# "I built Claude Code. Here are my ten hacks" (masterclass) ## Метаданные - **Канал:** Nick Saraev - **YouTube:** https://www.youtube.com/watch?v=zbCxi7CjiF0 - **Дата:** 01.02.2026 - **Длительность:** 20:20 - **Просмотры:** 28,663 - **Источник:** https://ekstraktznaniy.ru/video/11687 ## Описание 🔥 Join Maker School & get customer #1 guaranteed: https://skool.com/makerschool/about 📚 Watch my NEW 2026 Claude Code course: https://www.youtube.com/watch?v=QoQBzR1NIqI 🎙️ Listen to my silly podcast: www.youtube.com/@stackedpod 📚 Free multi-hour courses → Claude Code (4hr full course): https://www.youtube.com/watch?v=QoQBzR1NIqI → Vibe Coding w/ Antigravity (6hr full course): https://www.youtube.com/watch?v=gcuR_-rzlDw → Agentic Workflows (6hr full course): https://www.youtube.com/watch?v=MxyRjL7NG18 → N8N (6hr full course, 890K+ views): https://www.youtube.com/watch?v=2GZ2SNXWK-c Summary ⤵️ 3 simple yet high-value AI automations that coaches will gladly pay $1.5K for — even if they sound boring. These aren’t flashy, but they solve real problems and sell easily. My software, tools, & deals (some give me kickbacks—thank you!) 🚀 Instantly: https://link.nicksaraev.com/instantly-short 📧 Anymailfinder: https://link.nicksaraev.com/amf-short 🤖 Apify: https://console.apify.com/sign-up (30% ## Транскрипт ### Introduction & Boris Cherny [] In case you didn't know, this fell here, Boris Churnney, is the guy who created Claude Code. And every couple of weeks, he drops a biblical X thread all about how he uses Clawude Code to improve its effectiveness. Now, this is pretty big. Imagine if El Chapo taught you how to deal drugs, or Brian Johnson make soccer moms uncomfortable. What I'm getting at is these are masters in their craft, and every time Boris talks about this, the effectiveness of every Cloud Code user goes up significantly. The issue is a lot of his tips and techniques are kind of uninterpretable. So what I want to do in this video is go through all of them and actually give you hands-on examples inside of Claude Code so that by the end of it you too can be the El Chropo of your own little universe. The only thing you need to follow along is a Claude code instance of your own inside of either VS Code, Anti-gravity or another IDE. I'm going to be using VS Code for simplicity. Okay, so the first major hack is this idea of git work trees. To make a long story short, this is where you run different instances of cloud code each on different branches of a repository. By doing this, you basically parallelize your workflow building after which you can merge all of these routes together with the assistance of AI. Now, for the uninitiated, Git is what's called a version control platform. And that basically just means you can track all of the changes made to a folder or a repository using this tool. In this pretty simple example, we start out with this one branch in blue called the main branch. And essentially, every time a developer needs to work on a specific feature or a particular bug fix, what they'll do is actually branch out and create a new one as we see here in red called bug fix branch. They do this because typically the things that need changing in the bug fix branch don't necessarily affect the things that people are working on in the main branch. And in this way you can have multiple developers and programmers working on multiple different features of a file. Get work trees. You take these branches and put them into different folders. Then you can have multiple instances of Claude, Codeex, Gemini or whatever your agent is working on these different folders in parallel to develop different features. When you're done with all this, what you do is you merge them back together. I was unable to find a good enough diagram showing that. But as you see here, we have a main route in blue and then sort of a temporary branch that was generated in red. Well, what basically happens is they merge back to both the same path. And this nowadays is typically facilitated again through AI. So to give ### Git Worktrees Explained [2:27] you guys a quick example of this in action, this is a website that I developed for Maker School, my community, just as a demo to show people how easy and fast it is to build your own AI automation agency website using a tool like Cloud Code. And really what all websites are under the hood is just a bunch of HTML hypertext markup language arranged something like this. So what I have is in my VS code instance a folder called leftclick- agency that contains both the index html and then some additional tertiary files here that contain other stuff in my workspace. All of this exists in a folder termed leftclick- agency. Now this is what it looks like in Mac OS. Might look a little bit different where you are. Now, let's say I want to work on three features simultaneously. Maybe instead of a website, this is a really big fat app. And I figure most of these changes are going to take a fair amount of time. I also figure that each of these new features that I'm adding on are sort of a little bit different from each other. They don't require