Alex Ragalie’s Post

Key points discussed in Alex's post: 1. Difficulty and struggle are good for You Difficulty and struggle, in all their varied shapes and forms, are the two things that you MUST experience and overcome - EVERY SINGLE DAY - in order to achieve mastery at your chosen craft. 2. Using AI code generators can hurt your skills in the long term. Using AI code generators feels like a super power in the short term but builds a set of detrimental habits which will be very difficult to unlearn later. The price you pay, and the risks you take for your future development, are unjustifiable and not worth it. 3. Do not fear AI. Every technological leap in the history of humanity has generated more opportunities for people who were good at their craft than it took away. So do the proven thing: hone your craft! Become an expert in what you do, and work more at developing mindfulness, kindness and empathy. Thanks Alex! Interesting read!

AI: My Coding Coach (But Don't Let It Be the Boss!) Man, turns out, AI isn't great at writing love letters, but it excels at crafting existential crises. Read My Short Story! Towards the end of 2022, do you remember when everyone was buzzing about AI tools like ChatGPT? I jumped on the hype train, feeling like I'd unlocked a coding cheat code! Asking random questions got me instant answers, faster than a rocket blasting off! ❓ Then, guess what? I started relying on AI for EVERYTHING, even tiny coding hiccups I knew I could handle. It was like having a programming pal by my side, saving me from getting lost in the jungle of coding websites. ❌ But here's the catch: AI, even though it's super cool, can sometimes trip up. I slowly realized I was asking AI for EVERYTHING, even things I could figure out myself. It felt like my brain was taking a nap instead of doing the thinking. ️️ Just on Monday, last week, I was stuck in a tricky puzzle with a few Python-based libraries. Days flew by; me and AI going in circles. Finally, I put on my detective hat ️♀️ and did some research myself. The minute I understood the code language, boom! The bug vanished like a disappearing act ✨! That's when I knew things had to change. No more "Ask AI!" without thinking first. ✋❌ From now on, my AI coach has some new rules to follow: - Think it through first: Before I ask, I'll make sure I know what's going on and why it's tricky. - Clear instructions only: No more mumbling questions. I'll be super specific, like giving AI a treasure map ️ to find the answer. - I'm the boss, not AI: Even with AI's help, I'll know what a good answer looks like, so I won't get fooled by any fake-y solutions. ♀️ But don't get me wrong, AI isn't the bad guy! It's like a super cool gadget you can use to learn and explore. Just remember, you're the hero of your coding adventure. ♀️ Keep your brain in charge, and use AI as your helpful coach, not your puppeteer. So, fellow coding explorers, have you tried using AI in your adventures? Please share your stories in the comments below, and let's build a community of smart coders who use AI the right way! ⌨️ #ai  #softwareengineering  #community #python  #codechallenge

Will AI Replace Coders in the Next 5 Years? Exploring AI’s Rapid Impact on Coding Jobs In the past two years, AI has become a game-changer in every industry, and ready to automate every repetitive tasks. ChatGPT-4 and Google Gemini Ultra, among the leading AI chatbots, are gradually replacing human jobs every day. According to news ChatGPT predicts AI to replace 5 million jobs. It’s an AI model used by companies for specific roles and can handle more tasks. In a interview with author Peter H. Diamandis, Emad Mostaque, CEO of Stability AI, suggested that there may be no programmers within the next five years. Should we acknowledge this inevitability and inform society that coding is no longer necessary? There’s solid evidence that AI has outpaced human coders. Let’s explore three key points: 1. In 2023, ChatGPT successfully passed Google’s software developer high-level exam. 2. GitHub found that 46% of code in all programming languages is made with Copilot. 3. DeepMind’s AlphaCode outperformed 45% of 5,000+ expert programmers in its debut. All these advancements occurred within the first year of ChatGPT’s release. What technological advancements can we expect in the next 5 years? Reasons AI could replace coders: — 1. Automation of repetitive tasks: AI can already automate many routine coding tasks, such as generating basic code from natural language descriptions or writing boilerplate code. This can free up programmers’ time for more complex and creative work. 2. Increased efficiency and productivity: AI-powered tools can help programmers write code faster and more efficiently. For example, GitHub’s Copilot suggests code completions and functions, while DeepMind’s AlphaCode has even surpassed human programmers in some coding competitions. 3. Evolving capabilities: AI is constantly learning and evolving, and its capabilities in code generation and understanding are likely to improve significantly in the coming years. Reasons AI may not replace coders: — 1. Creativity and problem-solving: Coding often requires creativity, critical thinking, and the ability to solve complex problems. These are skills that AI is still struggling to grasp, and it’s unlikely that AI will be able to fully replicate them anytime soon. 2. Understanding complex requirements: Translating complex requirements and specifications into code is a crucial part of the coding process. While AI can assist with this, it often lacks the nuanced understanding of human needs and contexts that’s necessary for truly successful software development. 3. Human oversight and maintenance: Even if AI could generate code independently, it would still require human oversight to ensure its quality, security, and ethical implications. Additionally, maintaining and updating AI-generated code would likely require human intervention. #AI #Coding #FutureOfWork #TechEvolution #HumanAugmentation #Arowiz

