I see people run into when they try to build their own systems, is, “Oh, do we, in addition to this, do we put the agent in the machine or out of the machine? Do we use Docker? Do we use something else?” What do you recommend people nowadays?Cole [00:16:57]: I think Docker is a good solution for maybe not running the agent, but running your infrastructure, because that is more or less the same setup your engineers are probably already using. If they're not, then I don't know what they're using. But they're probably already using Docker Compose.Swyx [00:17:14]: I've always had a small candle for web containers. I don't know if you guys have tried them before.Swyx [00:17:19]: To me, they were, supposed to be like Docker Light.Cole [00:17:22]: Is it?Swyx [00:17:22]: I don't know.Cole [00:17:22]: No, I haven't tried it. But yeah, I think any environment that you've set up that is a good experience for your developer naturally lends itself to being easy to set up for the agent. And once you figure out that local developer story, you've more or less solved the agent in a sandbox, environment setup. OpenInspect does have hooks as well, where you can, run a setup SH script that will pre-install everything. You can then pre-snapshot that build so it starts instantly, and then there is a second hook to actually then, restore the state of the sandbox when it comes back. And so you can already have all of those microservices running and basically get the same experience that you would on your machine within the sandbox.Testing Agents: Computer Use, Screenshots, and Real App WorkflowsWalden [00:18:08]: Another thing that we've been thinking a lot about is like Different VM service offerings. Have you had customers where they needed like macOS specific VMs or like Windows specificWalden [00:18:20]: VMs?Walden [00:18:22]: There are like many technologies in the world that only work on specific types of machines, right? If you're building a.NET application that has to run on Windows or like, maybe more commonly if you want to build iOS or macOS Does that workSwyx [00:18:32]: Does Commission supportSwyx [00:18:33]: Choices like that?Walden [00:18:35]: The fundamental architecture we do, because we do the separation, it does support, but the actual work in progress is happening right now on these. Another thing that we've actually recently added support now for, it's in beta, is doing Android development. To do that, we needed to support, I think, nested virtualization within our machines because the VM itself is like a, is a virtualized Firecracker instance, and then you had to then run another Android emulator inside. And there's like weird performance issues that like, it, which is why it's like still in beta. We have to think through these problems, but it unlocks a lot for anyone who wants to do Android development.Swyx [00:19:13]: I was trying to find like a reference video for the testing thing. I couldn't find it, but I think you worked on the testing, capability. Why call it testing and not like computer use or I don't know, it's, what's the general Category of problem?Walden [00:19:26]: I think that when people think about the ability of an AI to run your app and test it, I think they actually over-index on the computer use part of it because computer use in my mind is the literal, okay, you want what button you want to click. Can you emit the right coordinates to go click that button? I think testing is actually a really interesting likeWalden [00:19:48]: Problem-solving, challenge for these AIs because if you wanted to do arbitrary testing, imagine you make a change that spans the frontend and the backend, maybe, even some other like even more deeply nested service. To actually test that change, we have to reason through what-- how do you first run these applications to orchestrate with each other with the right version of the code? Then, okay, how do I trigger the feature or how do I make the thing actually happen? And this can get arbitrarily hard, maybe you have to be an admin. Maybe a certain thing has to be feature flagged on. Maybe, you have to like run two sessions and then send us a very specific word into one of them to trigger a specific behavior. And figuring out how do you do that requires a lot of code base context, requires, a lot of orchestration that we've specifically done. And in some cases, we found that you actually, no one frontier model can actually do this full end-to-end task itself.Walden [00:20:42]: We've seen cases where we actually had to orchestrate different frontier models together to solve this problem together. That is where we spend most of our time when we think about this testing problem, not so much the computer use part. Computer use for what it's worth has gotten a lot better with recent models and it's made that part of the job certainly easier.Swyx [00:20:58]: Especially with like even 4.7, that they released yesterday, apparently like way better in terms of the vision stuff, which is going to be encompassing computer use.Walden [00:21:08]: Having evals for all these as well is something that like takes a while to build up. And having the evals be right is tricky as well. Do you ever see like, clients who are building their own agents have to start standing up evals to make sure things don't regress?Swyx [00:21:25]: Not so much evals in the traditional sense, but specific to the testing part that has just gone in. I just added support for screenshots And in theory you can also do video. I need to put in a plugin to do that. But they do show up natively, and it was a very heavily requested feature, especially after Cursor's recording came out. I think that was very enlightening for everyone of like, “Oh, this is a very good feature to actually have.”, I think with Devin you guys have had this for a while.Swyx [00:21:57]: Oh, yeah. See how screenshots work. Yeah, I don't know if there's anything, super and not obvious. It's like once what feature to build, you can just prompt it and it Will mostly work.Walden [00:22:09]: I think to Walden's point, though, the computer use is a subset of the larger testing problem, and I think that's very specific to the code base that you're working and it's not something that, out of the box that you could just solve it. The-- you do need the code base context to actually know how to test it. And I think in the case of a background agent system, you fortunately do have that code base locally that what is changing and could then inspect it and use that to drive the model.Swyx [00:22:40]: For those who haven't seen it before, this is an example of how it works. You, after the PR is done, you click testing approved, and then it sends you back a video. What I really like is that it labels, It's very small here, but it actually labels what it's testing. And then it-- and then you actually see the cursor and everything. So I don't know, yeah, the engineering in this, just Whatever you want to show. ‘cause this is like, this is one of those like, oh, few of the AGI moments, right? ‘cause Once I look at this, I actually don't I wish I can just merge inside Of Slack instead of going to GitHub ‘cause I don't need to see the code. I know it works.Walden [00:23:19]: Maybe a new feature in Cursor. Yeah, the annotations at the bottom was also a big difference for me when I, when I added those.Swyx [00:23:27]: It's just like, what am I looking at? What are you trying to demonstrate?Walden [00:23:30]: Exactly. There's a surprisingly long tail of small details that ends up making a big difference for this end metric of like how fast do you actually merge the code in. One experience that we spent a lot of time tuning early on was what is the right experience on GitHub for these tools. Because I think, most tools out there when you build the agent, you'll think about, oh, it'll create the PR for you. We try to take that a step further and say, “Oh, what if we actually made sure you could interact Devin, with direct Devin directly on GitHub?” And so we made sure that you can comment on GitHub, and Devin would actually receive those comments and address them back. But there's actually quite a bit of tuning you have to do here because you can imagine that actually like-We recently have Devin Review, for example. Devin Review will post comments on his own PR And then Devin has to then goGitHub Workflows: Devin Review, Comments, and PR AutomationSwyx [00:24:23]: He answers his own comments, which is Really loopy. So like, yeah, I like that it just updates here that it's, that I have commented But usually it's just me saying like, “Hey, merged, fix any merge conflicts.”Walden [00:24:37]: The, so when Devin fixes his own comments, you might be scared that, oh, maybe I'll infinite loop. But we've put a lot of work into making sure it doesn't, both by making sure that the comments are high signal, but also that the agent is thoughtful about what comments it immediately goes and tries to fix, and what comments it's like, “Wait a second, I think you're wrong.” Actually, that's one of my favorite moments is when Devin tells me that I'm wrong, when I try to get it to do something different. But tuning that behavior, actually makes a big difference in terms of how useful the actual GitHub experience is.Cole [00:25:06]: I think to touch on that as well, I think having the AI reviewer integrated into the system is a critical part of this background system. OpenInspect does have that. It has a GitHub code reviewer that you can control the prompt. It does do comments as well. It doesn't do them automatically yet. The capability is there, but it's not fully used.Swyx [00:25:27]: So you have to ask for it?Cole [00:25:28]: you do, yeah. You can tag it on GitHub, and then whatever you named your, GitHub bot, it will then follow up on it. It will then, if you have merge conflicts or whatever you have asked it to resolve, it will then resolve it, but it doesn't do it automatically yet.Integrations: Slack, MCP, and First-Party Agent InterfacesWalden [00:25:42]: Well, I'm curious, what is, the most common thing that people end up requesting, that they still need on top of OpenInspect when you help them go implement it?Cole [00:25:52]: I think a lot of it comes down to actually integrating it into the company. It's one thing to have the background agent system set up, but if it isn't actually integrated into your larger ecosystem, it isn't that useful. It is useful to be able to kick off sessions, but what we really want to be able to do is hook it into all of our other systems, whether that is the production database with read-only credentials, the logs, a Confluence or internal knowledge-based system. I think that is where I see the huge leap for companies, and that can be a challenge for companies as well who are maybe not familiar with exactly how to approach it, especially if they're in environments that have more compliance type things where, access control can be pretty big and how do you deliberately think about these problems, I find to be, one of the problems that comes with a system like this.Walden [00:26:46]: The thing we found is So, MCPs, obviously it has been like this, really big explosion of, oh, you can go, integrate it with all these different things. But to actually get the integration right and the and get the right experience, oftentimes we found that we had to go build our own ad hoc things. I think Slack is a great example of this. You could give your agent a Slack MCP and okay, it can post messages back to you on Slack. But we actually use Devin like a coworker in Slack, and that's how it's been built from the ground up. But to do that, you actually need to, support webhooks that come back, right? And then Devin has to respond in a natural way and then hopefully don't spam your threads too much and annoy the people in your company. So you got to tune that experience just right. Especially when there's a lot of back and forths, we find that we actually have to go beyond the simple MCP integrations in these places.Swyx [00:27:39]: I just pulled up the MCP marketplace. I know this is a Fair amount of work. Is the answer to eventually take first party control of all the top MCPs? Is that theWalden [00:27:48]: I would love a world where you could have something that's more expressive than MCP. That, goes both ways, not just a set of tools, but a proper system that interacts back and lets it Have the right experience with all these interfaces.Swyx [00:28:03]: So there actually is sampling in the MCP spec, but nobody Uses it, right?Walden [00:28:07]: And so I think that's the other part is, actually we found that when the MCP spec starts to get too complicated, it starts to lose its original promise of Being like a simple one-step connect. Now then we have to go figure out how to support all these different variations of things and It starts to look a lot like just building the first party integrations in a lot of these cases now.Cole [00:28:29]: I think it matters, too, how critical it is to your company, right? If this is something that nearly every session is going through, it probably makes sense to own it so that you can make optimizations on top of it Versus just whatever is off the shelf.Swyx [00:28:43]: Awesome. Other than MCPs, what else, sorry, well, I don't know if that's Narrowing in too much on, integrations. But what else? What other elements of building OpenInspect or Devin that you guys really sink on?Memory and Knowledge: What Agents Should RememberCole [00:28:59]: I think, a problem that comes up very frequently is this idea of memories or knowledge base.Swyx [00:29:05]: Oh, boy. How do you solve it?Cole [00:29:08]: so not solved yet, is the short answer.Cole [00:29:11]: it's something, there's a open issue for it, someone asking about it.Swyx [00:29:16]: There's, I, D Wiki hasn't indexed anything about memory yet.Cole [00:29:20]: how I'm seeing it solved across my clients is primarily through skills. I find that skills can be a good gap within that or updating Claude MD, but I think memory as a whole is a pretty unsolved problem, and it is why I've been hesitant to add it. I think there is parts of memory and that can be addressed, but I think as a whole it's a very difficult retrieval problem.Swyx [00:29:44]: Oh my God. RAMP didn't write anything about memory? I see zero search results.Walden [00:29:50]: No. Memory can be quite tricky to get right because it's the retrieval, but also the generation of the memories that can be really tricky. You don't want it to just like Remember very specific details.Swyx [00:29:59]: Walk us through the Devin memory journey because I know there's been a journey.Walden [00:30:03]: the first version of memory that like stuck around for a while was A system we have called Knowledge. And the idea was we wanted it to pick up things over time and not need the user to be proactive about teaching Devin things. So, okay, any time you remind Devin, “Wait, no, that's not quite the way you're supposed to use Git”Like, we actually want Devin to say, “Hey, do you want me to actually just remember this for the future?” And for you to just basically quickly approve or reject and for it to build up over time. ‘Cause I find that, 95%, I think, or some crazy stat like that of the memories that Devin has are all through these auto-generated things. Very few people actually just want to sit down and write big docs on Here's how you're supposed to work with the technology, et cetera. The generation and the retrieval has been something that we've been trying to tune a lot over the years. Generation, you don't want it to remember something like, if you asked one time to like, “Oh, please open as a draft PR,” you don't want to be like, “Oh, everyone forever now should get their PRs as draft PRs.” But you do want some, conveyor. Maybe you want to say like, “Oh, Cole generally likes, things to be created as draft PRs.” Same with retrieval, if you have thousands of these memories, how do you actually make sure they're retrieved at the right time? And that can be quite tricky to do right without exploding the context with a bunch of useful yeah, useless information. Surprising amount of just, eval work to just make sure that, memory is, remains a reliable system as new models come and go.Cole [00:31:31]: Do you have anything that you could share on, memory pruning? And like the temporal aspect of memory?Swyx [00:31:36]: Deleting and forgetting?Walden [00:31:39]: The, today, the, So the things they could do is it could edit memories. And so if your memory used to say like, “Oh, Cole likes to open everything as like a draft PR,” then you can imagine, “No, don't do that.” And then it'll say, “Oh, do you want me to update the memory to be Cole now want everything as, open PRs?” I think that at the same time we don't know if this is going to be the final version of the system. Whatever we have here will probably, translate into the new system that we'll be coming up with. But I think one big difference between two years ago and today is these agents are really good at using anything that resembles a file system natively. And so part of us are, is thinking, “Oh, should we rebuild memories to feel more like a file system that we let the agent navigate on its own?” That's been an interesting exploration. Also similar ideas in the scale space.Swyx [00:32:35]: I am pulling up OpenClaude's memory thing right now. So memory, OpenClaude has like this like daily memory journal thing, right? And you can I mean, that is a file system you can grep through and is a source of truth. I don't know if it's the best. It's probably super noisy, but at least, if you lose something you can discover it or you can apply some, forgetting algorithm to, more ancient memories that don't get recalled again or something. I don't know.Walden [00:33:01]: One thing we've been trying to do to push the boundaries of how you use agents at your company is letting an agent basically have a very similar file, a memory.md or something, and just like be your permanent PM for a specific set of issues maybe. So we have like some Slack channels internally, maybe a Slack channel dedicated to, a specific product like DeepWiki maybe. And you can imagine that, or you want a Devin that never stops, it's just always awake, but it has this like memory dock that it can just maintain for itself about, okay, what are like the number one priorities of what we have to fix and prioritize? Who is responsible for some upcoming work? Maybe they'll even Devin will even tag you on some recurring basis. And so it's been an interesting move to see, okay, how can we actually use Devin for more than just engineering? Can we actually upstream above the engineering process and maybe it's just Devin creating tickets, which then maybe some humans do, but then maybe other Devins do.Swyx [00:34:00]: One of my more fun automations is go research competitors and just suggest stuff to me on a weekly basis. That's the automation. I can't find it right now, but basically it just like, “Look at competitors and suggest things.” “And here are three things that you've suggested that I don't want any more of,” and you just stick that in the prompts. But like I wish actually So for like when I, for example, when I reject a PR, I wish that it updated memory so that I can then just not have to go up, go back and update the scheduled, sync, but anyway, feature request.Walden [00:34:31]: what? We might change it soon. I guess OpenInspect, in the time you've been around, has there been anything you tried to implement but then you had to like undo and like do a different way?OpenInspect Architecture: Webhooks, Control Planes, and Agent StateCole [00:34:41]: Nothing yet, but something that is on my mind. The initial way that I built it was that each of the integrations lives as its own package. And so you have The Slack bot, which is what's handling the webhooks, and then is basically interacting with the control plane. As I'm seeing the system starting to be more integrated, specifically with the GitHub bot integration, I'm considering bringing that all into the central control plane because especially now I want to start, And a request that I'm getting is the ability to monitor, the actual, pull requests being merged, as well as just tracking ofSwyx [00:35:19]: What do I have open?Cole [00:35:21]: What do I have open? How many of these are getting merged? How many comments are showing up? To just understand the health of the system. And so in the case of a GitHub app, you only have one webhook. And so then it's a question of do I put that webhook in that GitHub bot package? That's weird. It doesn't really make sense to live there because that package is more for like the code reviewer. Or do I like centralize it? So that's something that's on my mind of, making that decision. I think the other one we touched on earlier is the harness in the box versus out of the box. I think long term the architecture will eventually come back out of the box. Some of the newer tools that I've added are calling back into the control plane so that you don't have the secrets in the sandbox. And so I think long term I probably will pull the actual, agent out of the box, but I think for now it's fine.Subagents and Multi-Agent Systems: When Parallelism Helps or HurtsSwyx [00:36:16]: Just, a quick question on pulling the agent out of the box. I'm One thing I'm very bullish on this year is agents calling other agents or spawning sub-agents or Whatever you want to call it. Does that make it harder or easier? I can't tell. Because if the harness is in the box, you can just spin up more boxes. If the harness is outside the box, then you're, it's less easy because you are, you have a unicorn pet of a, of a harness that's, living outside the box.Cole [00:36:45]: In theory it would be the same way, right? Whether, one agent has launched many, sub-sessions within it, OpenInspect, for example, can launch sub-sessions and actually create other environments and then monitor them. In the case where it is out of the box, that would basically just be an additional session that's running. And so that session is also running outside of the box. It's running in your worker plane, wherever you're running this. And then you really just have to think about how does your top level agent then interact with it. I do think it can be more complex, just ‘cause again, you have now a more difficult architecture. But I think if you figured it out once, it's probably fine.Swyx [00:37:26]: Well, then I'm just, throwing it open to you in terms of, I call this like meta Devin management. Which is like the, Devin's calling Devins or Devin scheduling Devins or querying trajectories or anything like that. What have you built or unshipped, anything?Cole [00:37:46]: I think one of the surprising things we've seen is that a lot of the ways that, these, separate agents work with each other, and you want them to, parallelize their work, has still mostly followed the same manager sub-agents regime. And a lot of people I think are excited about this world where you have swarms of agents that, talk with each other all over the place. We've actually given Devin an MCP so they can just go arbitrarily message other Devins And create new Devins, et cetera. But I guess, it somehow creates, a really chaotic world in that sense. And so we've still found that most practical use on a day-to-day basis has been one single Devin.Cole [00:38:33]: Figuring out how to segregate the work and get, have other Devins work on it in, a relatively isolated sense, each with their own boxes Not sharing machines, so there's, a very little room for conflict is the regime that you have to create today.Swyx [00:38:50]: I'll call out, the experiments from Cursor, right? This is Wilson Lin's work on Single agent to multi-agent, and you're obviously famously on the side of don't build multi-agent. But they went through the whole thing, only to arrive at, this Which is exactly what Devin has, I think.Cole [00:39:08]: I think there will be a revision to that post at some point AboutSwyx [00:39:12]: Tell us about itCole [00:39:12]: I think multi-agents were very much not at all possible a year ago. You do see more multi-agent experiments today, but you can argue, are they really multi-agents, or are they just just, tool calls,? There are people who, will create sub-agents to go look for XYZ file, XYZ implementation. Has really nice context management benefits because all of the tool calls and tokens that it spends then get collapsed back to just the answer for the main agent. There's a lot of benefits to doing this. We basically have Devin do this with Deep Bookie, make a call out to Deep Bookie, give you back the results, but that feels like a tool call,? It's not like these, two collaborators actually talking back with each, back and forth with each other. But I think the thing that gives me the most bullishness that multi-agents might actually be possible is actually what I said earlier about Devin will actually sometimes tell me I'm wrong and push back, and I think that demonstrates a level of maturity and communication today that makes a multi-agent world possible. One, can two agents who have seen different information come back to each other and actually figure out who is right, what is the correct implementation? They're not just, yes men. Claude, I guess is like, used to just say, what is it? “You're right,” or,Swyx [00:40:25]: “You're absolutely right.”Cole [00:40:26]: “You're absolutely right.” Yeah.Swyx [00:40:28]: The Have you seen, did you seeCole [00:40:29]: The age is overSwyx [00:40:30]: The Codex app troll in Topic? This is the Codex app. Inside of Settings, there's a little, there's a little Easter egg, right? So if you go to, the Themes or Appearance, right? There's all these, color codes, and the top is absolutely, and it's the Topic's colors. Which is such a troll. Anyway.Model Behavior: Pushback, Adversarial Prompts, and Agent SkepticismCole [00:40:53]: I love that Easter egg. Did you discover that yourself?Swyx [00:40:54]: No, it was, someone was, tweeting about it And I was like, I was like, “Is this true?” Because, sometimes people just tweet stuff to, get a rise out of you. But yeah, there you go, in Topic colors.Cole [00:41:06]: Yeah. So yeah, we're out of this regime where, it just says you're absolutely right, and they can have real conversations and real back and forths.Swyx [00:41:13]: You can prompt it as well to be more adversarial or whatever. Yeah. Okay. Yeah, that, I mean, to me, that is more intelligence, right? That is not just something that's, a dumb tool, it's actually pushing back on you I think. Yeah.Cole [00:41:24]: when you mentioned, of course, the blog posts. There was one blog they had where they fed a swarm of agents together and built a browser.Swyx [00:41:34]: That was I think that was the one.Cole [00:41:36]: You can have, likeSwyx [00:41:37]: I think it's the same oneCole [00:41:37]: Creation of it. We found a surprising success of, don't do a swarm or anything, just have one Devin, it does its own context management. Just let it keep running for a while and give it some crazy tasks. I think we asked it to, rebuild, a Windows OS system. And it managed to do it just like, going on for long enough. It'sSwyx [00:41:55]: Was this Andrew's thing?Cole [00:41:58]: there were lots of demos that we ended up not posting, ‘cause at some point we'd just be posting way too much a bunch of, Demos. But I love that because it shows that I think the multi-agent thing still has, a bit of exciting sexiness to it, which is maybe still beyond still, the actual delta it adds to the capabilities of these systems. But it's absolutely the future. I think we're heading in that direction and we can see the progress being made there already.Swyx [00:42:25]: If I were to, make one super minor pushback because I don't feel that confident about it yetCole [00:42:33]: Go for itSwyx [00:42:33]: But I've had Ryan Lopopolo from OpenAI on the pod And he's a super slop cannon, right? Oh my God, that's my coding agent being done. I downloaded this, Peon Ping. I don't know if you guys have heard this. It takes like-, sound packs from popular games like, Command and Conquer and Warcraft, and then it plays it whenever it's done. And so it's like, “Work,” or whatever, “At your command,” or something. Anyway, what I got from the Cursor code base and from Ryan's thing was that there's a slop cannon approach where you try to loosen the single agent's, bottleneck, and I feel like that is, probably an, a very important thing to try to figure out. I don't think anyone's, really solved it. Because then you just have more reviewer slop on top of the agent slop To try to wrangle it all. Ryan will probably very strongly object that I say that he hasn't solved it, but he thinks he's He thinks he's completely solved it. But I think it's still I think it's, very important, ‘cause, that is a bottleneck, right? I feel Devin is slow sometimes Because I'm like, well, yeah, this is very readable and very sensible, but also it is slower than it could be if I just, I want a button to just say, “Just ramp this up 1,000 next parallel, in parallel and just, see what happens,”? And I don't know if that's, feasible at some point in the future.Code Review, Entropy, and AI SlopWalden [00:43:55]: I And we've also run experiments internally where we've basically tried to build entire products, true products that we knew we would eventually ship, but for now, let's try to see if we can do it just by purely, vibe coding on top of each other, auto merge, no code review at all. And then there's this benchmark of how many weeks can you go onto this for Before you say, “We have the trashiest code base.”Walden [00:44:18]: “Let's actually rewrite it from scratch.”Swyx [00:44:19]: Start a new factory, yeah. What'd you find?Walden [00:44:21]: I think we found that the state-of-the-art in December was you can probably, run this for about two weeks. By the end of those two weeks, you'd find that, hey, you want to, change the color of a button. Well, it turns out this button is implemented in, 10 different places, and they, have All these different variations, and oh, you forgot one of them, and actually it's a slightly different color in one spot. And you're like, “Okay, this is too much to work with. Let's actually try to do code review at the same time.” And make sure that we're on top of our software, actually cleaning it up a bit And making sure it's done in a scalable way.Cole [00:44:54]: I think building on that, the idea of, you don't have to look at code, I think is generally a bad idea. And the meme that I have for thatWalden [00:45:03]: What timeline, all right, is Do you think that statement will be true on?Cole [00:45:06]: I think probably for a while it'll be true that you should continue to look at your code. A problem that I see a lot of teams run into that I work with who are embracing AI native, AI first coding, is The meme that I have is that your code base regresses to your worst engineer, because that engineer who is, very gung-ho about AI and is not auditing their code, their pattern starts cementing into the code, and now the AI is referencing their patterns. And so now their if/else block that, is 20 if/elses back and forth, the AI is seeing that as the pattern of how things are done and starts to then exponentially grow this slop. And I find to your point, a pretty good approach to that is having scheduled cleanup, whether by humans or through systems, that are looking for duplication. They then address that. You'll end up with like 12 helpers for how to format a date. And you need to address that, because otherwise it will continue to sprawl.Swyx [00:46:09]: Within balance, I think it's fine to have some duplication, and then sometimes To have garbage collection, right? Yeah. The What I've been, talking about with a lot of engineering leaders is that you want to be very strict about the boundaries between modules, and it's your job as an architect, as a CTO, whatever, to say like, “Okay, here's the hard contract between you guys and you guys. Whatever you do inside this black box is your business. You do whatever. But between these guys, let's be, really damn clear, and any movement must be signed off by a human or me,” or. Then, and like that's that. I don't know if you have any other modifications or advice.Walden [00:46:44]: Well, I guess generally on the topic of, where humans can be useful, I found that ‘cause, some of these, really deep infra problems, sometimes just having a human that just has, really deep expertise can make a big difference. I've actually seen this come into play when actually building agents. So we've had a few friends now, try building their own coding agents, and I think one same problem that I recurringly heard a lot of them run into was this problem of like, “Oh, Grep is really slow on our agents' machines.” And so a lot of them, I assume because they're using AI and they themselves don't have, super deep infra background knowledge, say, “Okay, we're going to go build our own custom Grep index. It's going to be really fast,” and use that as a way around this problem. When we ran into this problem About like, maybe like a year and a half ago when we were, in the early days of building Devin, we obviously didn't have AI then. We just asked our, how to, how to do this. You can just swap out a new Grep index, so.Infrastructure Details: Grep, File Systems, and SandboxesSwyx [00:47:45]: What do you mean you hand-coded Devin? What?Walden [00:47:48]: It's like, can you believe we hand-wrote this code? And we had, our infra people who are really amazing, they were looking into it and they're like, “Oh, what? We realized that actually the root cause of this problem is actually super simple, but like fine-grain detail,” which is that a lot of these virtual machines actually underlying them don't use real file systems. They use these, network file systems where things are actually cached over the network actually in S3. So when you're Grepping, you're actually making network calls Every time you're doing these things, and that's why Grep is extremely slow on these machines. And so again, goes back to, what is all of the crazy infra work that we had to do to actually get these machines working. If you try to do this yourself, there are tons of small details like this, and so we had to eventually go swap out that network file system. ButSwyx [00:48:35]: I think there's a write-up about it, right? Silas did one about the virtual file system.Walden [00:48:38]: Oh, that was a whole other thing. TheSwyx [00:48:39]: Oh, that's a different thingWalden [00:48:40]: The BlockDev file storage formatSwyx [00:48:42]: I'll bring it upWalden [00:48:42]: Which is, a file system format that we built so that the VMs could be spun up and down very quickly. Basically, the intuition behind this is-Imagine you have, a terabyte of disk, and your agent only, wrote, a hundred lines of code on top of that disk. How long does it, say, take to, save and re-bring up that disk? And most systems, because you're not optimizing for this case, it's just, on the order of a terabyte of work because you have to Save all of that and bring it back up. In our system, we try to build a file system that incrementally builds on top of each other. So every time you save and bring the machine back up, you're only doing work that is proportional to effectively the diff in the file system. And so this, shaves off a lot of time in the boot-up process of Devin. I think we This is actually now outdated. We have a newer system inside of Devin. But yeah, there's a lot of tiny details you have to get right here to actually get the day-to-day experience of Devin to be good.Swyx [00:49:39]: It's, not technically agents, but it is agent infra, and when you sell an agent as a company, you sell agent plus agent infra.Walden [00:49:46]: At least the way we do it be And the other The nice thing about having the agent infra being done together is, you We get to deploy Devin in whatever environment we want now. We don't need to wait for some underlying infra provider to also go and support VPC or on-prem or FedGovCloud, for instance. So we can actually go and figure out, okay, since we own the infrastructure, how can we get that set up for you?Cloud Providers: Modal, Daytona, and Enterprise SandboxesSwyx [00:50:12]: Whereas you're Cloudflare dependent.Cole [00:50:15]: so Cloudflare runs the control plane. The sandboxes, Modal is supported. A contributor just added Daytona. E2B is on the roadmap, and I think there's an abstraction in place that if any contributor wants to add a new provider, they can add that in.Walden [00:50:32]: Well, what are, How are the customers you work with Do they generally try to then go set up a contract with another one of these third-party providers? Do they try to do the VMs in-house?Cole [00:50:44]: most of them I see using Modal. I think Modal has a greatWalden [00:50:48]: Shout out Modal.Swyx [00:50:48]: Shout out Modal.Cole [00:50:50]: I think Modal has a great offering. It captures all of the sandbox pieces you need, snapshots being a pretty big piece of that, and given that they also offer GPUs, I think it's a pretty nice offering as a whole.Swyx [00:51:04]: no debate there.Walden [00:51:07]: Modal is great, especially, I think their container offering is, the most natural, and so especially if you are willing to, forego, the full VM requirements Modal is, a really vast place you can spin something up on.Swyx [00:51:20]: Is there a point So Modal's very Python, and I feel like most workload, has really shifted to JavaScript. I don't know if you guys Get the same feeling. So, okay, when I started Landspace and IE and all these things, I was like 50/50 Python and JS, right? That's roughly. I think that's wrong now. I think JS has won. I don't know if you guys Like, I Maybe I'm overstating it, and maybe for cognition, there's, C# and Java and what have you. But for, new greenfield apps, do you feel that Do you get that sense? Does it matter?Cole [00:51:52]: I think that most of the libraries that I see in this space are Python native first, especially in theCole [00:51:58]: Observability space. That said, I think that there is a pretty big appeal of having your entire system in one language. Especially when you have both your frontend and backend communicating, you can have one central type Which is very nice.Swyx [00:52:11]: That's my case against Modal, which is Then you have to run JS. You can run JS inside Modal. It's just, one extra step That, isn't native to the runtime. I don't know ifWalden [00:52:22]: I don't knowSwyx [00:52:23]: Reviews. Do you have numbers? I don't know.Walden [00:52:25]: the one thing I don't like about Python is whenever AI, whenever it writes Python, it always does, the weirdest patterns, andSwyx [00:52:32]: Oh, because it's, mixing two and three or what?Walden [00:52:34]: I think it's something mixing two and three, yeah. The I don't know if you see this. It always tries to do, has attribute on objects as likeCole [00:52:41]: Oh, my God.Walden [00:52:41]: But it's like But that you shouldn't be doing that. It should error if there wasSwyx [00:52:45]: Because it's training on library code?Cole [00:52:47]: I think it's more of, likeCole [00:52:48]: From what I've seen, it's more of, a reward hacking mechanism where it doesn't want to basicallyWalden [00:52:54]: It'll never error.Cole [00:52:54]: It doesn't want the code to fail. And so it Even when it knows it has the attribute, it'll call getattr on a, and for a lot of my clients who have moved towards more autonomous coding, we've put that in as a lint rule That if you do getattr, your pull request is going to fail.Slop Signatures: Comments, Backwards Compatibility, and TypesSwyx [00:53:12]: Ooh, this is a fun topic. Can you tell me more about this? What else is a sign of AI coding that you have to put guards in?Walden [00:53:21]: So we were talking just before this about Opus 4.7. One of the things this new model likes to do is it writes lots of comments. Not like, it'll, comment every line, but it'll write, paragraph, PRDs, on top of every function. But I will say, to its credit, these aren't slop, descriptions like they were before. “Oh, here's what this function does.” It's like, “Oh, here's actually the r