rebuilding of the main app or the main website itself. Maybe in our case, I'm just developing different pages. So, what I do is I create three separate folders which are duplicates of my main folder. one called leftclick-about, one called leftclick- contact, and the last called leftclick-services. What I'm going to do now is open up three separate instances of cloud code. And I'm just going to arrange them in such a way that I can look at all of them simultaneously. Once I have these three open, I'm going to add a prompt. Let's take a look at the middle pane here because I think that'll be easier for us. Navigate to leftclick- contact. Your task is to build a new contact page in a new git work tree. Develop in the same style as the original. Research Nick Sarif leftclick. ai. AI, do whatever else you need to ensure this accurately reflects a highquality contact page. Now, what I'm going to do next is turn all of these three on and have them all working in their own separate instance. And at the very end, what we're going to do is combine them all together. With all of this done, we can proceed in any developed app 3 to 5x faster depending on the number of panes that you open. I should note that you are going to have some slowdown because as you're going to see in a moment, the merge process is not instantaneous. But the more parallelized you make the workflow, obviously the better and faster this gets. And this is going to apply if you're building anything, whether it's a website, a full stack application, an automated workflow, an agentic workflow, whatever it is under the sun. Get workree style development can help you. So, looks like all three of these branches are now done. I'm just going to go back to my file explorer here. And if I click on the about, you'll notice there's now an about. html. In contact, there's a contact. html. And in services, there's a services. html. HTML. Once done with all of that, what we can do is go back to an instance of Cloud Code and then just ask it to merge these three branches for us. So, I'll say, could you merge the three branches I just did a bunch of development on for me, leftclick services, leftclick about, and leftclick contact. I'd like all three of these merged with the main branch. No conflicts etc. Once you're done, you now have three pages. In this case, this is the contact page, which is pretty sexy. There's also an about page here that actually has a bunch of in-depth information on me, and so on and so forth. So, that's how you build an app really, really quickly using Git Work Trees. Git Workree style development is facilitated and made much easier with a particular terminal tool called Ghost TTY, which Boris talks a fair bit about and I'll cover a little bit later on. But with Ghost TTY, you can have four, 5, 10, 15 of these operating simultaneously on different feature branches. And you can also very quickly jump back and forth and so on and so forth with a couple of quick terminal commands. So stay tuned for ### The Importance of Planning [6:04] that. The second major tip is planning. Now, you probably already know about plan mode, but suffice to say, a minute of using plan mode effectively will literally save you and your agent hours and probably many dollars of building. Boris talks a lot about that in his big post. Instead of rushing to code, he recommends that you build an in-depth, very thoughtful plan first. And then if you're going to edit something, edit that rather than editing the actual created application itself. Because by doing so, you shave off tons of implementation time. At the end of the day, research occurs 10 100 times faster than the actual building. So only after you've edited your plan to perfection should you actually start. For instance, I have here a little YouTube workspace that I set up to help me build automations. And maybe one automation that I want to build today is an automated video editing workflow. This is basically going to be a little backend app that I'm going to build where I just give it a video and then I want to cut out all of the silences. So the first thing I'm going to do is open up a cloud code instance and then go down to the bottom here and say plan mode. Plan mode will basically force this to build in a tremendous amount of research and then check with me before it does anything. Now I'm going to use a voice transcription tool. I'm just going to talk to it like I talk to you and ask it to do what I want it to do. Hi, my goal is to develop a simple video editing workflow. I want to provide you a video somewhere between 5 to 15 minutes in length and then I want you to edit out all of the silences in the video using some form of automated silence detection. I've tried building workflows like this uh using a variety of methods. Not all of them have been super easy or straightforward. The most common issues that I've found so far typically include the library or service that we're using for automated voice detection tripping up and then cutting into or a little bit after a segment of speech that I want cut. So I want you to use a