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10 Programming Mistakes That Will RUIN YOUR LIFE

The Coding Sloth • 11:53 minutes • Published 2025-05-30 • YouTube

📚 Chapter Summaries (9)

🤖 AI-Generated Summary:

📚 Video Chapters (9 chapters):

📹 Video Information:

Title: 10 Programming Mistakes That Will RUIN YOUR LIFE
Channel: The Coding Sloth
Duration: 11:53
Views: 89,319

Overview

This video explores ten common programming mistakes that can derail one's learning, productivity, and career progress. Organized into nine chapters, the video takes viewers from foundational pitfalls (like skipping basics and overengineering) to issues with workflow, mindset, and project management (such as shiny object syndrome and feature creep). Each chapter builds on the previous, guiding viewers through a progression from technical fundamentals to practical and psychological strategies, ultimately providing a comprehensive roadmap for becoming a more effective and resilient programmer.


Chapter-by-Chapter Deep Dive

Skipping the Fundamentals (00:00)

Core Concepts:
The chapter warns against bypassing foundational programming knowledge (variables, loops, functions, etc.). Many beginners are tempted to jump straight to advanced topics or rely on copying code without understanding.

Key Insights:
- Skipping fundamentals leads to confusion, inability to debug, and vulnerability in technical interviews.
- Even though fundamentals can seem boring, mastering them accelerates later learning and productivity.

Actionable Advice:
- Commit to learning basic concepts thoroughly before moving on.
- Accept the initial boredom as an investment in long-term skills.

Examples:
- Copy-pasting code without understanding leads to problems when things break.
- Being exposed in interviews for not understanding basic concepts.

Connection to Theme:
Sets the stage for the video’s focus on building a solid, realistic foundation for programming success.


Writing Clever Code (01:16)

Core Concepts:
Prioritizing clever, compact code (especially in interviews or shared codebases) over readable, maintainable code is a common mistake.

Key Insights:
- Clever one-liners might impress in forums but confuse collaborators and interviewers.
- Readability trumps cleverness unless there’s a clear, unachievable performance gain.

Actionable Advice:
- Write code as if someone else (or your future self) will maintain it.
- Avoid unnecessarily complex solutions, especially in collaborative or interview settings.

Examples:
- “Leetcode gods” posting inscrutable one-liners.
- Interviewers unimpressed (or confused) by over-clever code.

Connection to Theme:
Reinforces the importance of communication and maintainability, building on the foundation stressed in the previous chapter.


Sloth Bites (02:12)

Core Concepts:
This chapter promotes the "Sloth Bites" newsletter and segues into the value of experimentation and learning through mistakes.

Key Insights:
- Fear of breaking things hinders learning; experimentation is crucial.
- Most beginner projects are low-stakes, so errors are not catastrophic.

Actionable Advice:
- Embrace mistakes as learning experiences.
- Use Git/version control for safe experimentation and easy recovery.
- Don’t strive for “perfect” code at the start; focus on learning through doing.

Examples:
- Treating codebases like bombs prevents progress.
- Version control as the “quick save” of programming.

Connection to Theme:
Encourages a growth mindset, emphasizing that real learning comes from hands-on practice and risk-taking.


Overengineering (03:26)

Core Concepts:
Explores the trap of overengineering—using enterprise-level complexity for simple personal projects.

Key Insights:
- Beginners often overapply advanced concepts learned from big tech blogs/books.
- Mimicking large-scale architectures for small projects leads to premature burnout and project abandonment.

Actionable Advice:
- Don’t blindly copy enterprise patterns; assess their actual necessity for your context.
- Recognize that large companies evolved their systems over years with large teams.

Examples:
- Attempting to build a Discord clone with full-scale architecture and failing early.

Connection to Theme:
Warns against misapplying knowledge, urging balance between learning best practices and practical application.


Dont Overengineer (04:35)

Core Concepts:
A direct follow-up, reinforcing the pitfalls of overengineering and offering permission to scale down.

Key Insights:
- Enterprise solutions are a response to scale, not a default.
- Personal projects don’t need (and can’t support) enterprise-level complexity.

