Raahul Seshadri’s Post

Every week we talk to founders excited about building their product with "just AI." They come back 3 months later with a mess of non-functioning code and technical debt they don't understand. Here's the truth: AI coding tools are amazing productivity enhancers for experienced developers. But they're terrible substitutes for actual software engineers. Why? Because software development isn't just about writing code. It's about understanding business requirements, architecting scalable solutions, and building maintainable systems. At Full Scale, we're seeing a wave of companies who tried to cut corners with AI development. Now they're paying double to fix the technical debt they created. Don't let this be you. #SoftwareDevelopment #AIinTech #TechLeadership #ProductDevelopment

Globally, there are only 26 million software developers, which is less than 3% of the global white collar workforce. Generally speaking, a tiny fraction of professionals create all the technology we depend on today. 💡 How does that number scale to a 100 million? I think Artificial Intelligence really may be the answer. Code generation tools could be a more disruptive opportunity than the creative applications of AI, and this is not being actively discussed in the media either. Software is also more logic-based than marketing or communications, which makes it easier to from an ROI standpoint. Also, it's not just about writing code - there's plenty of opportunity across the stack, to simplify integrations, infra management, dev ops etc. So many new ventures are killing it here. AI will, without a doubt: 1️⃣ Massively increase the number of people building/testing technical products, simply expanding the tech-capability pool. 2️⃣ Drive the quality of new grad software engineers up significantly, since everyone now has an AI tutor to guide them. 3️⃣ Bring professionals and experts with domain knowledge into the software building arena more easily. E.g. an investing professional who could build a quick data cleaning or due diligence system. The ecosystem of Code-Gen tools is also growing so fast, and it's beyond GitHub’s CoPilot or OpenAI’s Codex. Just may be one of the fastest growing sub-areas of Generative AI currently. #ai #software

Every week we talk to founders excited about building their product with "just AI." They come back 3 months later with a mess of non-functioning code and technical debt they don't understand. Here's the truth: AI coding tools are amazing productivity enhancers for experienced developers. But they're terrible substitutes for actual software engineers. Why? Because software development isn't just about writing code. It's about understanding business requirements, architecting scalable solutions, and building maintainable systems. At Full Scale, we're seeing a wave of companies who tried to cut corners with AI development. Now they're paying double to fix the technical debt they created. Don't let this be you. #SoftwareDevelopment #AIinTech #TechLeadership #ProductDevelopment

AI's Role in Transforming the Future of Programming 🚀 🔥 "AI will replace programmers" — that's what everyone said. They were wrong. Here’s the shocking truth about what’s actually happening to software engineers: 💰 The Money Junior devs using AI are outperforming seniors. AI-skilled engineers are earning $50k+ salary premiums. Companies with AI-first teams are shipping 3x faster. ⚡ The Time Shift Engineers now spend only 30% of their time coding (vs. 70% in 2019). The rest? Systems architecture Business strategy Innovation design 📊 The Numbers Don’t Lie GitHub Copilot users are: Completing PRs 55.8% faster Spending 40% less time debugging 96% are sticking with AI after trying it. 🚀 New Roles Emerging Top-paying AI+Engineering roles: AI Ops Engineer: $275k ML Infrastructure Lead: $320k AI Architecture Designer: $295k 🔄 The REAL Transformation Netflix: 60% less boilerplate, 3x faster features, more innovation Microsoft: 88% higher productivity, better code, faster onboarding The truth? Smart engineers aren’t being replaced. They’re thriving as tech conductors—earning more and driving innovation. 🎯 What’s Next? The most in-demand skills come with salary premiums: LLM Integration ($40k+) AI System Design ($55k+) Prompt Engineering ($35k+) 💡 Here’s the million-dollar question: Are you adapting or falling behind? While others are debating IF AI will change programming, the top 1% are already using it to: ✅ Ship 5x faster ✅ Build better products ✅ Earn multiple times more The future of programming is here. Will you seize it or get left behind? #AIProgramming #FutureOfWork #ArtificialIntelligence #TechInnovation #SoftwareEngineering #AIFuture #CareerGrowth #TechCareers #Programming #Automation #DigitalTransformation #MachineLearning

