Overcoming Doubly Linked List Confusion with a New Mental Model

What if you could build the internet from scratch? Not just use it or rely on frameworks, but actually create the communication layer yourself. That’s the challenge I took on while completing Socket Programming in C, and it turned out to be one of the most intense and rewarding learning experiences so far. Working with raw C and sockets strips everything down to fundamentals. I built client-server connections from the ground up, handled ports and communication channels directly, and managed real-time data exchange without relying on abstractions. It’s the kind of experience that forces you to think deeply about how systems actually communicate. What makes this powerful is the shift in perspective. Frameworks stop feeling like magic and start making sense. You begin to see the structure behind the abstraction, and that changes how you approach problem-solving as a developer. Instead of guessing what’s happening under the hood, you understand it. This is the level where real engineering begins. The difference between using technology and building it becomes very clear. And once you reach this point, there’s no going back—you start aiming for deeper, more meaningful mastery. #SocketProgramming #CLanguage #SystemsProgramming #NetworkProgramming #SoftwareEngineering #LowLevelProgramming #ComputerScience #BackendDevelopment #TechSkills #DeveloperJourney #BuildInPublic #ContinuousLearning #Brittonnetic

The most underrated skill in programming isn't algorithms. It isn't system design. It's the ability to ship something imperfect and not lose sleep over it. Agree or disagree? 👇

Ever noticed how most beginners think they need a “beast” machine before writing their first line of code? 🤔 Like… before even touching HTML, they’re already dreaming of setups that look like something out of a sci-fi movie. But let me ask you this: Did the code suddenly become smarter because the laptop was more expensive? I’ve seen students delay their journey for months, sometimes years, waiting for the “perfect system.” Meanwhile, others start with what they have… and quietly build real skills. Here’s the truth most people won’t tell you: 👉 You don’t need a powerful machine to start coding. 👉 You need consistency, curiosity, and something that works. That’s it. At De'Brains Tech, we focus on building robust systems and strong thinkers, not just people with flashy setups. Because at the end of the day, it’s not about the machine on your desk… …it’s about the mind behind it. 💡 So I’ll ask again: Are you waiting for the perfect setup, or are you ready to start with what you already have? #SoftwareEngineering #DeBrainsTech #Programming #DBT

Vibe coding is basically manifestation for programmers. You hold the vision of what you want, describe it clearly, then watch the system build toward that vision — sometimes perfectly, sometimes hilariously wrong. Traditional developers think this means we're getting lazy, but they're missing the real shift: we're moving from mechanical instruction-giving to collaborative intention-setting with intelligence. The hardest part isn't learning new syntax — it's learning to think in outcomes instead of steps, which feels uncomfortably close to how consciousness itself works. What if programming was always supposed to be this intuitive?

I sometimes wonder if abandoning the concept of persistent immutability would benefit functional programming.… Well, the truth is, the world around us consists of objects and processes, which, in principle, are also objects, and all these real objects have a state that changes over time. Of course, we can say that we are not modeling the world, but its perception, and replace real objects with purely mathematical objects. Well, like, no one likes this girl anyway, so what difference does it make to us - one girl or the other (substitute whatever you want for the girl - the meaning will remain the same). But in reality, everything is completely different. All the classical literature is devoted to this remarkable phenomenon - the phenomenon of state variability.… Aren't we giving up our nature too easily and joyfully? Not being able to properly model the world around us, we replace it with another one. And it would seem that it is easier to add the ‘isImmutable’ flag to each object. And set it as needed, not once and for all. In principle, abandoning something "pure" in favor of something more pragmatic is not so rare, even within the framework of functional programming - let's at least recall do-notation :)

Programming is not only about writing code. It is about understanding logic. Here is a quick programming logic challenge to test your problem solving skills. What do you think the correct output is? A. 4 B. 6 C. 10 D. Error Small exercises like this help sharpen logical thinking, which is one of the most essential skills in software development. Share your answer in the comments before revealing the solution. #SoftwareDevelopment #ProgrammingLogic #CodingChallenge #TechSkills #DeveloperMindset #MyBitInnovationLab

Software needs to think with the users' minds. I've seen the pain users feel when the program horridly clashes with their world, and the joy when it fits like a Savile Row silk suit. I call this ontological/sociolinguistic fit "matching the user's mindspace". We must require proper domain analysis, something software rarely achieves. I freaked out many a mortgage broker client referring to "default values". Repeatedly I heard "We don't want defaults!" Study Weinberg's _The Psychology of Computer Programming_. https://lnkd.in/gpZk6sic Programmers think differently. We must become telepathic empaths, then glory ensues. — Lew Bloch, Software That Fits

In under 3 years, AI coding has gone from "this autocomplete is pretty handy" to something that looks almost unrecognizable. It started with augmentation — Cursor Tab, autocomplete, ~15% productivity gains. Useful, but you were still doing the driving. Then agents arrived. Instead of finishing your sentences, AI started feeling like a junior engineer you could hand a task to. Productivity jumped to 35%+. Now we're in the era of longer-running, parallel agents — tasks that run for hours while you Engineers manage multiple agents at once. Engineers who've adapted are seeing 75%+ gains. The common thread? The model improvements matter, but so does learning how to work with them. Lee Robinson's courses have always been some of the best resources for this — clear, practical, no fluff. His new Cursor Learn teaches exactly how to work effectively with coding agents. Worth your time.

Highly recommend checking out this latest course! Covers pretty much everything you need to know to become proficient with AI coding tools, and Lee Robinson makes it super accessible and easy to follow

Many people say the hardest part of AI coding is getting started. However, knowing when to properly use AI at different stages of building is crucial to driving value. Lee Robinson covers everything you need to know to become proficient with AI coding tools. Easily the best 30 minutes you'll spend today! #cursor