APR Health Solutions Peptides: www.aprhealthsolutions.com - code nyleOptimize HRT Clinic: https://members.optimize-hp.com - code nyleMerch: https://www.aykons.com/nylePlease share this episode if you liked it. To support the podcast, the best cost-free way is to subscribe and please rate the podcast 5* wherever you find your podcasts. Thanks for watching.To be part of any Q&A, follow trensparentpodcast or nylenayga on instagram and watch for Q&A prompts on the story  https://www.instagram.com/trensparentpodcast/Huge Supplements (Protein, Pre, Defend Cycle Support, Utilize GDA, Vital, Astragalus, Citrus Bergamot): https://www.hugesupplements.com/discount/NYLESupport code 'nyle' 10% off - proceeds go towards upgrading content productionYoungLA Clothes: https://www.youngla.com/discount/nyleCode ‘nyle' to support the podcastLet's chat about the Podcast:Instagram: https://www.instagram.com/trensparentpodcast/TikTok: https://www.tiktok.com/@transparentpodcastPersonalized Bodybuilding Program:  https://www.nylenaygafitness.comRP Hypertrophy Training App: rpstrength.com/nyle (code nyle)Timestamps:00:00:00 - Intro00:02:40 - Peptides & Off-Season Compliance00:04:54 - Vegas Gyms & Pro Bikini Prep00:07:14 - Trenbolone in Female Divisions00:08:10 - Wellness & Figure Drug Protocols00:10:22 - The Power of Strategic Time Off00:12:48 - Post-Show Peptide Protocol00:13:42 - Restore and Regenerate Phase00:15:39 - GH and Secretagogue Interactions00:17:22 - Receptor Reset and Transition Phases00:18:21 - Merch Drop & Personal Traumas00:19:40 - Mitochondrial Peptides & Cost Benefit00:20:23 - Training Application of SS-3100:21:53 - Grip Biomechanics & Lat Training00:22:34 - Gym Fire Mystery00:23:49 - Straight Arm Lat Pull-Downs00:24:51 - High vs. Low Volume Debate00:27:13 - Deloading, Fatigue & Recovery00:30:34 - Individualizing Training Programs00:33:03 - Extreme Focus on Weak Points00:34:08 - Safe Enhancement & Health Stack00:36:04 - Vermont 2017 Show vs. Prep from Hell00:39:38 - Meal Walks & Glucose Partitioning00:41:15 - Fermented Foods for Gut Health00:42:35 - Mental Toll of Tragic Loss00:45:46 - Contest Review: Saint Pete & Hurricane Pro00:46:26 - New York Pro Predictions & Classic Aesthetics00:49:11 - Golden Era Standards & Midsection Control00:50:51 - The Weight Cut: Sauna & Extreme Tricks00:53:51 - Classic Physique Height and Weight Caps00:55:46 - The Criticisms of Modern Open Bodybuilding00:56:29 - Preventing the Stage Gut & Peak Week Carbs00:57:54 - Patrick Moore, Tonio Burton & Nick Walker00:59:51 - Practicing Posing Under Pressure01:02:46 - Visceral Fat vs. Subcutaneous Fat01:03:59 - Growth Hormone vs. Tesamorelin01:06:29 - Andrew's Off-Season Career Muscle Gain01:09:10 - Old Off-Season Drug Cycles01:09:41 - Dave Palumbo vs. Milos Sarcev: Insulin-Fat Debate01:13:10 - Elephant Dosages vs. Barebones Protocols01:16:12 - Incremental Off-Season Dosages & Ceiling01:18:46 - Epigenetics, Phthalates & Androgynous Frogs01:23:48 - Planks, Hydration & Longevity Routine01:25:29 - Cheat Meals, Zevia, and Nicotine Gum01:28:38 - Media Shills & Political Simulation01:30:23 - Old Drugs of Choice & Show Day Jitters01:33:05 - Beta-Blockers & Stage Panic Stories01:34:25 - Daily Organ Protection Supplement Stack01:36:11 - Post-Pro Card Existential Crisis & Hard Preps01:39:08 - Conor Murphy Roommate Stories01:40:41 - Tracking Progress: Notes App vs. RP App01:42:56 - Fasted vs. Fed Cardio: The Debate01:44:59 - Peptide Histamine Reactions & ER Fails01:49:12 - Criticisms of Modern General Practitioners01:49:32 - Mountain Dog John Meadows01:52:07 - Supersets & Arm Training Focus01:54:15 - Advanced Pre/Intra/Post Workout Insulin Dosing01:58:11 - Masters Stage Chasing vs. Financial Wealth01:59:51 - Rest Day Insulin & Clearing Blood Glucose02:02:02 - Preventing Skin Aging on Androgens02:06:16 - Andrew's Biggest Cycle & daily Sustanon Microdosing02:10:18 - Sugar Timing & Intra-Workout Bulking Carbs02:12:47 - GLP-1 Agonist Interaction with Exogenous Insulin02:14:06 - Rapid Digesting Carb Concoctions02:15:37 - Peaking Simple: Eliminating Stage Water02:18:03 - Cortisol Spikes, Circadian Rhythm, and Insomnia02:21:20 - Growth Hormone Bolus Schedules vs. Rest Days02:22:34 - Entitlement & Ego: Coaching Pro Athletes02:26:40 - The Reality of Andrew's Arrest & Informants02:28:09 - Anti-Aging, Asian Genetics, and 23andMe02:32:05 - Andrew's Closing Message to the Next Gen

