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Thanks to #GenAI software, anyone can start using large language models (LLMs). However, "LLMs require a very different mindset to traditional software development in terms of programming skills and quality assurance testing." Our VP of Engineering, Ebenezer Schubert, shares his advice in this new article from ComputerWeekly.com.

What impact has AI had on programming interviews that ask for take-home assignments? The community is trying to understand whether AI is cheating or makes these assignments useless. This completely misses the primary role of software developers. The goal is to solve business requirements not to generate code. Code is simply a byproduct, not the goal. If modern tools mean solving the problem faster and the candidate fully understands the code, tests, comments, and licensing, and can maintain it moving forward... they should use every tool available.

With the release of Devin (software engineering AI), how will that impact the market? The market for software development is anticipated to be significantly impacted by the debut of Devin, the AI software engineer. SWE-Bench benchmark, which challenges AI assistants with GitHub issues from real-world open-source projects, Devin was able to correctly resolve 13.86% of the cases end-to-end13. This indicates a significant improvement over previous models.(Remember ChatGPT 3.5 comes out at 0.2%). Market Impacts: Devin stands out with its ability to handle entire development projects end-to-end, right from writing the code and fixing the bugs associated with it to final execution ~This could revolutionize the software development process, and cutting down development expenses substantially Devin is capable of augmenting efficiency and speed within software development processes may rise competition in the AI-assisted development space, pushing other companies to innovate and improve their offerings

May the real Devin please stand up? 😉 No, not the first AI software engineer, i mean a human! Anyways, the AI hype is just on another level. At the end of the day, you still need a human to type some commands whether it is in English or computer languages to tell the computer to do stuffs. Maybe those commands become way less complex than the software engineering codes but you still need someone to put in commands. Therefore, at the most extreme level where AI do indeed do software engineering, Devin still needs the real Devin to work unless Devin can decides to write whatever [it] wants! Yes the thinking is simple as that!

🚨 The Death of Coding? How Large Language Models Are Transforming Software Development 🚨 We are at the brink of a major transformation in software development, and it's being driven by Large Language Models (LLMs) like GPT-4 and Claude. These AI systems aren't just assisting developers—they’re reshaping how we think about coding itself. ⚙️ Here's how LLMs are revolutionizing the development process: Code Generation: From natural language to complete programs—AI can now write functional code faster than ever before. AI-Powered Coding Assistants: Tools like GitHub Copilot and ChatGPT provide real-time code suggestions, making development more efficient. Low-Code/No-Code Platforms: Non-developers can now create software using conversational interfaces, making software development more accessible. Automated Code Optimization: LLMs analyze existing codebases, suggesting performance enhancements and fixes in real time. The result? Coding, as we know it, is evolving. 👨💻 What does this mean for developers? Shift towards prompt engineering and collaboration with AI. Focus on high-level design and creative problem-solving. Increasing demand for developers with industry-specific expertise. 💡 While traditional coding may not be "dead," it’s clear that AI is transforming the landscape. The future is all about collaborating with AI to innovate faster, solve complex problems, and democratize software creation. Let’s embrace the change and adapt to this exciting new era in tech! 💻✨ #ai #code #llm #death #coding #softwaredevelopment #software #tech #innovation #claude #cursor #future #it #IT #transformation #devs #devslife #developer #ml #ar #vr

I usually save links to cool stuff I've read for my newsletter, but I didn't want to sit on this one from Charity Majors. This article might be one of the most insightful, concise, and brilliant pieces on the tech industry I've read in years. Since the launch of ChatGPT, we've been hearing how knowledge workers will be replaced by AI. Whether or not that's technically feasible doesn't really matter. As Charity explains, software isn't just about code, and software engineering isn't just about software, but rather "[s]ociotechnical systems" that consist of "software, tools, and people." Whether you're an IC or manager, are in product or IT, take 10-15 minutes to read this. You'll be glad you did. https://lnkd.in/gpmqxRhB

The Art of Prompt Engineering Prompt engineering is the process of crafting prompts that elicit the desired response from a machine learning model like ChatGPT. It involves carefully selecting the right words, incorporating relevant context, and providing clear instructions to guide the model in the right direction. https://lnkd.in/drhXrSuv #promptengineering #chatgpt #machinelearning #airesponses #techinnovation

🔧 Must-read article: "5 Engineering Practices For Your LLM Toolkit" Quiq VP of Product Joe Rettenmeyer shares invaluable insights on bridging traditional software development with modern LLM implementation. His 20-year experience brings a practical perspective to these crucial practices: 1. API Discoverability 2. Design by Contract with AI Function Calling 3. Functional & Aspect-Oriented Programming 4. Observability 5. Continuous Integration Joe emphasizes that while embracing new technologies is crucial, foundational engineering principles remain essential. His detailed breakdown helps teams build more robust and scalable AI solutions. Essential reading for anyone working at the intersection of software engineering and #AI: https://lnkd.in/gg3ukrnx #ArtificialIntelligence #SoftwareEngineering #LLM #TechBestPractices

"Well, you're a programmer, aren't you worried about generative AI taking your job?" In some ways, yes: a lot of the things software engineers do now are prime candidates for automation simply because they're *already entirely done on computers*. A lot more has to get built to automate, I dunno, pouring concrete, than something that's already in bits on a disk. Here's the secret, though ... for decades, we've been automating everything we can anyway, and somehow we still have jobs. Way back in the day it was the shift from writing machine code to writing assembly that was going to make programmers obsolete; then it was high-level languages like C++; more recently it was low-code no-code tools. But somehow there always seems to be a higher level of abstraction where there's still a place for programmers specifically -- and humans more generally -- to add value.

This is the Next Big Thing in Software Engineering It is Devin an AI Software Engineer It can solve engineering tasks on its own using a code editor, web browser, and its own shell It's aced practical interviews with top AI companies