Will AI make software engineering obsolete? Sequoia Capital recently published a great article weighing in on the debate. Sequoia doesn’t think so - and neither do I. Here’s why, 1️⃣ The future is not about eliminating work but rather making human intelligence more impactful with AI + software so we can do much more. Enabling more people to build software broadens the software’s scope and impact, thus promoting more adoption across many more use cases, creating a ripple effect of innovation. 2️⃣ While AI can generate code, it’s crucial to remember that deploying it directly into production environments without thorough review is impractical. This is where human engineers come in, verifying, altering, and approving changes to ensure the integrity of the software. The role in software development will remain crucial and irreplaceable for the foreseeable future. 3️⃣ Making software development more accessible with AI will have an enormous economic impact across every industry at the same scale as AGI. Imagine a world where 20% of the global population can build software and automation. This can transform businesses overnight without waiting for a technological leap of faith in AGI. Software development in the future will involve using more abstractions and building blocks, allowing builders to focus on higher business goals rather than technical complexity. A billion software engineers in the future will fundamentally transform the world, and that movement is well underway 🚀

Will AI Transform Software Engineering Will AI replace software engineers? 🤔 Our new post explores how AI is transforming software development, from code generation to project management. Discover the future of coding and how developers can adapt to thrive in this evolving landscape. #AI #SoftwareEngineering #ArtificialIntelligence #Coding #FutureofWork #Tech #Developer #MachineLearning Learn More:- https://lnkd.in/ds2C5-g2

Will AI Take Over Software Development? Let's Discuss! Hey fellow developers! 👋 I've been pondering something lately that I think many of us can relate to: the role of AI in our beloved field of software development. With advancements in AI technology accelerating at an unprecedented pace, it's natural to wonder how this will impact our jobs and the future of our industry. So, I want to open up the floor for discussion: Do you think AI will eventually take over software development tasks traditionally performed by humans? Or do you believe that human creativity, intuition, and problem-solving skills will always be irreplaceable? I'd love to hear your thoughts and insights! Drop a comment below and let's get the conversation going. Whether you're optimistic about the future or have concerns about AI's potential impact, your perspective is valuable. Let's dive into this fascinating topic together! #AIinSoftwareDevelopment #FutureOfWork #DeveloperCommunity

AI is taking over the world (or at least our code). As AI reshapes our industry, how can software engineers stay relevant and thrive? Whether you're a seasoned pro or just starting out, my latest guide offers strategies to help navigate the exciting yet challenging world of software engineering in the AI era. Read the full article here: https://lnkd.in/gpjmnmWs #SoftwareEngineering #ArtificialIntelligence #CareerGrowth #TechIndustry #GrowthMindset What are your thoughts on staying competitive in this rapidly evolving field?

AI in the coding trenches: friend or foe for software development? Here's a hot take for your Tuesday morning coffee: AI assistants are poised to revolutionize software development. They'll automate repetitive tasks, generate code snippets, and even help identify bugs. This frees us data engineers up to focus on the bigger picture: modeling complexity, defining business logic, and ensuring our software solves real problems. But hold on to your hard hats! While AI becomes a powerful co-pilot, it won't replace the human element. The ability to think critically, solve unique challenges, and understand the nuances of business needs—that's where experienced developers shine. The future of software development is a collaborative one, and building an in-house team with the expertise to navigate this evolving landscape is crucial. I'd love to hear your thoughts on how AI is transforming software development! Drop a comment below and let's spark a meaningful conversation. 💡 #AI #SoftwareDevelopment #FutureOfWork #DataEngineering

Think AI is going to make you a software engineer overnight? Not so fast. It's tempting to believe that with AI, building a software app is as easy as clicking a few buttons. But let's get real: → If you can build it in an hour, so can someone else. Your competitive advantage? Gone in a flash. → High-value software isn't just about a pretty frontend and a database. It’s about solving a specific problem with well-thought-out business requirements, a solid database design, and clear programming logic. → Relying on AI to build complex systems? Be prepared for chaos when something breaks. No knowledge of the system = million-dollar headaches. You can’t just call yourself an engineer because you know how to use a tool. True engineering involves understanding the problem, designing a solution, and knowing how to fix it when it all goes wrong. 📌 Want to truly master software development? Start with the basics. AI can be a tool, but it’s not the whole toolbox. What are your thoughts and experiences with AI for building software? #software #ai #development #tech P.S. Let me know what you think of this video format, I am open to any suggestions, feedback or criticism! P.P.S. One of the videos I saw was from Greg Isenberg who built an app in 67 minutes, find the link in the comments, really worth a watch!