Most healthcare AI founders pitch the technology instead of patient outcomes. Colin Lawlor, founder of Sleep.ai with 15 years in sleep science and 250+ clinical studies, explains why sleep data requires specialized infrastructure beyond generic LLMs. He reveals how Sleep.ai's billion-hour proprietary dataset creates defensible moats through wearable normalization models, intervention efficacy mapping across 600+ devices, and closed-loop outcome measurement that health apps can't replicate without years of R&D investment.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most founders treat culture like an afterthought until it breaks. George Schlossnagle, founder of Message Systems (sold to MessageBird for $600M), explains why culture debt accumulates faster than technical debt and destroys scaling companies from within. He breaks down the "culture branching" phenomenon that happens around 100 employees, shares frameworks for detecting early warning signs like "that's not how we do things here," and reveals why hiring for cultural fit matters as much as technical capability in post-funding execution.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most enterprise AI delivers generic responses when you need role-specific intelligence. Peter Day, General Partner at super{set} with a PhD in machine learning and 8 years leading product at Quantcast, breaks down why agentic personalization creates unbreachable competitive moats. He reveals the architectural patterns for building software that learns individual preferences in real-time, explains why role collapse will eliminate 60-80% of traditional engineering positions, and details the shift from seat-based SaaS pricing to outcome-driven models that compound user value.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Not all workouts are built the same - and if your goal is body recomposition, that matters.In this episode, I'm breaking down the difference between straight sets, supersets, and circuits so you can better understand what each one is, what each one is good for, and how they actually impact your results.A lot of women have been taught to think that the “best” workout is the one that leaves you the most sweaty, out of breath, and exhausted. But harder is not always smarter, especially when your goal is to build muscle, get stronger, and change your body composition.I'm also sharing how I use these different training styles inside my UFYF: Fit Club, and why workout structure should always match the goal.If you've ever wondered why some workouts feel more strength-focused, why others move faster, or whether circuits are “bad” for body recomposition… this episode will help clear it up.In this episode, we cover:What straight sets, supersets, and circuits actually areWhat each workout style is best used forWhich structure tends to work best for body recompWhy ‘sweaty and exhausted' does not automatically mean effectiveHow I use these methods inside Fit ClubLinks/Resources:SHOP UFYF merchandiseGrab your FREE Body Recomp Meal Prep and get the UFYF NewsletterSHOP Kion - my favorite Protein, EAA's and Creatine!Listen to the Girls with Opinions PodcastJoin FIT CLUB, my monthly membership with workouts you can do at home or the gymJoin PRIVATE COACHING, my 1:1 program (choose 3 or 6 month option)Connect with me on Instagram @kristycastillofit and @unfuckyourfitnesspodcastJoin my FREE Facebook group, Unf*ck Your FitnessClick HERE for my favorite fitness & life things!Send me a text with episode ideas or just to say hi! Support the show