Actionable Advice:
- Only use complex architecture for system design interviews or genuine need.
- For side projects, focus on simplicity unless the goal is purely educational.

Connection to Theme:
Advocates for pragmatism and context-aware decision-making, continuing the thread of practical project management.


Use Gmail (05:13)

Core Concepts:
Begins as a sponsor segment (Notion Mail) but shifts to user-centric design and workflow considerations.

Key Insights:
- Tools like Notion Mail can streamline workflow, but the real lesson is not to assume users think like developers.
- Programmers often overestimate user technical knowledge, leading to confusing interfaces.

Actionable Advice:
- Design with non-technical users in mind; test with real people.
- Use automation and AI features to handle routine tasks and focus on actual work.

Examples:
- Notion Mail features: automatic labeling, AI writing help.
- Hamburger menu confusion among non-technical users.

Connection to Theme:
Expands from code to user experience, reminding programmers their audience is not always like them.


Starting Too Big (07:05)

Core Concepts:
Addresses the problem of biting off more than you can chew with massive project ambitions.

Key Insights:
- Large, multi-feature projects often stall and lead to burnout.
- Unrealistic scope results in unfinished work and disillusionment.

Actionable Advice:
- Avoid starting with complex, all-encompassing apps.
- Recognize the warning signs of burnout and scale back.

Examples:
- Planning a productivity app with dozens of features, then losing motivation.

Connection to Theme:
Pivots to project management, linking psychological pitfalls (burnout) to technical ones.


Start Small (07:39)

Core Concepts:
The antidote to the previous chapter: start with small, manageable goals.

Key Insights:
- Focus on building a Minimum Viable Product (MVP) that does one thing well.
- Feature creep (trying to add too much at once) is a major risk.
- Documentation and not reinventing the wheel are crucial habits.

Actionable Advice:
- Build and solidify one small feature before moving on.
- Document your code for yourself and others.
- Use existing libraries unless you have a compelling reason not to.
- Track your own progress rather than comparing yourself to others.

Examples:
- Starting with “create note” in a note-taking app.
- The “four lies” programmers tell themselves about documentation.
- Comparing your progress to your past self, not social media highlights.

Connection to Theme:
Provides concrete, positive strategies to counteract earlier mistakes, culminating in practical, sustainable project development habits.


Shiny Object Syndrome (11:04)

Core Concepts:
Describes the tendency to constantly chase new technologies or projects, resulting in nothing ever being finished.

Key Insights:
- Jumping from one tool or project to another prevents meaningful progress.
- Signs include many unfinished projects, surface-level knowledge, and a long list of unread resources.

Actionable Advice:
- Pick one technology/project and stick with it until completion.
- Recognize and resist the urge to constantly switch focus.

Examples:
- Multiple “Hello World” apps but no completed projects.
- Unread “Ultimate Guides” piling up.

Connection to Theme:
Brings the video full circle, reinforcing focus, persistence, and the value of finishing what you start.


Cross-Chapter Synthesis

Recurring Themes:
- Foundational Mastery: Skipping the basics (Chapter 1) leads to downstream problems with code readability (Chapter 2), overengineering (Chapters 4-5), and user misunderstanding (Chapter 6).
- Pragmatism Over Perfection: Chapters 2-5 stress that code should be readable, projects should be right-sized, and overcomplicating is a common trap.
- Learning Through Doing: Experimentation and embracing mistakes (Chapter 3) are key for growth, echoed in later advice about starting small and documenting (Chapter 8).
- User Focus: Both workflow (Notion Mail in Chapter 6) and product design need to be user-centric, not developer-centric.
- Mindset and Sustainability: The dangers of burnout, comparison, and shiny object syndrome (Chapters 7-9) highlight the psychological challenges of programming and offer mental strategies alongside technical ones.

Learning Journey Outline:
The video moves from technical foundations (Chapters 1-2), through practical working habits (Chapters 3-6), to project management and psychological resilience (Chapters 7-9). It starts with internal skills, expands to external considerations (users, tools), and ends with mindset—demonstrating a holistic approach to becoming a well-rounded programmer.

