What’s stopping you from coding like this? 🤔

Think of AI as a powerful tool, like a supercharged compiler. But you still need to know what to compile. CS fundamentals are your blueprint, guiding AI to build elegant, efficient, and scalable solutions. The future is collaborative, not replacement.

Introducing Grok Imagine.

AI empowers specialization, it doesn't replace it. Want to build cutting-edge AI for medical imaging? You'll need a CS background with a focus on computer vision and medical data processing. Each field demands specific CS expertise, even with AI assistance.

Scalability is key. AI can design basic systems for you but without a grasp of system design, you'll struggle to build applications that can handle real-world loads. AI can implement, but you need to architect.

But without understanding Data Structures and Algorithms (DSA), you'll end up with bloated, inefficient code that's a nightmare to maintain. AI can write, but you have to ensure it writes well.

AI is your coding co-pilot, not your replacement. Prepare to code at warp speed! But here's the catch: without a solid CS foundation, you'll be flying blind.

“AI's here, and it's eating CS degrees for breakfast.”. Is your 4-year investment about to become an expensive paperweight?. Here’s my take:.

Architect at Scale: Design robust, scalable systems for large applications. High-level architecture is key to impact. Focus on understanding and designing for distributed systems, microservices, and cloud-native environments.

Business & Design Bridge: Speak stakeholder & designer languages. Align tech with user needs & business goals. Successfully translate technical details into clear, concise language for non-technical audiences.

AI as a Power Tool: Leverage AI for efficiency, but master prompt engineering to steer its output. Smart AI use is the edge. Develop proficiency in crafting detailed prompts to generate specific, desired outputs from AI models.

Decode Ambiguity: Interviews & real work throw curveballs. Master clarifying requirements & quick, precise coding. Practice extracting essential information from vague prompts and translating them into actionable code.

2025 Tech: Agility > Algorithms. Adapt to shifting specs & code efficiently. Demonstrate rapid iteration and quick problem-solving in dynamic environments.

The secret to a high paying tech job in 2025 NOT leetcode anymore. Build these skills as well:.

Here’s mine.

Are you on LinkedIn? Drop your profile below and let’s connect 👇.

Drop the best work setups you’ve worked at 👇. Here’s mine from a year ago

5. Official documentation >>> random tutorials. You always get clear and concise information from official docs of a language or framework. Prefer using them and learn to read them well.

4. There no "Perfect Programming Language" to learn. No, JavaScript is not a 'magical' language that will make you a perfect programmer capable of building everything. Learning Java, C#, Go, PHP or any other language will make you an equally capable and payable developer.

3. Learning your first language can take 100 days, but learning the next one will probably take 10. Most constructs in programming languages are the same. Once you understand them for one, it's easy to understand them for others.

2. You don't always have to write perfect code. When prototyping an idea or trying things out as a beginner, it's okay to mess up, not follow best practices but still make beautiful stuff.