Yes, AI is revolutionizing coding, just don't get trapped in the cookie-cutter solutions. In software engineering, we're moving from the old "step-by-step" coding to a wild new world where you can tell AI, "Help me build a website with these features," and boom - you've got a starting point in seconds. In my case, last week I saw this Google Notebook demo and I decided built my own podcast generator to analyze docs, pull out key points, create dialogues between two agents with different personalities, and then turn it into a podcast as in the demo. (You can see a short clip of the result below.) It was great to have an AI pair-programmer running at lightning speed helping me to integrate NLP, LLMs, and TTS. But here's the kicker: while AI can crank out code at lightning speed, it still needs guidance to point it in the right direction. It's like having a super-powered coding assistant that can work miracles - if it gets your guidance. Without clear direction, you might end up with the coding equivalent of a cookie-cutter house. Imagine telling AI "Make me a house" without any construction know-how. You'll probably get something that looks like every other house on the block. Or picture asking for a hospital... if you don't know what a hospital needs, how do you even know what to ask for? You might miss crucial details - like some rooms needing copper lining for special equipment. This is where it gets interesting. When everyone uses AI to build similar things, we might end up in a loop where everything looks and feels the same. That's when custom development and unique vision become even more valuable. Modern software is a wild mix of code, data, and models. The complexity is off the charts, and it needs a whole new approach. AI's getting smarter about context and goals, but it still needs us to provide that big-picture thinking. So, how do we ride this AI wave instead of getting swept away? Here are my thoughts: 1) Master the art of guiding AI. Learn to code with AI as your co-pilot, but know when to take the wheel. 2) Think big picture. Understanding how to scale from "works on my machine" to "million-user app" is still gold. 3) Branch out. As software eats the world, being able to speak 'healthcare' or 'finance' alongside 'code' is a superpower. The future of software dev looks wild. It's not about AI vs. humans - it's about AI-amplified humans creating stuff we can't even imagine yet. We're not just watching this AI revolution unfold - we're part of it, shaping it. So let's embrace these AI tools, guide them with our expertise, and push the boundaries of what's possible. It's an exciting time to adopt tech, folks. You don't have to switch careers and become a developer; instead, you can add a killer skill to your profile. Imagine being a pizza maker who manages their store through AI, or a teacher creating personalized lesson plans with AI assistance. The possibilities are endless. Lets make the most of it!

Unlocking the Code: The Bright Side & Dark Side of AI Coding Assistants in Future Development Through function creation, task automation, and code suggestions, AI coding helpers such as GitHub Copilot and Codex by OpenAI are revolutionizing software development and increasing productivity. This opens up a crucial discussion about whether the growing dependence on these tools trades quality for speed, looking at how they affect development workflows, provide opportunities for newcomers to learn, and have wider industry ramifications. PROS of AI Coding Assistants: 1. Accelerated development With the help of GitHub Copilot's real-time code suggestions, which eliminated tedious coding jobs, a small business was able to expedite product development. 2. Automating Repeated Operations AI coding helpers change the productivity of developers by automating monotonous chores like creating boilerplate code. Developers spend 40% less time on these tasks, according to a DeveloperTech Magazine survey, highlighting the significant productivity advantages provided by AI support. 3. Improved Knowledge and Efficiency AI coding assistants help developers, especially novices, by automating processes and providing instantaneous learning resources. According to a Global Developer Community poll, 75% of users believe AI coding assistants help them better understand new programming concepts, demonstrating how beneficial they are for improving learning and productivity. 4. Accessibility for Non-Experts A 50% increase in projects by non-experts, as reported by The Hobbyist Programmer Journal, demonstrates how their accessibility encourages innovation and creativity and has a substantial impact on making coding more accessible. CONS of AI Coding Assistants: 1. Quality and Reliability Concerns Research from the Institute of Software Reliability found that AI coding assistants have an error rate of 5%, a non-negligible figure that underscores the need for thorough review and testing of AI-generated code. 2. Dependency and Overreliance An analysis by TechForward Journal suggests that teams heavily dependent on AI for code generation may struggle with complex problem-solving and innovation, pointing to the importance of a balanced approach to using AI tools. 3. Intellectual Property and Originality Issues According to the Software Law Review, the industry may need to establish new guidelines or legal frameworks to address the unique challenges posed by AI coding assistants and ensure that intellectual property rights are respected. 4. Loss of Deep Learning Opportunities While AI coding assistants can enhance learning in some contexts, there's a concern that they might also lead to missed opportunities for deeper understanding. For instance, a developer might rely too heavily on AI-generated solutions without fully grasping the underlying algorithms or logic. Have you used an AI coding assistant in your projects? #ai #aiassistant #copilot #chatgpt