Most Important Points Across Chapters:
- Learn fundamentals before anything else (Chapter 1).
- Write readable, maintainable code (Chapter 2).
- Experiment and embrace mistakes, using tools like Git (Chapter 3).
- Don’t overengineer; match solution complexity to your actual needs (Chapters 4-5).
- Prioritize user experience and user-centric design (Chapter 6).
- Start small, focus on MVPs, and avoid feature creep (Chapters 7-8).
- Document your work and avoid reinventing the wheel (Chapter 8).
- Compare yourself to your own progress, not others (Chapter 8).
- Avoid shiny object syndrome; focus and persevere (Chapter 9).


Actionable Strategies by Chapter

Skipping the Fundamentals (00:00)

  • Commit to learning basic concepts like variables, loops, and functions.
  • Resist the urge to skip ahead or just copy code.

Warnings:
Skipping fundamentals leads to confusion, inability to fix problems, and poor interview performance.


Writing Clever Code (01:16)

  • Prioritize clarity and readability over cleverness unless performance dictates otherwise.
  • Write code you (or others) can easily explain and maintain.

Warnings:
Clever code impresses no one if it’s incomprehensible; especially bad in interviews/teams.


Sloth Bites (02:12)

  • Embrace trial and error as a learning method.
  • Use Git/version control to experiment safely.
  • Don’t be afraid to “break” things, especially early on.

Warnings:
Being too cautious slows learning and leads to stagnation.

Resources:
Sloth Bites newsletter (for ongoing tips).


Overengineering (03:26) & Dont Overengineer (04:35)

  • Match your solution’s complexity to the project’s actual requirements.
  • Use advanced architectures only when genuinely needed, not by default.
  • For learning: experiment freely, but recognize when it’s just for fun.

Warnings:
Overengineering small projects wastes time and leads to burnout or project abandonment.


Use Gmail (05:13)

  • Use tools (like Notion Mail) to automate routine tasks and improve workflow.
  • Design products with non-technical users in mind; test with real people.
  • Use AI features for efficiency (e.g., AI-generated email drafts, auto-labeling).

Warnings:
Assuming user knowledge matches your own leads to poor user experience.

Resources:
Notion Mail (for email management).


Starting Too Big (07:05)

  • Avoid beginning projects with massive, multi-feature plans.
  • Recognize early signs of burnout and scale back accordingly.

Warnings:
Overly ambitious projects often lead to paralysis and abandonment.


Start Small (07:39)

  • Begin with a single, solid feature before expanding.
  • Embrace the MVP approach: build a small but functional product first.
  • Document your code and project thoroughly.
  • Use existing libraries and solutions rather than building everything from scratch.
  • Track your own progress and improvements over time.

Warnings:
Feature creep and lack of documentation are major sources of project failure and future confusion.
Comparing yourself to others leads to discouragement.


Shiny Object Syndrome (11:04)

  • Commit to one project or technology and see it through to completion.
  • Beware of constantly chasing new trends or tools at the expense of finishing work.

Warnings:
Shiny object syndrome leads to a trail of unfinished projects and shallow knowledge.


Resources, Tools, and Next Steps:
- Newsletter: Sloth Bites (Chapter 3)
- Tool: Notion Mail (Chapter 6)
- Skill: Git/version control for safe experimentation (Chapter 3)
- Methodology: MVP approach for projects (Chapter 8)


This summary provides a clear, chapter-oriented roadmap of the video’s advice, with cross-references and chapter-specific strategies for easy review and implementation.


