Yoz Grahame’s Post

Tech/data leaders in my network-this article is for you. Charity Majors’ article is written for software engineers but I think it extends to data engineers and other technical data roles. In my opinion, we’re in we’ll on the way to draining our future workforce of necessary learning and skill development. Productivity tools (AI, automation, etc.) do provide benefits, but if we don’t take the time to reach and to learn then we’re going to end up relying on technology that few understand and fewer know how to operate. Complex systems require expertise to build and maintain. People require time and practice to build expertise. There are no substitutes or alternate versions of these realities. As technical leaders we have a responsibility to the profession to make sure those learning opportunities and career development paths are in place and are protected.

Having run New Relic's Ignite program for about five years, which was specifically a hiring program for early career engineers, I absolutely agree with nearly everything in this article. It's well worth a read for folks in the tech industry, especially if you're in a leadership position (but also as an engineer).

Writing and maintaining code is really the least important part of IT work. It’s crucial to understand that the code supports business processes and business rules that change over time, and that each business process is designed to generate a specific set of business value. We need to understand the business purpose of the systems we write and support, be aware of how and why the underlying processes and rules have changed over time, and be able to work with business leaders to create “future proof” systems and processes that continue to generate business value in the face of changing market conditions. These are skills that I don’t expect AI programs to have soon, or ever.

In a lecture on the future of software engineering this Spring I talked to a class of upper seniors about Generative AI and how it will change the work we do. Their biggest concern was GenAI preventing them from getting a job! In this article https://lnkd.in/g-vSwzB2 Charity Majors explains both how the current dialogue around these tools is driving this fear and why it’s not the right thing for our industry to replace junior engineers with AI.

Really enjoyed this conversation on STEAM Powered with Laura Langdon, Developer Advocate. Lots of good things here including: * integrating mathematics into other courses for deeper understanding and engagement * finding a mode of learning that allows you to thrive * recognising that your journey is not buggy, it's full of features Check it out and share! Thanks, Laura! #education #mathematics #DevRel #TechnicalWriting #careers

Key takeaways from our new paper which recorded brain responses as novices and experts read lines of code: 1) Expert programmers use information about form and meaning online to build a representation of what code does on a token-by-token basis. This evokes the same brain responses as fluent readers understanding sentences on a word-by-word basis! 2) Both behavioral and neural sensitivity to well-formedness of code develops with expertise. 3) Variable names really do matter! Regardless of expertise, the brain’s responses to variable names that were incongruent with the overall meaning or purpose of the code suggested a greater load on memory retrieval and integration processes. Thanks to the brilliant Dr. Chu-Hsuan Kuo for leading this project!

The landscape of software development is rapidly evolving, necessitating a high degree of versatility. Key advancements in Data Science, Artificial Intelligence (AI), Machine Learning (ML), and programming languages like Python are transforming software applications across various sectors. This evolution requires software developers to expand their expertise beyond technical skills to encompass a broader understanding of non-technical dimensions as well. At Present Connection, we understand that the key to thriving in this dynamic environment is continuous growth and adaptation. We actively embrace the challenge of innovation and lifelong learning, committing ourselves to stay abreast of the latest technologies and methodologies. Our strategy focuses on recruiting and nurturing top-tier talent that is always prepared for the future. And as soon as they onboard, it feels like you have been working with them for years. Present Connection. Familiar from the start. #presentconnection #softwaredevelopment #future #versatility

🚀 Embark on a Captivating Journey: “From Ada to Algorithms” Are you ready to explore the riveting saga of programming’s evolution? Look no further than “From Ada to Algorithms.” 🌐 🔍 Unravel the Tapestry of Technological Advancement Dive into the rich fabric of history as we trace the footsteps of trailblazing programmers—visionaries like Ada Lovelace, Alan Turing, and Grace Hopper. They weren’t just code-writers; they were architects of the digital age. 🌟 📜 Origins, Milestones, and Breakthroughs Discover the pivotal moments that shaped modern computing. From Ada’s poetic algorithms to Turing’s enigma-cracking brilliance, each milestone weaves a thread in the grand narrative. 🎯 💡 Iconic Languages, Algorithmic Marvels Behind every line of code lies a story. Explore the birth of FORTRAN, the elegance of C, the ubiquity of Java, and the versatility of Python. These languages aren’t mere tools—they’re cultural artifacts. 📝 🔬 Decoding Algorithms: The Heartbeat of Software Peek behind the curtain and witness the magic. Algorithms—the unsung heroes—power our apps, search engines, and social networks. Let’s demystify their complexity and celebrate their impact. 🌐 🌎 A Panoramic View of Programming History Whether you’re a seasoned developer or a curious novice, this comprehensive guide offers a sweeping vista. Key concepts, innovations, and trends converge, revealing the beating heart of our digital world. 🌐 🔍 Context Matters: Historical Insights Why did certain languages thrive while others faded? How did computing paradigms shift? Explore the historical context—the backdrop against which our binary symphony unfolded. 📚 🌟 Software’s Societal Impact Beyond lines of code, software shapes societies. From medical breakthroughs to social networks, it’s a force multiplier. Let’s celebrate the visionaries who coded our future. 🌐 📚 “From Ada to Algorithms”: Your Passport to Centuries of Ingenuity Join us on this enlightening voyage. Celebrate the pioneers, visionaries, and dreamers who stitched together our digital landscape. 🌐 #programming #history #technology #software #innovation #AdaLovelace #AlanTuring #GraceHopper

This is a quick dive into Deep Tech, going into detail such: 👉What is considered Deep Tech? 👉What are it’s challenges? 👉Common tropes within the field 👉How it’s impacted the market? Kind of cool to read about! #tech #analytics #deeptech #python #startup https://lnkd.in/g4Sgs3Fi

Is neural coding the future of software development, or a dystopian nightmare in the making? Happy New Week, Everyone. But before we start crushing this week’s goals, let's talk about this mind blowing tech I’ve been keeping up with: Neural Coding. Just imagine a world where you write code directly with your thoughts. No more typing, just pure brain to computer connection. Sounds interesting?… Neural coding research is making serious waves. Early studies show promise in translating brain signals into computer commands. This could revolutionize software development, allowing us to create software at the speed of thought. But with this great power comes great responsibility. We have to honestly ask ourselves, “are we prepared for the ethical and societal implications of this tech?” Have a productive week everyone.