Unlock the Power of Local AI: Your Offline Coding Assistant with LLMs in VS Code In the ever-evolving world of technology, having the right tools at your fingertips can feel like wielding a magic wand. Imagine having a personal coding assistant—an AI that understands your needs and helps you code seamlessly, all without relying on the internet. 🌐✨ I’ll show you how to set up a local large language model (LLM) as your code assistant in VS Code. It’s easier than you think, and the rewards are immense. Let’s dive in! 💻🔍 Step 1: Install Ollama Start by downloading Ollama. Think of it as your spellbook—this tool will unlock the magic of local AI. Get it here: https://lnkd.in/dZQ5a_bp Step 2: Explore Models Next, browse through the available models and choose one that suits your needs. It’s like picking the right potion for your spell—choose wisely! Check out the library here: https://ollama.com/library Step 3: Select Your Model I’ve chosen the Llama 3.2 (3 billion model) for its balance of performance and efficiency. It’s like selecting a trusty steed for your coding journey—powerful yet not too demanding. Explore it here: https://lnkd.in/dEjj8NcS Step 4: Run the Model Open your command prompt and run 'ollama run llama3.2' This is where the magic happens! Sit back and let the installation complete—your assistant is being summoned! Step 5: Install VS Code Extension Now, enhance your coding environment. Install the Local AI Pilot extension in VS Code, like equipping yourself with a new toolbelt. Grab it here: https://lnkd.in/dHxcQzjF Step 6: Launch Local AI Pilot Open the ‘Local AI Pilot’ from your extensions. It’s akin to opening the door to your secret workshop, where all the creative magic occurs. Step 7: Select Chat Model Choose the 'Chat Model'—this is your AI’s persona. It’s like choosing the right character in a role-playing game, ready to assist you in your coding quests. Step 8: Open the Chat Window Click on ‘Open Chat Window’. This is your direct line to your AI assistant—no need for smoke signals here! Step 9: Type Your Query Now for the fun part! Type in your coding query and watch as your AI generates code like a master sorcerer conjuring spells. 🚀✨ Why Go Local? By running LLMs offline, you ensure faster responses and maintain privacy. It’s like having a personal assistant who knows all your secrets but never leaves your side. With this setup, you’re not just coding; you’re stepping into a new era of productivity and creativity. Let AI elevate your coding game, and watch your ideas come to life! Are you ready to unleash the power of local AI? Let’s get coding! 💪👩💻 #LLM #AIAssistant #VSCode #llama3.2 #Ollama

Coding has become essential for many professionals, but learning it efficiently can be a daunting task. That's where AI coding tools come into play. If you're not already exploring these options, now might be the time to integrate them into your workflow. Start by identifying the specific coding tasks you find repetitive or challenging. Look for tools that can automate those processes or provide smart suggestions. For instance, using an AI assistant while coding can help speed up your script writing and reduce bugs. Embracing these tools not only boosts productivity but also enhances the quality of your code. Imagine writing a smooth, bug-free application while spending less time on troubleshooting. Have you tried any AI coding tools? Share your experiences and recommendations—let’s learn from each other! https://lnkd.in/dydCJpai