📝 Transcript Chapters (9 chapters):

📝 Transcript (375 entries):

## Skipping the Fundamentals [00:00] [00:00] 10 programming mistakes that'll ruin [00:02] your life. Okay, I'm being a little dramatic. Number one, skipping the fundamentals. Wait, is this for real? [00:09] People do this. Please don't skip the fundamentals. Look, I get it. You want to learn how to code, be a cool kid, automate your life, get rich or be homeless, replace humans with AI, make goofy looking games, whatever. But if [00:20] you don't understand the fundamentals [00:21] like variables, loops, and functions, [00:23] and a lot of other stuff that I uh can't [00:25] seem to remember, uh you're trying to [00:27] run before you can even crawl. Damn. How do I know? Because I did that. Yeah. [00:31] Wait, is this for real? People do this. Hi. If you're new to the channel, I'm a terrible programmer. Now, here's what [00:37] actually happens when you skip the [00:38] fundamentals. You end up copy and pasting code from AI without understanding what it does. And then when something breaks, and it will break, you're completely lost. And not only does it mess up your learning, it could also affect your career. You're [00:50] going to become that developer who gets [00:52] exposed in a technical interview when [00:54] they ask you to explain a simple [00:55] concept. Now, I'm not going to lie to you. The fundamentals are pretty boring to learn. You don't get to build the cool fancy stuff. You got to stick to [01:01] the boring stuff. But it is very, very important. Once you survive the boring stuff, you'll be able to create the cool things way faster and it'll be way more enjoyable because you actually know what you're doing sometimes. So, please learn these concepts. And if you don't, then [01:14] just put my fries in the back. Number ## Writing Clever Code [01:16] [01:16] two, writing clever code over readable [01:18] code. This one's mainly inspired by those leak code gods who drop oneline Python solutions in the forums because what are these? And you know what? I respect it. These people are definitely [01:29] geniuses, but I'm not. These answers look like they're speaking Minecraft Enchantment Table to me, and I love the people that post these, but bro, please. Your solutions have given me more brain damage than the actual lead code problem. I mean, yeah, these oneliners are cool and all, but please never ever write code like that in an interview or in an actual codebase. Your interviewer [01:48] is not going to stand up, slow clap, and [01:51] make you the CEO. They're just going to stare at your code like you just committed a war crime. If it takes an entire YAP session to explain your code, it might be too clever. Unless the code has crazy performance benefits and it can't be rewritten in a readable way, there is zero reason to make your code look like a cross word puzzle. Oh, and [02:08] by the way, if you're interested in [02:09] programming and you want to learn more [02:10] tips and tricks, you should check out my ## Sloth Bites [02:12] [02:12] newsletter, Sloth Bites. Oh, you don't know what Sloth Bites is? Sloth Bites is my weekly newsletter where I share byite-size programming information every week to make you a better programmer. And the best part about it, it's free. [02:22] All you have to do is give me your [02:23] email. I won't do anything with it. I promise. Number three, being afraid to break things. You know, when I started [02:31] out, I treated my code base like a bomb. I was scared that one wrong move and this project was But I learned something. The best way to learn is by breaking things, change a value, break a feature, refactor if possible, see what happens. You're not going to destroy the universe. Your project probably isn't [02:46] even public or has any users, so who's [02:48] going to notice? Now, I know this sounds counterintuitive, but the moment I stopped trying to write quote unquote perfect code and just started experimenting, that's when things started to click and I was making real progress. If you learn how to mess around without fear, you're going to learn 10 times faster than someone who just reads tutorials and tiptoes around their own project. Now, uh before you start breaking things, please learn version control with Git. Version [03:10] control is basically the programming [03:12] equivalent to a quick save. And once you learn Git or you have some sort of backup, start testing things out. Now, if you do mess up something, worst case scenario, you just hit control-z. Or if you know how to use get and branches correctly, just switch and delete that branch into the void. If anything, just [03:25] delete the whole folder and start fresh ## Overengineering [03:26] [03:27] because you probably only had hello [03:28] world written. Number four, overengineering. I swear every programmer has fallen into this trap hard. I know I did. You see this book [03:37] right here? Design data inensive applications. This starts every programmer's descent to overengineering. Okay, it's not just this book. There's a [03:44] lot of other reasons. I remember I was in a whole system design