Most enterprise AI failures aren't model problems—they're data architecture problems. Vivek Vaidya, serial entrepreneur with 25+ years building enterprise software and current CTO/Co-founder of super{set}, explains why vector databases alone can't solve enterprise AI and why knowledge graphs are foundational for production systems. He breaks down the critical difference between augmented intelligence (AI proposes, human approves) versus full automation, details how governance layers must respect existing enterprise data policies, and reveals why non-deterministic LLM outputs create compliance nightmares that kill enterprise adoption.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this Huberman Lab Essentials episode, my guest is Dr. Andy Galpin, PhD, Executive Director of the Human Performance Center at Parker University and an expert in building strength and muscle size (hypertrophy). We cover the core principles and protocols for building strength and muscle, including science-based guidance on reps, sets, frequency and rest intervals. We also discuss how breathing and mental focus can enhance training and how post-workout downregulation can speed recovery. Read the show notes at hubermanlab.com. Subscribe to Perform with Dr. Andy Galpin at performpodcast.com. Thank you to our sponsors AG1: https://drinkag1.com/huberman LMNT: https://drinklmnt.com/huberman Eight Sleep: https://eightsleep.com/huberman Timestamps (00:00:00) Andy Galpin (00:00:39) 9 Exercise Adaptations; Progressive Overload (00:03:53) Progressive Overload, One-Rep Max, Soreness, Tool: Modifiable Variables (00:08:39) Sponsor: LMNT (00:10:12) Full-Body Workout, Exercise Selection (00:12:44) Training Intensity, Repetitions, Sets, Rest Intervals, Supersets (00:16:24) Sponsor: AG1 (00:17:48) Hypertrophy vs Strength Training Recovery (00:20:03) Training Volume & Frequency for Hypertrophy (00:21:56) Hypertrophy Rep Ranges, Frequency & Recovery; Cell Mechanisms (00:25:28) Sponsor: Eight Sleep (00:26:46) Tool: 3 x 5 Protocol; Power vs Strength (00:28:23) Mental Awareness in Training; Mind-Muscle Connection (00:31:25) Activating Muscle Groups, Awareness, Tool: Eccentric Overload (00:33:40) Perform Podcast: Season 3 (00:34:04) Tool: Resistance Training Breathing & Post-Training (00:38:20) Acknowledgments Disclaimer & Disclosures Learn more about your ad choices. Visit megaphone.fm/adchoices

Most financial markets still run on one-to-one matching when optimization engines could unlock trillions. Kelly Littlepage co-founded OneChronos after exits to major financial institutions, building the fastest-growing US equities market processing $20 billion daily using Nobel Prize-winning combinatorial auction theory. He breaks down why capital markets lagged behind ad markets in auction sophistication, how machine learning solves NP-hard matching problems at Wall Street speed, and why GPU compute markets need combinatorial auctions to handle non-fungible infrastructure across latency zones and chip architectures.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Trenbolone, raw powder shortages, and real-world bodybuilding strategies—Skip Hill, Andrew Berry, and Scott McNally break down what's changed in the industry, what still works today, and where people are getting it wrong. From old-school Finaplix conversions to modern Tren use, this episode dives into the real risks, evolving trends, and practical training insights you can actually apply. If you've ever wondered how dangerous Tren really is—or how today's bodybuilding landscape compares to the past—this episode covers it all. TIMESTAMPS: 0:00 Tren from Finaplix Carts vs Modern Tren – What Was Worse? 0:45 Project Bodybuilding Era Stories – Old School Cycle Talk 1:50 Raw Powder Supply Issues – Are Steroids Getting Harder to Find? 5:00 Supersets vs Drop Sets – When They Actually Build More Muscle 11:00 When NOT to Use Supersets or Drop Sets (Common Mistakes) 22:30 Is Trenbolone More Toxic Than Other Steroids? 23:50 Homemade Tren from Pellets – The Real Risks Explained 26:00 Why Bodybuilders Are Using Less Tren Today 29:00 Injecting Mistakes – Can Steroids Enter the Lungs? 34:15 Genetics vs Gear – Why Some Guys Need Less to Grow 41:30 First Time Using Tren – Safest Approach & Beginner Advice 43:40 How to Stay on Diet While Traveling (No Excuses Guide) 51:20 Using Insulin at the Gym – Avoiding Attention & Mistakes 57:15 Skip's Word of the Day 59:45 Behind the Scenes – After the Podcast 1:05:00 Behind the Scenes – Before the Show Support the podcast and get exclusive content: https://www.patreon.com/thinkbigbodybuilding Shop Think BIG apparel: https://think-big.printify.me/products Presented by TRUE NUTRITION – Use code THINK https://www.truenutrition.com/THINK Third-party tested ingredients trusted by bodybuilders. For our Canadian listeners – deals on top brand supplements: http://www.supplementsource.ca

