Nick Talwar’s Post

Want to build better software, faster? Today, I'm sharing three statistics from McKinsey (linked below) that help explain why we're so passionate about this work. 1. Software developers can complete coding tasks twice as fast using Generative AI 2. Developers who use generative AI are 30% more likely to hit their commitments 3. Developers using generative AI were more than twice as likely to report overall happiness in their role. These incredibly powerful results are why we're pursuing our goal of cutting the time to working software in half by AI-enabling teams. If you'd like to be part of that journey, grab the Leader's Guide to AI-Enabling Your Team at https://lnkd.in/gT9J5TEK #ai#agile#agilesoftwaredevelopment#productmanagement#productowner#productowners#productownership #scrummasters #agilesoftwaredevelopment And here's the source for the stats: https://lnkd.in/gV2-sc_9

🚀 𝐌𝐚𝐱𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐰𝐢𝐭𝐡 𝐀𝐈: 8 𝐌𝐮𝐬𝐭-𝐇𝐚𝐯𝐞 𝐓𝐨𝐨𝐥𝐬 𝐟𝐨𝐫 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 𝐢𝐧 2023 🚀 In the ever-evolving world of software engineering, harnessing the power of AI can unlock incredible productivity gains. Imagine saving 3 hours in every 8-hour workday! Here are 8 AI tools that can revolutionize your workflow: 1. Stepsize AI: Achieve perfect alignment effortlessly. This tool delivers tailored weekly reports, keeping you updated without sifting through data. 2. Mintlify Writer: Say goodbye to tedious code documentation. Mintlify Writer automates this critical task, letting you focus on coding. 3. Phind: Your dedicated coding search engine. Phind offers specific, context-rich answers, saving you time on coding-related queries. 4. AudioPen: Turn your spoken thoughts into coherent notes, perfect for those who struggle with traditional note-taking. 5. Bloop: An intelligent codebase navigator that combines GPT-4 and semantic code search. It simplifies code understanding and quickens reviews. 6. Otter: Meetings made easier. Otter transcribes and summarizes meetings, freeing you from manual note-taking. 7. Quillbot: Enhance your writing with AI-powered paraphrasing. It's a fantastic tool for refining your text and making it more readable. 8. RegexGPT: Simplify Regular Expressions. Input your string and expected value, and this tool generates a RegEx for you. AI tools like these are revolutionizing the way software engineers work, enabling us to focus on what truly matters. Try them out and boost your productivity today! And, don't forget, Stepsize AI, created to streamline product development, is already transforming engineering at countless organizations. Give it a try and see how it can work for you! Let's make 2023 the year of unprecedented productivity in software engineering. Embrace AI tools and supercharge your work! 🚀 #AI #SoftwareEngineering #Productivity #Technology #Innovation

According to McKinsey analysis, AI's direct impact on software engineering productivity could range from 20 to 45 percent of current annual spending on the function. ✨ The change stems from streamlining tasks like initial code drafting, refactoring, root-cause analysis, and system design using AI-powered solutions. 💻 Generative AI tools are revolutionizing the coding industry by accelerating the development process and enabling engineers to work more effectively, leading to increased job satisfaction. 🚀💡 Curious to dive deeper? 🔍 Check out the full report on the remarkable economic potential of generative AI.  Link in comments 👇🏻 #SoftwareDevelopment #AI #FutureTechImpact

I often get asked "Will AI replace engineers"? My response? We're combining forces. Well! the thing is Generative AI has arrived on the scene, and its implications for software engineers cannot be overstated. What does this mean for engineers? ↪️Faster output  ✅Copilot by GitHub autocompletes code as you type.  ✅This can boost productivity by over 30% per developer. ↪️Error reduction too ✅GitHub found Copilot slashes bugs by up to 39% compared to unaided human coders.  ✅Higher quality code shipped faster as a result. ↪️Expanded capabilities ✅AI suggestions expose developers to alternative implementations they may not have considered.  ✅Constantly learning new techniques and approaches accelerates skills. Of course, generative AI does have limitations currently. Critical thinking and oversight is still required to validate results. But rapid advancements are unfolding. Over the next decade, programming directly from descriptions instead of coding line by line is on the horizon.  Engineers may end up managing fleets of AI doing the hands-on work. The era of AI assistance is here. Smart adoption by forward-thinking developers is the way to remain relevant. What are your thoughts? Is your team starting to leverage generative AI?  #generatieveai #mlmodels #copilotstudio #codingmagic #developercommunity #developerproductivity #rapiddevelopment #aiassistant

AI for Developers: Freeing Up Minds for Innovation! The buzz around AI in developer tools is real! At Plato Elevate, I learned how AI can empower developers. Imagine: * Reduced Repetitive Tasks: AI tools like GitHub Copilot could free developers from mundane code generation, allowing them to focus on more strategic problems. Check out my full blog post exploring this and more, including how AI can benefit junior developers! #AI #DeveloperProductivity #PlatoElevate https://lnkd.in/eXW2j23f

Excited about AI's impact on software? Join Thoughtworks's AI experts Mike Mason, Birgitta Boeckeler , and Charlie Burton from WIRED UK for a powerful discussion on AI's future in software. Limited spots, secure yours now #GenerativeAI #AI

Considering adding AI-powered tools to your team's software development workflows? The Whitespectre Engineering team shares their firsthand insights from their experiments with integrating AI tools to boost coding efficiency and effectiveness: https://lnkd.in/eg-ru-Vq In this article, we cover: ➡️ 𝗖𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗔𝗜 𝗧𝗼𝗼𝗹: Alignment is everything. Identifying the unique strengths of different tools is key for task-specific optimization. ➡️ 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆: It’s a balancing act. Learn how considering integration complexities, especially with existing codebases, can lead to more informed AI implementation decisions. ➡️ 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗖𝘂𝗹𝘁𝘂𝗿𝗮𝗹 𝗦𝗵𝗶𝗳𝘁𝘀: Embrace adaptation. Foster a culture of experimentation where AI is viewed as an accelerator, not a replacement. ➡️ 𝗩𝗮𝗹𝘂𝗲 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁: Measurement matters. Unravel the complexities of assessing AI’s true impact and discover how incremental efficiencies lead to cumulative gains. Are your teams experimenting with AI to deliver code? #ai #softwaredevelopment #code #efficiency

AI powered developer workflows are here to stay 🙌

Am curious of what you all think about Devin??? 🚀 Meet Devin: Your Ultimate Engineering Teammate! Devin is a tireless and skilled assistant, perfect for both collaboration and independent tasks, allowing engineers to focus on more complex problems and ambitious goals. Key Capabilities: Plans and executes complex tasks with thousands of decisions. Uses common developer tools within a secure environment. Actively collaborates, reports progress, and accepts feedback in real time. What Devin Can Do: Learns unfamiliar technologies and applies them effectively. Builds and deploys apps end-to-end. Finds and fixes bugs autonomously. Trains and fine-tunes AI models. Addresses bugs and feature requests in open-source repositories. Contributes to mature production repositories. Impressive Performance: Devin excels in resolving real-world GitHub issues, achieving a 13.86% success rate on the SWE-bench benchmark, far surpassing the previous state-of-the-art. About Cognition: We are an AI lab focused on building advanced AI teammates. Backed by $21M Series A funding from Founders Fund and industry leaders, we aim to turn ideas into reality.

Is AI changing the world as we know it? My colleagues are discussing how generative AI is changing software development, amongst other things in a 30 minute discussion on May 9th. Register here: https://lnkd.in/eHg6jv3r #GenAI #Data #softwaredevelopment #digitalva #AI #AIRevolution