and scaling phase. So I was really into reading engineering blogs where I understood like 20% of the information and um one time I was reading Discord's engineering blog and I thought you know what what if I built a full Discord clone using this blog and try to copy their architecture all of it. Needless to say the project died before it even rendered a login screen. But once you have some [04:09] experience programming and you start [04:10] moving away from the beginner stuff, you [04:12] start learning these best practices and [04:13] all these fancy system design techniques [04:15] and technologies that enterprise [04:17] companies use. And now every time you want to build a personal project, you start to think about these concepts and think, I should build it like these enterprise companies because that's how real engineers do it. And now all of a sudden your project needs microservices for every tiny function, multiple specialized databases, message cues, elastic search, cafka, blah blah blah ## Dont Overengineer [04:35] [04:35] blah. But you start to forget some things. One, the reason these companies made these decisions is because they had to. Two, they evolved to this complexity over years, not days. Three, they have [04:45] entire teams dedicated to each [04:48] component. Four, they're serving millions of users. Your project is serving one yourself. Please don't overengineer your projects. Now, my [04:56] advice to you, if you're in this [04:58] overengineering phase or you're starting [04:59] to reach it, don't worry about this [05:01] stuff unless it's for system design [05:03] interviews or, you know, you need it. If you're actually trying to implement this in a side project, you're going to waste some time. I'm not going to lie. But if you're doing this purely just to learn, just for the love of the game, go ahead. ## Use Gmail [05:13] [05:13] Bonus mistake. Using Gmail. What? Okay. [05:17] Honestly, I just don't know how to sneak [05:18] this in. Sneak one in. Today's sponsor, Notion. Woo. Look, we all know email is [05:22] a nightmare. Your inbox is probably a mess right now with hundreds of unread messages you're pretending don't exist. Notion realized this problem and they created Notion Mail. Notion Mail is one of the first emails that organizes your inbox, draft responses, and schedule meetings exactly how you wanted, helping you get back to the real work. It's easy [05:38] to get started as well. All you have to do is connect your existing Gmail account, and you'll upgrade your email experience for free. Check out some of the cool features. Instead of having to manually categorize emails with stars and labels, Notion Mail automatically labels and sorts incoming emails based on what's important to you. I love this [05:53] feature. I use this for my newsletter when people reply to it. I don't have to manually label them and I don't have to scroll through hundreds of emails to find those responses. It's great. And [06:01] one of my favorite features, you can use [06:02] AI to help you write emails. You can use their suggestions or if you need to adjust your tone or check your grammar, you can ask AI to help you out. And of course, you can write your emails using the same clean Notion editor you already know. So, if you want to try out Notion mail and upgrade your email experience for free, click the link in the description. Number five, forgetting [06:19] that users are not developers. You know, a lot of programmers live in a weird bubble where they think everyone understands technology like them. Well, guess what? They don't. You can build a [06:29] website that you think is super [06:30] intuitive and then you watch someone [06:32] else use it and they somehow break it. This happens every single time. Regular people are going to give you a reality check. You might think hamburger menus are universal knowledge. It's not. Try [06:43] asking your grandma or grandpa. They're going to look for an actual hamburger menu. And here's an unfortunate truth. The more time you spend programming, the worse you become at predicting how normal people use your software because you've been brainwashed with technical knowledge. So remember, try to make [06:58] websites that make sense for regular [07:00] people because they touch grass, unlike [07:03] us. Number six, starting too big. ## Starting Too Big [07:05] [07:07] Imagine you have a big project idea. The productivity app to end all productivity apps. It's going to have real-time syncing, cananband boards, calendars, habit tracking, pomodoro timers, AI task suggestions, and you know what? Maybe it'll even order you breakfast. You open [07:22] up your code editor full of hopes and [07:24] dreams. You write a readme file explaining what the app will do if you ever finish. You're trying to set up your database schemas for 18 different features, and all of a sudden, you stall. You burn out. You question your [07:34] entire existence. You think you're a bad programmer. You stop programming. The project dies. You die. Now, here's some ## Start Small [07:39] [07:40] advice to a lot of you. Start small, feature by feature. Focus