very highquality voice detection platform. And I want to be able simply to give you a video, have you take it, detect all the silences, cut out all the silences, and then return me the smaller, significantly faster, more optimized file. I'm now going to dump that in there. And then we just remove the I'm now section. I'm going to press enter and I'm going to have it go on its way. Okay. Once done, it'll show you a plan. Now, in this case, it's video silence removal workflow using Cero voice activity detection. So, it's actually gone through. It's found a really high quality library. I know this is a high quality library because I've actually used this thing before for a variety of purposes. And it's telling me what it is planning on doing. implementation plan, create execution script, create directive, usage. There are a bunch of parameters here that are tunable and so on and so forth. So, I'm reading through this. This looks pretty interesting. Um, in my case, I like it. So, I'm just going to say yes and auto accept. Then after it's done, I'll move over to bypass permissions, which is sort of the crazy wild west cowboy raw dog version of cloud code, which I like using. Why does this matter? Well, it adds a lot to revision time. It's like if you've ever worked in a service capacity before, a freelance capacity before for a client, it kind of makes sense to spend a lot of time and energy clarifying the scope up front of what you are planning on doing than to just say, "Yeah, I'll figure it out. " Do all the work, give it to them, and then have them be unhappy with it, and then ### Enhancing Claude.md [9:11] force you to revise it. Right. Boris's third tip is to iterate through your claude. md. Now, if you didn't know, your claude. md is basically your system prompt. It's what is injected at the top of every conversation you ever have with Claude. If you're using a different agent coding platform, let's say Codax or something like that, this will be stored in a different file. There might be an agents. m MD instead of a cloud. MD, maybe a Gemini. m MD and so on and so forth. And so the benefit to having a really airtight strong claw. md is obviously you can avoid the agent from making mistakes that agents tend to make mistakes on. Boris's whole point is if something happens that you don't like, you can just update your claw. mmd to prevent it from happening again. Also, a lot of the time when you're developing something, your agent will make some stereotypical or prototypical mistake. Well, if you just add a single line of instruction to your cloudmd to say, "Hey, why did you do that or stop doing this? " It won't do that again, which might save you a lot. So, there's a really simple and easy workflow hack here. Every time that this happens, you just say, "Hey, add this to claw. MD such that a future version of claude with no context would be able to oneshot what we just it. " A lot of people think you have to update your claw. md manually. You absolutely don't. Just have your agent do it. over back here where I merged the three branches for that git workree example. I'm now just going to say update claw. md to reflect everything we just did here. I. e. I want to be able to say merge with git workree. And then you'll automatically know how to do all of this. It's then going to reread your cloud MD and then update it to reflect that you know line of instruction specifically mine about adding an about a contact or services or basically just working on multiple things simultaneously and how to ### Utilizing Skills and Git Commits [10:48] interact with that. Next is to use skills and also get commit them. If you're unfamiliar, skills is Claude Code's way of basically stereotyping a standard operating procedure and just doing it the same way every time. It's very similar to directives, orchestrations, executions, if you're familiar with that idea. And what Boris heavily recommends is just to make like a skills GitHub repo and store all valuable skills there. That way, anybody on your team or within your company can quickly just pull skills as needed into their own repos. So for instance, I have a claude skills workspace here that I developed for a course a while back. Just showing people how to build skills and stuff like that. What I'm going to do here is I'm just going to say create a GitHub repository and push this there. Then in another version of Claude Code, whether it's yours or maybe your colleagues or something, you can actually just tell it to grab a specific skill from whatever the GitHub repo is called. You can also grab all of the skills if you want as well, but I just want to show you how to do one. It's gone through and it's found the skills workspace. And then as it finishes, you see we got the same skill that we had previously, just now loaded locally on ### Streamlining Bug Fixes [11:49] our own repo. The fifth tweak is pretty self-explanatory, frankly, and I don't really think it's worth me showing you guys, but he's very confident that you can oneshot most bug fixes with Claude by feeding in the error codes. I think