Most founders think scaling means hiring more people, but 66% of Inc. 5000 companies fail within eight years because growth without systems is just expensive chaos. Charles Gaudet, founder of Predictable Profits and "CEO Whisperer" who's unlocked $100M+ in client revenue, breaks down why founder-dependent businesses hit inevitable walls regardless of funding or talent acquisition. He reveals the three systematic traps (setup, sales, and scale) that keep seven-figure CEOs trapped in operational bottlenecks. Plus, Charles shares his framework for achieving 50% recurring revenue and removing yourself from daily decision-making without breaking company momentum. This is an episode you don't want to miss.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

If you are both lifting weights and doing cardio, is your program optimizing for both without undermining each other?It's not that combining them is bad, but that most people struggle to arrange their training week.Philip walks through the 5 programming mistakes that create interference between your strength training and your conditioning, using the new Velocity 5-day Hybrid program from Physique University as the example of what it looks like when you fix all five.You'll learn when to program your heaviest lifts, which days your sprint intervals should go on, how and when to use a dedicated "active recovery" day, and when to skip the extra conditioning work instead of pushing through it.If you've been trying to build muscle, lose fat, and improve your cardio fitness at the same time and feel like neither one is progressing, this episode will show you where to look first.Cozy Earth bamboo pajamas and blankets | Your training is only as good as your recovery. Cozy Earth's temperature-regulating bamboo pajamas and Classic Cuddle Blanket help you actually rest when you're done for the day. 100-night sleep trial, 10-year warranty. Go to witsandweights.com/cozyearth and use code WITSANDWEIGHTS for up to 20% off.Join Physique University (Velocity + 10 other training templates): physique.witsandweights.comEpisodes MentionedStrength Training and Endurance Together (Without Killing Your Gains)Are Your Fitness Goals in Conflict?Timestamps0:00 - Lifting vs. cardio (does hybrid training create interference?)  4:55 - Mistake 1: Timing of cardio vs. heavy lifts 6:51 - Mistake 2: Superset pairings and muscle fatigue 8:28 - Mistake 3: Putting sprint intervals on the wrong days 10:27 - Mistake 4: To "active recovery" or not? 14:18 - Mistake 5: Doing THIS with every conditioning session 15:45 - Recovery starts with better sleep 17:00 - How the full training week fits together 19:33 - Sequencing vs. exercise selection 20:44 - Velocity 5-Day Hybrid Training program 22:32 - The 60-second hybrid program audit

Most AI fundraising advice is performative gibberish disconnected from capital reality. Arjun Dev Arora, managing partner at Format One, breaks down why founders absorbing social media narratives about billion-dollar pre-seed rounds are setting themselves up for failure. Arjun reveals why traditional VC support models collapse post-check, how technical founders systematically mismanage board dynamics, and why the only defensible AI moats come from proprietary data loops.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this Q+A episode of The Fitness League Podcast, Josh and Alessandra tackle a wide range of listener questions covering electrolytes, peptides, running strategy, hormone health, and how to make your workouts more efficient. We break down when electrolytes are actually helpful (and when they're not), what the current research says about peptides and safety, and how hormones influence muscle growth, recovery, and overall performance. We also discuss running pace goals, injury prevention strategies, and how to structure condensed workouts using supersets without sacrificing results. Along the way, we share updates on app feature development, user feedback, and how community engagement is shaping the future of The Fitness League. If you're looking for practical, evidence-informed guidance to train smarter, recover better, and avoid common pitfalls in today's fitness landscape, this episode delivers clear, actionable insights. As always, the goal isn't perfection — it's progress built through consistency and informed decisions. APPLY FOR COACHING: https://www.lvltncoaching.com/1-1-coaching The Fitness League app https://www.fitnessleagueapp.com/ Macros Guide https://www.lvltncoaching.com/free-resources/calculate-your-macros Join the Facebook Community: https://www.facebook.com/groups/lvltncoaching FREE TOOLS to start your health and fitness journey: https://www.lvltncoaching.com/resources/freebies Alessandra's Instagram: http://instagram.com/alessandrascutnik Joelle's Instagram: https://www.instagram.com/joellesamantha?igsh=ZnVhZjFjczN0OTdn Josh's Instagram: http://instagram.com/joshscutnik Chapters 00:00 Introduction and Host Background 01:12 Weather and Personal Updates 02:03 Electrolytes: When Are They Necessary? 04:16 App Development: Home Screen Widget Ideas 05:53 App Notifications and User Engagement 08:54 Peptides: Research, Safety, and Personal Use 14:17 Sore Lower Back from Sumo Deadlifts: Form and Adaptation 16:06 Choosing the Right Weighted Vest for Training 17:07 Book Recommendations and Current Reads 19:50 Running Program: Pace Goals and Injury Prevention 22:51 Hormones and Muscle Building: Estrogen and Progesterone 24:56 Condensing Workouts with Supersets 27:43 Overcoming Workout Challenges and Consistency

Most founders pitch the wrong metrics while $200 billion flows into AI startups annually. Vijay Rajendran, author of #1 Amazon bestseller "The Funding Framework" and venture builder at gAI Ventures, breaks down why fundraising feels harder despite abundant capital. He reveals the four-part system that shifts founders from pitching to partnering, why retention metrics will expose vanity user counts, and how inference costs are crushing margins for AI companies that don't understand their unit economics.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of "Leaders in Tech," host David Mansilla sits down with Vivek Vaidya, General Partner at Superset, to pull back the curtain on the "Company Builder" model. Vivek shares his 25-year journey from surviving the .com crash to overseeing massive exits to Microsoft and Salesforce.If you are a founder or tech leader, this conversation is a masterclass in Founder-Market Fit, "clock speed," and the grit required to turn a raw idea into a durable, data-driven enterprise.In this episode, you'll learn:The difference between an incubator and a Company Builder Studio.How to identify "Painful Business Problems" before writing code.The secret to surviving a "Hard Right Turn" (Pivot) in a volatile market.Why building technology is easy, but building companies is the ultimate challenge.Whether you're a first-time founder or a seasoned CTO, this episode will change the way you think about resilience and market adaptation.#LeadersInTech #AI #Startups #TechLeadership #VivekVaidya #LeadersInTech #VivekVaidya #Superset #CompanyBuilder #AIStartups #TechLeadership #Entrepreneurship #VentureStudio #DataScience #ScaleUp #FounderGrit #TechPivots #MicrosoftAcquisition #SalesforceMarketingCloud

Most enterprise AI pilots die in the sandbox trap. Miguel Milano, President & CRO at Salesforce with $40B in revenue operations, explains why 95% of AI implementations fail without enterprise-grade data infrastructure and deterministic workflows. He breaks down Salesforce's three-pillar strategy for scaling AI beyond proof-of-concept: data foundations with metadata context, agentic layers that combine probabilistic reasoning with deterministic execution, and apps that codify standard operating procedures into reusable automations.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

For episode 236, we're excited to welcome Jamie Green, COO of Superset, a crypto start-up on a mission to improve stablecoin efficiency & reliability. Before building in Web3, he worked across startups, venture, and the United Nations; including on programs supporting Syrian refugees with blockchain.In this episode, we dive into why fragmented stablecoin liquidity across chains is one of the biggest bottlenecks to real-world adoption; how Superset is building infrastructure to make stablecoin FX cheaper and more dependable; and what builders can learn from operating at the intersection of finance, humanitarian systems, and Web3.You'll learn:

Most founders think storytelling is fluff that distracts from product metrics. Terry Szuplat, Obama's longest-serving speechwriter who crafted eight years of presidential addresses, reveals why narrative craft is your last defensible moat in the AI age. He breaks down the three-part framework that structured 3,000 White House speeches, explains why vulnerability beats data in investor pitches, and shares the "only you can say" principle that cuts through ChatGPT-generated sameness plaguing startup communications.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most VCs chase momentum while missing systematic market dislocations worth billions. Sean Mendy, co-founding partner at Westbound Equity Partners, built a $125M fund targeting the 97% funding gap for underrepresented founders. He didn't do this out of charity, but as alpha generation through expanded deal flow and objective evaluation frameworks. The conversation reveals how network-driven sourcing creates self-reinforcing homogeneity, why impact metrics must align with venture-scale business outcomes, and Westbound's 50% profit-sharing model that attracts values-aligned founders in competitive rounds.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

“Muscle is built in recovery.  It's not built in the workout,” explains Shannon Ritchey, P.T., DPT.  Ritchey, Doctor of Physical Therapy, personal trainer, and the founder of Evlo Fitness, joins us today to share how you can train smarter—not harder—to build strength, protect your body, and finally see results that last. - Workout less & get better results (~4:15) - The effects of overtraining (~7:35) - The problem with group fitness classes (~9:20) - How to structure your week of workouts (~11:50) - Cardio & strength training (~15:05) - Superset training (~18:30) - You need to lift to failure (~19:30) - How to know if you need to lift heavier (~20:40) - The importance of form (~24:15) - Building muscle postpartum (~27:25)  - The power of intentional training (~29:30) - How to dial in nutrition (~30:30) - The role of cardio (~32:50) - Muscle & metabolic health (~36:30) - Beyond the scale (~40:00) - Training your pelvic floor (~42:55) - A new perspective on training during perimenopause (~45:15) Referenced in the episode:  - Follow Ritchey on Instagram (@dr.shannon.dpt)  - Check out her company, Evlo Fitness (https://evlofitness.com/)   - Follow Evlo Fitness on Instagram (@evlofitness)  - Listen to her podcast, The Dr. Shannon Show  This podcast was made in partnership with Gaia Herbs. Your path to stress support starts now.* Visit gaiaherbs.com and use promo code MBGPod to get 20% off. We hope you enjoy this episode, and feel free to watch the full video on YouTube! Whether it's an article or podcast, we want to know what we can do to help here at mindbodygreen. Let us know at: podcast@mindbodygreen.com. *These statements have not been evaluated by the Food and Drug Administration. This product is not intended to diagnose, treat, cure, or prevent any disease. Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us a text if you want to be on the Podcast & explain why!What if your entire coaching business—programming, payments, client feedback, and messaging—lived in one clean, simple place you actually enjoy using? We sit down with Noah, a former baseball player and health coach who joined Superset after discovering how much better training can be when systems work with you, not against you. His story moves from early interests in lifestyle coaching and Z-Health to building features that reflect what coaches really need: speed, clarity, and client results.We dig into practical training insights first: why vestibular and visual drills belong in warm-ups, how a 30-second eyes-closed balance test reveals coordination gaps, and what that means for athletes and aging clients alike. Then we move into the business backbone. Superset's spreadsheet-style builder, Superset Sheets, lets you drag in programs from spreadsheets, PDFs, or videos and instantly translate them into a polished client app. AI tools help speed up programming and synthesize client notes so you can adjust plans without drowning in admin. The activity feed centralizes videos, comments, and progress updates, replacing scattered texts with a structured, searchable dialogue.If you've felt the chaos of juggling Excel, Venmo, and endless DMs, the platform's integrated payments via Stripe, built-in exercise library, and customizable content put everything under one roof. New coaches can use the 14-day trial, add themselves as a test client, and get comfortable with real workflows before onboarding clients. For growing businesses, the pricing scales predictably, and the team ships features based on daily feedback from working coaches—so the product evolves with your needs.Ready to focus on outcomes instead of overhead? Hit play to learn how to set clear boundaries, streamline your tools, and deliver coaching that scales without losing the personal touch. If you enjoy the conversation, subscribe, share it with a fellow coach, and leave a quick review to help others find the show.Want to ask us a question? Email email info@showupfitness.com with the subject line PODCAST QUESTION to get your question answered live on the show! Our Instagram: Show Up Fitness CPT TikTok: Show Up Fitness CPT Website: https://www.showupfitness.com/Become a Personal Trainer Book (Amazon): https://www.amazon.com/How-Become-Personal-Trainer-Successful/dp/B08WS992F8NASM / ACE / ISSA study guide: https://www.showupfitness.com/collections/nasm

On episode 3 of Data Renegades, CL Kao and Dori Wilson sit down with Maxime Beauchemin. They explore the origins of Airflow and Superset, the evolution of open source in the data ecosystem, and how today's tooling reshapes the role of the data practitioner. Max also shares a forward-looking perspective on agentic workflows and how AI is accelerating everything from BI to pipeline development.