🚀 The AI Coding Revolution: Why You Shouldn't Ditch Your Developer Hat Just Yet! 🚀 Hey LinkedIn fam! 🌐 Lately, I've been hearing a lot of chatter from YouTubers, educators, and even some industry experts suggesting that we should all throw in the towel on coding. Why? Because AI is here, and it's supposedly going to take over everything. 🤖 But hold up! Let's break this down with some real talk. For the past few months, I've been diving deep into the world of AI coding tools. I've tested the top-of-the-line software, used autonomous agents that can generate end-to-end software without me touching a single line of code. And you know what? They're pretty damn good. In fact, some of my production-level code is now being written by AI. 💻 But here's the kicker: AI isn't a magic bullet. Sure, it can help you write code faster, but it can't replace the human brain—especially when it comes to logic, problem-solving, and understanding the bigger picture. Let me explain: Logic is Still King: AI can generate code, but it can't come up with the logic behind it. If you're a data scientist, software engineer, or even a front-end developer, you need to understand the logic of what you're building. AI can assist, but it can't replace your brain. 🧠 Context is Everything: AI tools have context windows—think of them as the AI's short-term memory. The largest one we have right now is around 1 million parameters, but that's still not enough to understand an entire codebase. You need to know how your changes will impact the existing code. AI can help, but it can't replace your understanding. 📚 Quality Control: For projects with millions of users, you can't just let AI run wild. You need to inspect every element of the code before it goes live. AI can assist, but it can't replace your eye for detail. 👀 Multi-Faceted Thinking: AI is great at brainstorming ideas, but it can't replace the multi-faceted thinking that a human brings to the table. When a project manager or product manager considers marketing, market research, and the impact on consumers, AI can assist, but it can't replace the human touch. 🤝 AI Engineers Are Still in Demand: Even with AI, there's still a huge demand for AI engineers, ML engineers, and other coding professionals. AI can assist, but it can't replace the need for human oversight. 🛠️ So, what's the takeaway? AI is a tool, not a replacement. Don't let the fearmongers convince you that AI is going to take over your job. Instead, use AI to save time, boost productivity, and focus on what you do best—solving problems, creating logic, and delivering solutions. Bottom line: Keep coding, keep learning, and keep pushing the boundaries. AI is here to help, not to replace you. 🚀 #AICoding #SoftwareEngineering #DataScience #TechTrends #FutureOfWork #AI #Coding #TechInnovation #LinkedInInfluencer P.S. If you found this post insightful, hit that ❤️ and share it with your network. Let's keep the conversation going! 💬

ℹ️ Exciting developments in AI-powered coding tools are changing the landscape for developers! A recent article on IEEE.org explores how these tools are evolving from copilots to potentially autonomous coders, with platforms like Devin AI leading the charge. These tools promise to accelerate coding tasks, improve productivity, and even generate code autonomously. However, it's essential to note that while these advancements are promising, they still require human oversight to ensure quality, security, and reliability. 🚀 Key takeaways from the article: 1️⃣ Autonomous Coding Tools: Platforms like Devin AI are pushing the boundaries of AI-powered coding, offering capabilities such as building websites, bug fixing, and training language models independently. 2️⃣ Open-Source Alternatives: OpenDevin and Devika are emerging as open-source alternatives to Devin AI, while established assistants like GitHub Copilot are also advancing with tools like AutoDev. 3️⃣ Benefits and Challenges: AI coding assistants can speed up development and offer templates for code, but developers must ensure rigorous quality standards and address safety concerns. 4️⃣ Human Collaboration: Collaboration remains crucial in software development, as coding assistants still have limitations and require human intuition and creativity. 5️⃣ Continuous Improvement: Developers are encouraged to explore these tools, provide feedback, and track their progress as they evolve rapidly. As professionals in the tech industry, it's vital to stay updated on these advancements and adapt to new tools and methodologies. IEEE's Education Week, happening from April 14 to 20, provides an excellent opportunity to enhance your skills and explore educational resources tailored to your needs. Have you tried AI-powered coding assistants in your projects? What are your thoughts on their potential impact on the industry? Share your experiences and insights in the comments! Let's keep the conversation going and embrace the future of coding together. #AI #Coding #TechInnovation #IEEEEducationWeek 🖥️🤖✨ https://lnkd.in/eqgnGSCN

🚀 Embracing AI Tools: The Cast of New Interns for Your Startup! Are you a startup owner stretched thin across coding tasks? It's time to leverage AI, not as a replacement, but as an intern that augments your software development. Here’s why 🧠: AI as a Developer's Aid: - AI tools are being increasingly seen as assistants that propel forward even average developers by automating routine coding tasks, enabling them to focus on complex problems that require creative solutions. Navigating the AI Landscape: - Not all coding suggestions by AI are perfect. It is crucial to have the experience or access to seasoned developers to discern the useful suggestions from the not-so-useful ones. - View AI tools as junior developers who can take on straightforward tasks efficiently under supervision. Maximizing Potential: - Experiment and test different AI tools to understand their strengths and weaknesses. Use them as aids in coding sessions or to speed up troubleshooting. Real-World Scenarios: - For tasks like boilerplate code or debugging, AI could increase your output significantly without compromising on code quality, given the right oversight. Article Insight: It is critical to approach AI tools with the right set of expectations — capable of supporting, not leading, the coding journey. You retain creative control, making strategic decisions and directing AI tools to handle the coding basics. For more insights, read the full article by Matt Asay on InfoWorld: Hashtags: #StartupGrowth #SoftwareDevelopment #ArtificialIntelligence 🚀 Let’s harness the power of AI responsibly to enhance our software development capabilities! What are your thoughts or experiences with AI in coding? Drop your comments below. 👇