this depends on whether or not you're like an actual programming outfit and you even you have like a bug fix channel in a Slack or whatever, but he says you can just connect Claude code to Slack using the Slack MCP and then just copy and paste the error directly into it and it'll do fine. I don't know about you, but I think the whole idea of programming is I can do it all myself. So, I don't have a bug fix channel, although maybe I should. If I report a bug, I'll just do so directly in Cloud ### Crafting Better Prompts [12:23] Code. The next is better prompts. And I really like this one. after a crappy fix or a crappy build, just tell Claude Code, "Hey, knowing everything you know now, scrap this and implement the more elegant solution. " This is cool because you can conceptualize what Claude is doing is basically searching over a big volume of potential solutions. So, let's pretend the solution that you really, really want is this little green bubble over here. Okay? And so, this is going to be the solution. Good god, that looks terrible. Now, Claude's going to try a bunch of things in its initial naive search strategy. It's going to try searching here. And if that doesn't work, it'll then finally, at the very end, it might search here and get a portion of your solution or something like that. And it'll kind of zoom in and do more searching within this big solution space. The issue is when you do this 1 2 3 4 and then five times in total. um you know your repo gets pretty messy because you have all of the stuff of the first solution, all second solution and third and fourth and fifth when in reality it was really just that fifth one that actually contained what you needed. So at this point instead of having like a really busy repo just tell cloud hey scrap everything except for the valuable bit. Go and recreate those almost as if you didn't do 1 2 3 and four and at that point what's in the context window ### The Power of Ghost TTY [13:37] becomes pretty valuable. The next major tip is ghost tty. So this is actually what Enthropic or some Enthropic team members I should say probably the ones that work with Boris use on a daily basis. What it is just another terminal manager that's faster. It renders more colors. It's also less compute intensive which is particularly important if you're running like 50 million Git work trees simultaneously. Also has shortcuts to quickly split screens which is really useful when you're running a bunch of different cloud code instances in the terminal. This is what mine looks like. It's pretty straightforward. Um I could just type claude and then I can have it run. I could go claude dangerously skip permissions. Then I could have it run uh I could go claude here, claude here. Maybe I want this one to be my super dangerous one. Uh and then I could say, I don't know, write me a story. Now, what's really cool about this is instead of me having to like manually move my mouse and then click on all these different branches, which um you know I was doing previously, I can just hold command and then I can go to the right or to the left. Command shift and then press enter. It'll actually open up my currently maximized or focused tab, which is kind of neat. So, I can go back, close that out, and then maybe I can go over here. Write me a limmerick about Sally, my first true love. It's a dog. Maybe over here, we'll go back and I'll say, um, write me a program that automatically fetches the top 100 posts in hacker news. Then run it. And then maybe over here, I'll say compile your research dossier on Nixar. And it's clearly evidenced I'm not famous enough yet because all these damn things misspell my names. All right. So, you know, when things require some help or notification, you can very quickly just jump over to the specific piece that you want. That's kind of neat. Yes, I do want to proceed. Yes, I would like to proceed and so on and so forth. At any point in time, if I wanted to, I don't know, split this and have more terminal instances, I could actually just hold command and press D. That'll open up one. If I hold command, shift and D, that'll open up them vertically. And so in this way you can actually open up, as you see here, an absolutely ridiculous number of terminal instances everywhere. I'm just splitting them all the way through, scrolling through. Uh, and what's really cool is, as mentioned, this doesn't really take too much on the compute side of things, and personally, I just like how clean it is. Now, this is more of a programming thing, but is ### Leveraging Sub-Agents [15:44] what it is. Tell me all about Moltbot. Boris's eight major tip was on sub agents. And in case you guys didn't know, I hated sub aents until quite recently. I just thought sub agents were a royal waste of time because the vast majority of the time, the amount of time it would take to call the sub agent would take longer than if you just did it on the main thread. And I thought sub agents were more of a symptom of really shitty context management. But anyway, as technology continues its ceaseless march towards the future, now