on one thing, one small thing. Like literally just making a button. For example, you want [07:50] to do a note-taking app. How about you start with, oh, I don't know, creating note. Make that one thing solid. Don't worry about any other features. If you [07:58] start worrying about a lot of other [07:59] features, you know what that's called? Feature creep. Nobody likes feature creep. Don't fall into that trap. The [08:04] features you want, those can come later, [08:06] or maybe not at all. If you're trying to build everything all at once, you're just going to end up with 5% of a mega project and 95% of a mental breakdown. This is why I personally like the MVP approach. Minimum viable product if you didn't know. This isn't just startup [08:20] jargon. Well, nah, you can decide that one. It's honestly the only way most of us will ever finish anything. But I do have to say this, MVP does not mean garbage app. It's just a smaller app [08:31] that works properly. Build the simplest version that does one thing well and then add features one by one. If I can't describe my project in one sentence, it's too big. Scale it down before you end up with another abandoned GitHub repo. Number seven, no comments or [08:46] documentation. The four lies every programmer tells themselves. Number one, I'll remember what this does. Number two, it's obvious what this code is doing. Number three, the code is the [08:56] documentation. Number four, I don't need to document this. Do not lie to yourself. Add documentation, please. [09:04] What does documentation look like? A readme file would be greatly appreciated. Comments that explain why, not what. Here's a test that'll help you out. If someone with reasonable [09:15] programming skills, but zero knowledge [09:16] of your project can understand what your [09:18] code does, you've documented pretty [09:20] well. If not, you must be a massochist because you clearly love pain. Number eight, reinventing the wheel. We've all been here. You need something for your [09:29] project, but instead of using one of the [09:30] 5,000 existing solutions, you decide to [09:33] build your own from scratch because it's [09:34] not that complicated. Stop right there because you're wrong. Trust me, someone already solved this problem better than you ever will. The only time you should do this is if you actually want to learn how something works or you have some weird edge case or requirement that these libraries can't handle right now. [09:51] But if you don't care about it, don't [09:52] make it from scratch. It's a complete waste of time. Unless you're one of those rare 0.1% engineers that have skills, then please make our lives easier. We need it. But for the rest of [10:03] you, your authentication system is not [10:05] better than a lot of these libraries. Trust me, many have tried. Number nine, comparing yourself to other programmers. You open up Twitter or X, I guess, and boom, I built a SAS in 4 hours, made 10K in a week, quit my job, and now I surf in Bali every morning. And then you [10:23] scroll down and see some 16-year-old [10:25] like, "While you're all applying to [10:26] colleges, I just launched my third AI [10:29] startup." Meanwhile, you're here trying to figure out why your calculator is adding numbers like this. And look, I've been there. I'm still there. It feels [10:36] like everyone else is sprinting while [10:37] you're still trying to learn how to tie [10:39] your shoes. But here's what you need to remember. You're watching everyone else's highlight reel while you're living through your own blooper reel. You did not see the 300 hours they spent debugging, the projects they abandoned, or the existential crisises they had at 2 a.m. wondering if they should have [10:53] gone to law school. So instead of trying to compare yourself to them, compare yourself to what you were like 3 months ago. Are you improving? Are you learning new things? Are you making fewer [11:01] mistakes? That's what truly matters. Number 10, having shiny object syndrome. ## Shiny Object Syndrome [11:04] [11:06] This is what shiny object syndrome looks [11:08] like. You start working on a project. You make decent progress. You see a cool article or video about a technology. You [11:13] abandon your project to learn the [11:15] technology. You start a new project with the new technology. You see another cool article or video about a different technology. You abandon that project to learn this new technology. And you're [11:24] going to repeat this until you realize [11:25] you have it or until you quit [11:27] programming. Here's some signs you have shiny object syndrome. You have more projects than lines of code written. You can write Hello World in 12 different languages, but you can't build an app in any of them. 40 different ultimate [11:37] guides to random technology articles [11:39] that you'll read later. You'll never read them. Pick one thing and commit to it. If you make any of these mistakes, you're a terrible programmer. And I know [11:47] this because I've made all these [11:49] mistakes and I'm a terrible programmer. See you in the next video. [Music]