Unlock the most practical and effective calisthenics program for building real-world strength, endurance, and resilience. In this episode, we break down Strike Zero — a bodyweight system designed to rapidly improve pull-ups, push-ups, lower-body stamina, and conditioning using simple rules and smart progression. You'll learn how the Strike Zero method works, why strict rest periods matter, and how to tailor the reps to your current level. Whether you're traveling, training at home, or just need a brutally efficient calisthenics routine, this calisthenics program delivers a full-body challenge in under 30 minutes. If you want a leaner, stronger, and more capable body using only your own weight, this is the program to follow. Get ready to upgrade your fitness with one of the most powerful calisthenics programs we've ever created. Episode Chapters:  00:01 Welcome + What Is Strike Zero? 01:16 The 6 Core Rules of Strike Zero 03:35 Supersets, Rest Rules, and Why They Matter 05:50 When to Adjust Reps vs. Rest 07:29 Failure vs. Reps in Reserve 08:28 Form + Execution Questions 09:43 Workout A Breakdown 12:45 Workout B Breakdown 14:50 How Rest Works in a Superset 16:49 Workout C Breakdown 18:48 Conditioning Philosophy Across the Program 21:09 Black Friday Offer + Why the App Matters 22:39 How to Add Strike Zero Into Other Training 24:55 Holiday Mindset: Consistency Over Perfection 26:43 Why Time Off Might Make You Stronger 29:42 Injury Prevention + Long-Term Thinking 30:32 Dave's 5K Goal Update 32:48 Jerred's New Track + Training Experiments 35:59 Kettlebell Snatch Test Results 37:44 Why the Protocol Isn't VO2 Max Magic for Everyone 41:11 When Snatches Become "Stupid" 42:50 Jump Rope and Smarter VO2 Options 44:10 Final Notes + Holiday Deals + Outro

Ready to unlock your client's full performance potential and revamp your own workouts? In this episode of the “NASM CPT Podcast,” host, and NASM Master Instructor, Rick Richey, dives deep into the Strength Endurance Phase of the NASM OPT Model—a game-changing approach for fitness trainers and anyone looking to break through plateaus. Curious why the Strength Endurance Phase is leading the charge for smarter, more effective training? Dr. Richey shares his expert perspective, exploring how superset-style workouts (think up to six sets of six to twelve reps) deliver strength, stamina, and next-level muscle development. Whether you're wondering how to program for “obstinate” clients who skip Phase One or searching for superset examples that challenge and engage, you'll get actionable insights to keep workouts fresh, and results driven. This monologue presentation unpacks the benefits of mixing power with endurance, highlights the strategic use of tempo for muscle fatigue, and reveals how stabilization and coordination play a crucial role in joint health and metabolic demand. Learn how to keep clients invested, boost caloric burn, and set the stage for long-term hypertrophy. Perfect for personal trainers, strength coaches, and everyday gym-goers, this podcast delivers a potent blend of programming wisdom, practical takeaways, and real-life examples. If you want to elevate your fitness offerings and spark your own motivation, this episode is a must-listen. If you like what you just consumed, leave us a 5-star review, and share this episode with a friend to help grow our NASM health and wellness community! The content shared in this podcast is solely for educational and entertainment purposes. It is not intended to be a substitute for professional advice, diagnosis, or treatment. Always seek out the guidance of your healthcare provider or other qualified professional. Any opinions expressed by guests and hosts are their own and do not necessarily reflect the views of NASM. Introducing NASM One, the membership for trainers and coaches. For just $35/mo., get unlimited access to over 300 continuing education courses, 50% off additional certifications and specializations, EDGE Trainer Pro all-in-one coaching app to grow your business, unlimited exam attempts and select waived fees. Stay on top of your game and ahead of the curve as a fitness professional with NASM One. Click here to learn more. https://bit.ly/4ddsgrm

The CPS must always be a superset of actual practices in a properly running CA. We explain why this is a product of good design.

Try SuperSet here: https://www.supersetapp.com/account/user/coach-signup?source=propaneWe are the best in the world at one (oddly specific) thing: Helping online coaches go from 0 to 30 clients in 12 weeks. Here is the exact system explained: https://propanefitness.com/casestudy?el=businesspartnerspApp comparison, plus other bonuses: https://www.propane-business.com/blueprint?el=supersetsp

Keine Zeit für langes Training? Am Ende dieser Folge weißt Du, wie Du mit Supersätzen mehr Muskeln aufbaust – in kürzerer Zeit. Du lernst, welche Varianten es gibt, wie Du sie in Deinen Plan einbaust und warum diese Technik seit Arnold Schwarzenegger zu den Favoriten vieler Profisportler zählt. Ideal für alle, die effizient und trotzdem maximal effektiv trainieren wollen.____________*WERBUNG: Infos zum Werbepartner dieser Folge und allen weiteren Werbepartnern findest Du hier.____________Literatur:Zhang, X., et al. (2025). Superset versus traditional resistance training prescriptions: A systematic review and meta-analysis exploring acute and chronic effects on mechanical, metabolic, and perceptual variables. Sports Medicine, 55(4), 953–975.Robbins, D. W., et al. (2010). The effect of an upper-body agonist-antagonist resistance training protocol on volume load and efficiency. Journal of Strength and Conditioning Research, 24(10), 2632–2640.Nielsen, J. J. S., et al. (2022). A comparison of affective responses between time-efficient and traditional resistance training: A randomized cross-over study. Frontiers in Psychology, 13, 912368.Iversen, V. M., et al. (2021). No time to lift? Designing time-efficient training programs for strength and hypertrophy: A narrative review. Sports Medicine, 51(10), 2071–2085.Campbell, B. I., et al. (2024). Superset training versus traditional set training: Similar body composition changes with half the training time. REPS Magazine, September 2024.____________Shownotes und Übersicht aller Folgen.Trag Dich in Marks Dranbleiber Newsletter ein.Entdecke Marks Bücher.Folge Mark auf Instagram, Facebook, Strava, LinkedIn. Hosted on Acast. See acast.com/privacy for more information.

Today, we're diving into three powerhouse topics straight from the mind of one of my favorite experts, Dr. Layne Norton, and backed by the legendary Dr. Brad Schoenfeld:How muscles actually growWhy short rest times might backfire on your gainsHow to use supersets the right way to balance efficiency with volumeThis episode is for anyone who wants to get stronger, build real muscle, and maximize their time in the gym without spinning their wheels.Resources:Brain.fm App(First month Free, then 20% off subscription)Discount Code: coachdamiensdCaldera Lab Skin Carewww.calderalab.comDiscount Code: CoachDLinks:IG:@coachdamien_sd@damienrayevans@livinthedream_podcast YouTube:https://www.youtube.com/channel/UCS6VuPgtVsdBpDj5oN3YQTgFB:https://www.facebook.com/coachdamienSD/

RIP Virginia Giuffre. Ever wanted to run away? Canada and JB Pritzker against Trump! Do you attract stalkers? Question for black listeners…The Hake Report, Tuesday, April 29, 2025 ADTIMESTAMPS* (0:00:00) Start …* (0:02:00) Virginia Giuffre RIP, runaways* (0:10:25) Hey, guys!* (0:19:01) "Free press," J6, DOJ* (0:21:49) Oh, Canada!* (0:25:39) Gaza hungry* (0:28:07) Illinois crash at after-school* (0:30:35) JB Pritzker exposed* (0:38:42) CHRISTINE, NM, 1st: Why do I get stalkers? Divorced* (0:49:47) JEFF, LA: JB's trans cousin "Jennifer";* (0:51:55) JEFF: Karmelo Anthony moved* (0:54:10) JEFF: Trump trolling* (0:57:58) Trump for the Chiefs, Massapequa, Long Island* (0:59:45) BRIAN, NOLA: One race, the human race, differences unique* (1:16:05) MARK, L.A.: "Free Trade," diverse workers, regulations* (1:27:43) ANDREW, Scotland: Catholics, Muslims* (1:31:26) ANDREW: Singers turning to Christ* (1:37:15) Supers / Coffees* (1:43:52) ALEX, CA: What if whites went away? No-snitch lawlessness* (1:47:37) ROBERT, KS: Socialism, not Capitalism; Superset* (1:52:30) Bright Lights - "Come Out" - 2014, Summer FireLINKSBLOG https://www.thehakereport.com/blog/2025/4/29/the-hake-report-tue-4-29-25PODCAST / Substack HAKE NEWS from JLP https://www.thehakereport.com/jlp-news/2025/4/29/jlp-tue-4-29-25Hake is live M-F 9-11a PT (11-1CT/12-2ET) Call-in 1-888-775-3773 https://www.thehakereport.com/showVIDEO YouTube - Rumble* - Facebook - X - BitChute (Live?) - Odysee*PODCAST Substack - Apple - Spotify - Castbox - Podcast Addict*SUPER CHAT on platforms* above or BuyMeACoffee, etc.SHOP - Printify (new!) - Spring (old!) - Cameo | All My LinksJLP Network: JLP - Church - TFS - Nick - Joel - Punchie Get full access to HAKE at thehakereport.substack.com/subscribe

Join our Stronger Than Your Boyfriend Facebook group to ask questions that we will address on the podcast!Question 1: Any tips on cutting while maintaining muscle? How much do you cut back for and how long?Question 2: What are your opinions on supersets?Question 3: If you're in a deficit, do you track your workout for the day to gain calories back in your “budget”? Would you do it one way for a fat loss phase versus another for a bulking phase?Question 4: Are you able to speak to the quality and accuracy of at home body fat scans?Question 5: Is in person personal training or remote coaching better?Sources Cited: Episode 120 Body Recomp - can you build muscle and lose body fat at the same time?3 weeks to dialing in your nutritionHow to track your macros?Episode 199 Fitness Coach vs Personal TrainerEpisode 48 How to Fire Your TrainerEpisode 142 How to Calculate Body Fat Percentage: Why Current Fitness Measurement Tools Suck