they're pretty solid. So you can call them to parallelize tasks and save time. So to do so, I'll just jump into Visual Studio Code and I'll say you can now create sub agents. I'd like you to create a specific claude sub agent that reviews code after you're done writing it. The main agent will call the sub agent at the end of every major write process and use it to confirm that the code was written in as efficient a way as possible because this sub agent will have no context. It will be able to evaluate the code objectively, not polluted by prior work. Now, I should note that for whatever reason, this isn't actually yet built into cloud code. Like, it just doesn't know natively if you tell it to do that. So what I had to do here is immediately after asking it, I had to say look up cla sub aent ability. It's a specific piece of functionality offered by claude. Now what's really funny is in order to do the research for this task, it actually spun up a bunch of sub aents itself called research sub aents which are just part of the way that this now works. Anyway, now it's gotten all the information about what a sub aent looks like. And what I'll do is I'll just add this to my cloud. md. So the next time I can just say, hey, write make me another sub aent. Great. Add this to cloud. md. So you can create sub aents the first go next time. What gets created is a new markdown file called code- reviewer. Um it goes through and then provides a bunch of instructions here and this is essentially the claw. md for that specific agent. It then also gives it some tools like read grap glob. What these do is not super important but at the end of it you can now ask it to look over any code. So I have a bunch of code over here. Why don't I go over here to website email scraper and then I'll say use the code- reviewer sub aent to review website email scraper. py in executions. Now instead of having to do all of this itself, it will now spin up a new task here called review website scraper that has its own input up here in the top right hand corner. And this is basically like the prompt that the parent agent gave to the sub agent. At the very end of it, we then get some information. So the script is production ready with minor improvements, well structured async code and so on and so forth. So what you can do is you just give that back to the main agent or build a very simple flow to give that back to the main agent um automatically and then it'll just like always constantly be writing higher quality code. I have a feeling Boris has to do a fair number of like database calls and analytics based things in his day-to-day because he included an additional one called data and analytics. The takeaway here was just have Claude stop writing manual database queries. He's like I haven't written a line of SQL in 6 months and all the power to you buddy. I never did that to begin with, but sure. ### Explanatory Output Style [18:37] Finally, the last piece of advice and one that I consider pretty valuable is explanatory output style. Basically, inside of the cloud code config, there's the ability to enable an explanatory or learning output style. And that's where every time Claude will do something, it will just give you some sort of reason or justification why. Additionally, you can ask Claude to generate HTML or asky diagrams for you. Every time it does something that you're not sure about. By doing this, you can also get a visual view of what's going on. In order to reach that, just head over to your cloud code instance and say output styles. That'll open up a little terminal query here, which may be kind of intimidating again if you guys are used to using the main one, but that's okay. You can then just scroll down to explanatory or learning. If you go explanatory, it'll explain its choices and codebased patterns. Whereas, if you go learning, it'll actually stop and ask you to write small pieces of code for hands-on practice. This is how they try and stop people from sucking more and more at code as this takes more of its work. More of your work. That's to be understood. Just like the calculator removed our need to do like manual uh mental math. So too has Claude removed our need to do smaller little coding operations and so on and so forth. Alternatively, you can also go directly to whatever Claude instance just built you something and say create me a simple asky diagram showing me what you just did. It'll then go through and actually create one for you. Um I really like this because this to me is like the fastest way of immediately having a visual understanding what's going on. And here I have it. So main conversation, I asked you to call the sub agent. It then spun up some isolated context with some review instructions. It read the scraper and then it did the stuff. Obviously, as you build more and more complicated things, this becomes more valuable. Okay, I hope you now know everything you need to be the El Chapo of your own personal universe. Thank you very much for watching and I hope you guys appreciated the clock code walkthrough. I have love you rest today.