Ismael Onilearan’s Post

Very very interesting find: most devs using LLM tools for 6+ months see productivity increases, but most eng leaders where their teams use these tools do not see team-level increases. Why? As context, this finding comes from this week's The Pragmatic Engineer deepdive where with Elin Nilsson we analyzed 216 responses from software engineers and engineering leaders on their usage of LLM tools for software engineering. My theories on why this disreptancy: 1. Productivity translates to better work-life balance. People could well be more productive, but the gains are consumed in other tasks. If GenAI helps save a few minutes off a longer task, there’s more time for a walk, a coffee, go home earlier, etc. 2. GenAI mostly aids simpler work. GenAI helps with coding tasks in large organizations, but coding is often the smallest of all work! Alignment, meetings, and talking with others often takes up more time. GenAI won’t change this. 3. Maybe it's just hard to measure? As an engineering leader: consider that GenAI can have a positive impact without the impact being measured! We have ample evidence via other studies (e.g. this peer reviewed one: https://lnkd.in/eCgXfyRw) that GenAI tools are genuinely helpful for software engineers. And while most engineering leaders have the perception that these tools don’t make a big difference at the team level: I’d urge all engineering leaders to look closer before declaring that there really is no difference! The full article where the image is from, with more findings: https://lnkd.in/eBkrxDJA

Definitely an interesting read on the impact of GenAI on perceived productivity and other benefits.

Interesting, #AI gains for lower levels of the enteprise pyramid (for now). Engineers and developers can adapt faster to the tools that #enteprise can.

Engineering leadership and engineers disagree on LLM's impact on productivity. Engineering productivity is still so poorly understood, we have often built silos so engineers can focus on coding instead of understanding the problems they are to solve with that code. My experience is, a solo engineer who talks to and understands their users will run rings around a typical scrum team. The time "saved" by keeping users from the engineers will be more than offset by the communication and coordination of the rework. Nevermind the effort to build and release the fixes.

Welcome to The Prompt-Driven Engineer! 🚀🤖 Greetings, fellow innovators and engineering enthusiasts! 👋 We are thrilled to introduce The Prompt-Driven Engineer, a community dedicated to transforming the engineering landscape through the power of advanced AI prompts. Our Mission 🌟 At The Prompt-Driven Engineer, we believe that simple words can lead to extraordinary outcomes. Our mission is to showcase how leveraging intelligent prompts can revolutionize every aspect of engineering—from writing efficient code and crafting compelling emails to generating comprehensive technical documents. What to Expect 📚💡 - In-Depth Articles 📝: Dive into detailed explorations of how AI prompts are reshaping engineering practices. - Case Studies 🔍: Learn from real-world examples of successful AI prompt applications in engineering projects. - Expert Interviews 🎤: Gain insights from industry leaders and AI experts at the forefront of innovation. - Practical Guides 🛠️: Access step-by-step tutorials on creating effective AI prompts for your engineering needs. - Latest News and Trends 🌐: Stay updated with the newest developments in AI and engineering. Join the Conversation 🤝 We invite you to become an active part of our community! Follow our page to stay informed, participate in engaging discussions, and share your own experiences with AI prompts. Your insights and contributions are invaluable in building a collaborative environment where we all grow together. Our Journey Begins with a Prompt ✨ In fact, this very post was crafted using the same advanced prompting techniques we'll be exploring together. If you're curious, ask us for the prompt in the comments below! 😉 Get Involved 🎯 - Follow us ✅ for regular updates and fresh content. - this post 🔄 with colleagues and friends who are passionate about AI and engineering. - Engage with us 💬 by commenting your thoughts and suggesting topics you'd like us to cover. Let's redefine engineering, one prompt at a time! 🌐💡

Good morning! Interested in prompt engineering but not really sure what it means or how to get started? Or maybe you're skeptical of the hype around it and want to get to the reality behind it. If so, check out my latest post on Substack, and subscribe for weekly posts! The Real Value of Prompt Engineering: How to Leverage LLMs https://lnkd.in/gg2z4h-r

How AI Boosted Our Engineering Productivity by 18% in Just 30 Days 🚀 That’s exactly what we discovered during a recent pilot program at Cognism, where we tested AI-powered coding assistants. The results were too exciting not to share! Why We Tried AI Our engineering team is always looking for ways to work smarter. We introduced this AI tool with three goals in mind: ✅ Automate repetitive tasks ✅ Accelerate development cycles ✅ Empower our team to focus on innovation We gamified adoption by rewarding our early adopters who showed the greatest productivity gains—and their feedback was key in shaping the rollout. The Numbers Don’t Lie Here’s what the pilot achieved: 📈 31% more issues resolved—less time on repetitive work, more time on creative problem-solving. 🔗 21% more pull requests (PRs) merged—quicker features, faster deliverability. ⏱️ 3% faster PR cycle time—a small win that we know can grow. Overall, an 18% productivity boost for our engineering team. What We Learned 1️⃣ It’s not perfect yet. AI isn’t replacing human developers, but it’s transforming how we approach mundane tasks. 2️⃣ Focus matters. The real value is freeing up time for innovation—our developers can concentrate on solving complex challenges, not repetitive ones. 3️⃣ It’s just the beginning. As these tools evolve, the potential gains could be exponential. The tool we selected : www.cursor.com Please comment below with your own findings and tools you are testing.

Mastering Prompt Engineering in 2024 https://lnkd.in/dxPDwkhf

In the rapidly evolving landscape of technology, the emergence of Artificial Intelligence (AI) has sparked both excitement and trepidation. One of the latest advancements in this field is Devin, an AI system designed to revolutionize software engineering. With its promise of efficiency, accuracy, and rapid problem-solving capabilities, Devin raises a pressing question: Can AI truly replace human software engineers? This article delves into the complexities of this issue, exploring the capabilities of Devin and the implications of its integration into the software engineering domain. https://lnkd.in/gVmVig8J