For way too long, I thought training more meant training better. Six or seven days a week, sometimes twice a day, because if I wasn't pushing my limits, was I even making progress?I see this all the time now. People grinding through back-to-back workouts, ignoring the signals their bodies are screaming at them. Constant fatigue, stubborn plateaus, weird little injuries that just won't go away. And for what? More isn't always better. In fact, sometimes, it's the very thing holding you back.I used to think I had to train like an athlete to see results—until my body literally forced me to slow the hell down. The truth is, real progress happens in the recovery, not just in the reps. And if you're stuck, exhausted, or just not seeing the changes you expected… it might be time to rethink your approach.In today's episode, I'm breaking it all down. We'll talk about the signs of overtraining—like constant fatigue, plateaus, and mood swings—and why they happen in the first place. I'll explain how too much exercise can actually mess with your strength, metabolism, and hormones, making it harder to see results. And, most importantly, I'll show you why rest days are just as critical as your workouts and how you can train smarter (not just harder) to get stronger, feel better, and actually make progress.If you've ever felt guilty for taking a rest day, or wondered why your workouts aren't hitting the same way anymore… this episode is for you!Because here's the deal: training smarter > training more. And learning to listen to your body? That's where the real gains happen.I Also Discuss:(00:00) Fitness Q&A(10:46) Effective Strength Training and Fat Loss(24:42) High-Intensity Interval Training (HIIT) & Mobility(32:07) Footwear for Strength Training(38:23) Podcast Thank You MessageThank You to Our Sponsors:Broads: Broads gives you structured, progressive training and a powerhouse community to keep you strong, consistent, and unstoppable. Join today at broads.app and use code PODCAST for 20% off your first month!Legion: Use code Tara20 for 20% off your first order and double loyalty cash back any order after that when you shop at LegionAthletics.comFind more from Tara: Website: https://www.taralaferrara.com/Instagram: @taralaferrara @broads.podcast @broads.appYoutube: Tara LaFerraraTiktok: @taralaferrara

Are you doing too much in the gym and slowing down your own progress? In this weekly live Q&A in Tom The Trainer's Tribe, I dive deep into common training mistakes, including the signs of overtraining, how to time your cardio for maximum fat loss, and why most people are using drop sets the wrong way.Learn how to structure your workouts for better recovery, when fasted cardio actually works, and why a well-balanced training program beats the “grind” mentality every time. If you're looking to train smarter and break through plateaus, this episode is packed with insights that will change how you approach fitness.Join Tom The Trainer's Tribe and message me the word “coaching” on Instagram at Tomthetrainerfitness or Facebook at Tom Trainer Mouland!Have the best day ever! Hosted on Acast. See acast.com/privacy for more information.

Describe what supersetting is and what the goals of supersets are, discuss the physiological responses to supersetting, and discuss the applications of supersetting as it relates to rehabilitation Timestamps 2:30- What is supersetting? 5:25- Evidence of time efficiency 8:21- Physiology of supersetting 10:00- Strength and supersetting 10:53- Power and supersetting 12:29- Hypertrophy and supersetting 16:05- Superset in clinical practice -- ARTICLE CITATIONS used for this episode: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://atcornerds.wixsite.com/home/blog⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AT CORNER FACEBOOK GROUP: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/groups/atcornerpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram, Website, YouTube, and other links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠atcornerds.wixsite.com/home/links⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ EMAIL US: atcornerds@gmail.com SAVE on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Medbridge⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: Use code ATCORNER to get $150 off your subscription Music: Jahzzar (betterwithmusic.com) CC BY-SA — TO GET CEUs, enroll in this course: https://clinicallypressed.org/course/supersets Take the quiz and course evaluation and your certificate will be generated for you! We have no financial disclosures or conflict of interests. -- -Sandy & Randy

In this episode, I discuss when to consider TRT, the benefits of sauna use for recovery and overall health, whether colostrum supplementation lives up to its reputation and lots more. As always, these questions come directly from my Instagram followers, who take advantage of my weekly Q&As in my stories. If you have a question you're dying to have answered, make sure you follow me on Instagram (@muscleforlifefitness) and look out for the Q&A posts. Your question might just make it into a podcast episode! If you like this type of episode, let me know. Send me an email (mike@muscleforlife.com) or direct message me on Instagram. And if you don't like it, let me know that too or how you think it could be better. --- Timestamps: (00:00) Intro (05:38) Lower reps with more sets? (13:07) Hip pain as I age? (21:59) Caffeine on empty stomach? (22:10) Vitamins D, K, C with Triumph? (24:28) Recharge results timeline? (24:59) Kettlebells for resistance training? (25:53) TRT now or later? (26:52) Shoulder pain when lifting? (27:41) Colostrum worth it? (28:58) Partial vs full range reps? (29:23) Morning motivation? (29:36) Whey vs casein for muscle growth? (29:46) Favorite shoulder workout? (30:36) Back position when squatting? (31:14) Saunas and steam rooms? (31:58) Supersets in programs? (32:20) Heavy compounds or isolations? --- Mentioned on the Show: Liposomal Vitamin C Thinner Leaner Stronger Triumph (men) Recharge

In this episode, I discuss when to consider TRT, the benefits of sauna use for recovery and overall health, whether colostrum supplementation lives up to its reputation and lots more. As always, these questions come directly from my ⁠Instagram⁠ followers, who take advantage of my weekly Q&As in my stories. If you have a question you're dying to have answered, make sure you follow me on Instagram (@muscleforlifefitness) and look out for the Q&A posts. Your question might just make it into a podcast episode! If you like this type of episode, let me know. Send me an email (⁠mike@muscleforlife.com⁠) or direct message me on Instagram. And if you don't like it, let me know that too or how you think it could be better. --- Timestamps: (00:00) Intro (05:38) Lower reps with more sets? (13:07) Hip pain as I age? (21:59) Caffeine on empty stomach? (22:10) Vitamins D, K, C with Triumph? (24:28) Recharge results timeline? (24:59) Kettlebells for resistance training? (25:53) TRT now or later? (26:52) Shoulder pain when lifting? (27:41) Colostrum worth it? (28:58) Partial vs full range reps? (29:23) Morning motivation? (29:36) Whey vs casein for muscle growth? (29:46) Favorite shoulder workout? (30:36) Back position when squatting? (31:14) Saunas and steam rooms? (31:58) Supersets in programs? (32:20) Heavy compounds or isolations? --- Mentioned on the Show: ⁠Liposomal Vitamin C⁠ ⁠Thinner Leaner Stronger⁠ ⁠Triumph (men)⁠ ⁠Recharge

How long should you rest between sets to maximize muscle growth? And how does this vary based on exercise type, training intensity, and fitness level? In this episode, I welcome back Brad Schoenfeld, PhD, an internationally renowned fitness expert, author, educator, lecturer, and researcher, who's published over 300 peer-reviewed research articles on exercise science and sports nutrition. We discuss the importance of rest intervals for muscle and strength gain, with Brad offering practical, evidence-based tips for lifters of all levels. In this interview, you'll learn . . . The ideal rest period length for muscle growth and performance Differences in rest requirements for trained vs. untrained individuals The impact of training to failure on rest needs How to auto-regulate rest periods for effective workouts The advantages of short rest periods And more . . . So, if you'd like to optimize your gains and understand how rest impacts your training, click play and join the conversation. — Timestamps: (00:00) Intro (05:13) New Meta Analysis on Hypertrophy (10:20) Untrained vs. Trained Insights (11:30) Training to Failure Effects (12:06) Reps & Hypertrophy Importance (13:57) Individual Training Prescriptions (17:05) Indicators for Next Set Readiness (18:43) Pairing Sets Strategy (21:38) Programming Supersets (23:30) Best Exercises for Supersets (30:34) Thoughts on Pre-Exhaustion (36:53) How to Try Pre-Exhaustion (45:09) Short Rest & Hypertrophy (50:52) Shortening Rest in Training Blocks — Mentioned on the Show: Brad Schoenfeld Instagram Brad Schoenfeld X Creatine Gummies The Little Black Book of Workout Motivation

#MOTIVATIONMONDAY - RUSTY LAMB is joining us for a FREE 1:1 CONSULTATION which is part of our SUPERSET KETO CONSULTATION GIVEAWAY

Less Time, Same Gains: Comparison of Superset vs Traditional Set Training on Muscular Adaptations Burke R, Hermann T, Pinero A, et al. Preprint. 2024. doi:10.51224/SRXIV.419 Due to copyright laws, unless the article is open source we cannot legally post the PDF on the website for the world to download at will. Brought to you by our sponsors at: CSMi – https://www.humacnorm.com/ptinquest Learn more about/Buy Erik/Jason/Chris's courses – The Science PT Support us on the Patreons! Music for PT Inquest: “The Science of Selling Yourself Short” by Less Than Jake Used by Permission Other Music by Kevin MacLeod – incompetech.com: MidRoll Promo – Mining by Moonlight Koal Challenge – Sam Roux

In this episode, I discuss how to improve barbell row strength, strategies for supersetting, my new book release, and lots more. As always, these questions come directly from my Instagram followers, who take advantage of my weekly Q&As in my stories. If you have a question you're dying to have answered, make sure you follow me on Instagram (@muscleforlifefitness) and look out for the Q&A posts. Your question might just make it into a podcast episode! If you like this type of episode, let me know. Send me an email (mike@muscleforlife.com) or direct message me on Instagram. And if you don't like it, let me know that too or how you think it could be better. **** --- Timestamps: (4:12) When is the next book coming out? (06:30) Tips for improving barbell row strength? (07:35) Is lifting 5 times per week better than 4 for results? (08:34) Is the deadlift primarily a back or leg exercise? (10:21) Should cardio be cut out during a clean bulk? (11:40) Thoughts on mouth taping and jaw exercisers? (13:00) Is rucking effective for cardio and muscle strength? (14:32) Are supersets with opposing muscle groups beneficial? (19:10) Top tips for improving sleep quality? (26:48) How does the hip thrust complement deadlift performance? (27:12) Strategies for politely ending gym conversations between sets? (29:16) Is daily red meat consumption harmful? (30:12) After a deload week, should I return to heavier weights or maintain? (30:38) Is the absence of a burning sensation during heavy lifts detrimental to hypertrophy? (32:05) Is additional cardio necessary if I already log thousands of steps at work? (32:53) Why recommend bulking before cutting for skinny-fat individuals? --- Mentioned on the Show: Stronger Than Yesterday The Shredded Chef Lunar Progressive Overload Training Whey+ Legion Diet Quiz

This week Joe is joined by his CPPS co-creator & Team Forever Strong co-founder Jim Smith, aka, "Smitty Diesel"! After a brief discussion detailing how & why they've each lost 5 pounds this week (Lol) - Joe and Smitty begin answering listener questions. Specific Topics Include: 1) What's better for hypertrophy - Supersets of the same muscle or antagonist muscles? 2) What are the best training splits for longevity? 3) Specific exercises/recommendations for "fall prevention" in older clients 4) How to program core exercises for older clients who have vertigo and can't do things on the floor 5) Insight into the creation of "TRIUMPH", aka, Team Forever Strong's newest program... And MORE! *For a full list of Show Notes + Timestamps visit www.IndustrialStrengthShow.com. IMPORTANT LINKS Team Forever Strong [1-Week FREE Trial] "Backwards Walking" study Smitty's Instagram Joe D's Instagram BON CHARGE [code: JOED]

SOF Prep Bundle Sale! Entering the code SOFPREP30 at checkout gets you 30% off your order of Jacked Gazelle, 2&5 Mile Program, SFAS Prep, and the SOF Recovery Guide Ebook

This week Joe covers a wide variety of interesting topics. HIGHLIGHTS INCLUDE: 1) The secret to training when you're NOT motivated 2) The most convenient & accurate way to measure [training] volume 3) The TRUTH about supersets [New Research!] 4) What goes through Joe's mind when he sees an over-fat person exercising? 5) How to properly grab a dumbbell [NOTE: You're probably doing it wrong] 6) How to avoid cheating/pushing off your back leg when performing Reverse Lunges... And More! *For a full list of Show Notes + Timestamps visit www.IndustrialStrengthShow.com. IMPORTANT LINKS Iron Business Blueprint [Apply & Book Your Free Strategy Call] Team Forever Strong [1-Week Free Trial] OG DeFranco's Training Montage Efficacy of Supersets Versus Traditional Sets in Whole-Body Multiple-Joint Resistance Training: A Randomized Controlled Trial Magic Spoon  

To Apply For Coaching With Our Team: CLICK HERETo ask us a question for the next Q+A episode: CLICK HERE Read Our Free Blogs: CLICK HERE

In this solo episode of the Fit2Fat2Fit Experience Podcast, Drew Manning shares his top five tips for maintaining a healthy lifestyle during the summer. Drew covers a variety of topics including how to stay fit on vacation, effective meal prep strategies, essential workout tips, stress management techniques, and quick weight loss hacks to look your best at the beach. Whether you're a busy parent or a dedicated fitness enthusiast, these tips will help you navigate the summer months with confidence and ease. Drew also discusses his favorite products from Peluva and Kion Aminos, offering exclusive discounts for listeners.   SPONSORS: PELUVA - Peluva has reimagined minimalist footwear with innovative design that integrates comfort, function, and style - so you can reclaim your natural movement and build a stronger, healthier body with every step. Click here to unlock 15% off your order, or visit peluva.com/drew. KION AMINOS - Kion's high-quality Essential Amino Acids boost energy, and promote faster muscle growth and recovery to help you look good, feel young, and stay strong. Click here to unlock 20% off your order, or visit getkion.com/drew.   SHOW LINKS:   • Take the Fit2Fat2Fit Podcast Listener Survey • Fit2Fat2Fit Book • Keto School Program • Complete Keto Book • Email Drew: info@fit2fat2fit.com   SHOW HIGHLIGHTS:   • (0:00) - Introduction to the episode and Drew Manning • (0:26) - Overview of the five tips for a healthier summer • (1:04) - Quick weight loss tips for looking beach-ready • (1:31) - Sponsor mention: Peluva minimalist shoes • (4:12) - Sponsor mention: Kion Aminos • (5:29) - Tip 1: How to stay healthy on vacation • (5:42) - Move your body every day, non-negotiable • (8:14) - Allow yourself one cheat or treat meal per day • (8:39) - Intermittent fasting while on vacation • (10:10) - Tip 2: Meal prep tips for busy summers • (11:01) - Using crockpot recipes for easy meal prep • (11:49) - Canned and frozen vegetables as time-savers • (12:36) - Rotating through three to four entrees for variety • (13:31) - Training your brain to be okay with boring food • (14:13) - Tip 3: Effective workout tips • (14:35) - Superset resistance training structure • (16:28) - Cardio days: Zone 2 cardio and HIIT • (18:58) - Benefits of rucking and blood flow restriction training • (20:29) - Tip 4: Stress management tips • (21:03) - Importance of regulating your nervous system • (22:13) - Breathwork, journaling, and other stress management tools • (25:00) - Making decisions from a place of self-love • (26:14) - Tip 5: Quick weight loss hacks for looking leaner • (27:02) - Cutting out fat and carbs, eating just protein • (28:04) - Carbing up before showtime for fuller muscles • (29:46) - Conclusion and sponsor mentions     You can learn more about what I do on my website: https://fit2fat2fit.com   Listen to my podcast, The Fit2Fat2Fit Experience for more amazing content: Fit2Fat2Fit Experience   Follow me on Social!   • Instagram: @fit2fat2fit • Facebook: @fit2fat2fit • Twitter: @fit2fat2fit • TikTok: @fit2fat2fit

Personal training and business go hand in hand. Quite simply, you can't be a successful trainer if you don't have a business plan to help supplement it. On this “NASM-CPT Podcast,” host, and NASM Master Instructor, Rick Richey, is joined by featured guest, CEO of Superset, and former product lead at Spotify, Airbnb, and Google, Taylor Pemberton. The two deep dive into a myriad of different topics regarding personal training and business. They discuss how AI is impacting personal trainers, how to build better relationships with your clients, the best payment plan options for both parties, plus several other helpful tips to help you get ahead and stay ahead! If you like what you just consumed, leave us a 5-star review, and share this episode with a friend to help grow our NASM health and wellness community! Did you hear? The most trusted name in fitness is now the most trusted name in sports performance nutrition. Become an NASM Certified Sports Nutrition Coach and optimize performance and recovery. https://bit.ly/3zengEB

Summary Building a data platform is a substrantial engineering endeavor. Once it is running, the next challenge is figuring out how to address release management for all of the different component parts. The services and systems need to be kept up to date, but so does the code that controls their behavior. In this episode your host Tobias Macey reflects on his current challenges in this area and some of the factors that contribute to the complexity of the problem. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat. As someone who listens to the Data Engineering Podcast, you know that the road from tool selection to production readiness is anything but smooth or straight. In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. I listened to the recent episode "Transforming Your Database" and appreciated the valuable advice on how to approach the selection and integration of new databases in applications and the impact on team dynamics. There are 3 seasons of great episodes and new ones landing everywhere you listen to podcasts. Search for "Code Commentst" in your podcast player or go to dataengineeringpodcast.com/codecomments (https://www.dataengineeringpodcast.com/codecomments) today to subscribe. My thanks to the team at Code Comments for their support. Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I want to talk about my experiences managing the QA and release management process of my data platform Interview Introduction As a team, our overall goal is to ensure that the production environment for our data platform is highly stable and reliable. This is the foundational element of establishing and maintaining trust with the consumers of our data. In order to support this effort, we need to ensure that only changes that have been tested and verified are promoted to production. Our current challenge is one that plagues all data teams. We want to have an environment that mirrors our production environment that is available for testing, but it's not feasible to maintain a complete duplicate of all of the production data. Compounding that challenge is the fact that each of the components of our data platform interact with data in slightly different ways and need different processes for ensuring that changes are being promoted safely. Contact Info LinkedIn () Website (https://www.dataengineeringpodcast.com) Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com) with your story. Links Data Platforms and Leaky Abstractions Episode (https://www.dataengineeringpodcast.com/abstractions-and-technical-debt-episode-374) Building A Data Platform From Scratch (https://www.dataengineeringpodcast.com/designing-a-lakehouse-from-scratch-episode-354) Airbyte (https://airbyte.com/) Podcast Episode (https://www.dataengineeringpodcast.com/airbyte-open-source-data-integration-episode-173/) Trino (https://trino.io/) dbt (https://www.getdbt.com/) Starburst Galaxy (https://www.starburst.io/platform/starburst-galaxy/) Superset (https://superset.apache.org/) Dagster (https://dagster.io/) LakeFS (https://lakefs.io/) Podcast Episode (https://www.dataengineeringpodcast.com/lakefs-data-lake-versioning-episode-157) Nessie (https://projectnessie.org/) Podcast Episode (https://www.dataengineeringpodcast.com/nessie-data-lakehouse-data-versioning-episode-416) Iceberg (https://iceberg.apache.org/) Snowflake (https://www.snowflake.com/en/) LocalStack (https://www.localstack.cloud/) DSL == Domain Specific Language (https://en.wikipedia.org/wiki/Domain-specific_language) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

In this episode of Quah (Q & A), Sal, Adam & Justin answer four Pump Head questions drawn from last Sunday's Quah post on the @mindpumpmedia Instagram page.  Mind Pump Fit Tip: You are only as strong as your weakest link. (1:51) Sleeping is the MOST anabolic thing you can do. (9:24) Kids say the darndest things. (21:45) Trivia with Adam: How many Starbucks and churches are in the U.S.? (23:37) How many crimes are prevented by civilians with guns? (27:33) Justice against car thieves. (31:03) We are that much closer to Minority Report. (32:34) How many days does it take to turn a behavior into a habit? (36:16) What skills are we going to lose because of technology? (41:06) The first luxury submarine. (49:58) No matter how old you are, your body will build muscle and strength. (52:19) The best stimulant-based pre-workout. (55:55) Shout out to the Mind Pump Private Forum! (56:43) #Quah question #1 - What are supersets, and how do you effectively program them? (58:01) #Quah question #2 - Why do I feel it in my hip flexors when I plank? How can I correct my form? (1:01:09) #Quah question #3 - Have you ever had to fire a client because they didn't want to listen to your advice or do what you were telling them to do? (1:04:54) #Quah question #4 - I am looking to get my 11-year-old son started on weightlifting. He is an active athlete involved in football, soccer, wrestling, and lacrosse. What are the basic moves I should get him started with? At what point should I introduce him to a MAPS program? (1:11:45) Related Links/Products Mentioned Visit Eight Sleep for an exclusive offer for Mind Pump Listeners! ** Get $200 off plus free shipping on the Pod Cover by Eight Sleep. Stay cool this summer with Eight Sleep, now shipping within the USA, Canada, the UK, select countries in the EU, and Australia! ** Visit Organifi for the exclusive offer for Mind Pump listeners! ** Code MINDPUMP for 20% off ** February Promotion: MAPS Performance | Extreme Fitness Bundle 50% off! Code FEB50 at checkout Mind Pump Private Facebook forum  Fire up your Central Nervous System to maximize Muscular Adaptation – Mind Pump Blog Mind Pump #2027: How To Improve Your Squat, Bench, And Deadlift Strength Sleep Deprivation: Effects on Weight Loss and Weight Loss Maintenance - PMC Sleep loss limits fat loss, study finds - University of Chicago News Sleeping less than 6 hours may raise risk of cancer, even death Number of Starbucks locations in the USA in 2024   What to know about a shooting at Joel Osteen's megachurch Guns Prevent Thousands of Crimes Every Day, Research Shows Brilliant Labs How Long Does It Actually Take to Form A New Habit? Inside the World's First $3 Billion Luxury Super Submarine Muscle Mass and Strength Gains Following Resistance Exercise Training in Older Adults 65-75 Years and Older Adults Above 85 Years Visit Brain.fm for an exclusive offer for Mind Pump listeners. ** Get 30 days of free access to science-backed music. ** How To Use Supersets For Maximum Muscle Gain - Mind Pump Media The 20-Minute Full Body Superset Workout That Hits Everything (TRY THIS) How to do a PROPER Plank Hip Flexor Deactivators- Do these first to maximize your Ab development Mind Pump Fitness Coaching Course Mind Pump #2277: The Five Best Sports For Kids Mind Pump Podcast – YouTube Mind Pump Free Resources

This week Joe answers 3 listener questions. TOPICS INCLUDE: 1) Joe's thoughts on David Goggins training Tony Ferguson for his upcoming UFC fight 2) If muscle is "the organ of longevity" why do so many heavily-muscled individuals die young? 3) Why does Joe incorporate supersets into so many of his programs? [BONUS: Pro Tip for programming supersets] *For a full list of Show Notes + Timestamps visit www.IndustrialStrengthShow.com. Important Links | People Mentioned Manukora Honey The DeFranco Whey @defrancosgym @drgabriellelyon @davidgoggins @tonyfergusonxt