Abhishek Nanda’s Post

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Coding, Coaching, and Cheering | Software Engineer | Passionately Crafting Exceptional User Experiences | Sports Enthusiast

As a fellow developer, I am excited to share how AI assistants like ChatGPT are revolutionizing our craft. These tools have evolved from simple code generators to invaluable collaborators, supporting us throughout the entire software development lifecycle. They break down complex systems into understandable language, suggest code improvements, and handle those repetitive tasks that used to bog us down. This means we can now focus on the creative, impactful aspects of our work, leading to higher efficiency and deeper understanding of our code. One standout example is Romain Huet's demonstration of the ChatGPT desktop app as a coding assistant. Unlike traditional tools such as IDEs or version control systems that have incrementally supported us, this new approach leverages multimodal capabilities for real-time feedback, representing a significant leap forward. The experience is akin to having a pair programming partner who is always available, responsive, and insightful, but without the need to constantly switch windows or type out prompts. I was particularly impressed by how interactive and intuitive this new system is. It felt like a natural extension of my workflow, enhancing productivity and making coding a more seamless experience. This is truly a game-changer for us developers, opening up new possibilities and elevating the way we build software. #AI #softwareengineering

View profile for Addy Osmani, graphic

Engineering Leader, Google Chrome. Best-selling Author. Speaker. I want to see you win.

ChatGPT desktop: debugging with AI takes a step forward I was impressed by Romain Huet's talk at the AI Engineer World's Fair, where he demonstrated the practical power of ChatGPT's new desktop app as a coding assistant. GPT could "see" what he could. The best part was the use of the desktop app's audio/video capabilities which allowed Romain to get real-time feedback and suggestions from as he worked on his code. It felt like watching a developer collaborate with a teammate, only this teammate was AI. It demonstrated how LLMs + multi-modal support can be a valuable resource for not just brainstorming ideas or generating code, but also for just getting real-time feedback and refining existing code. An advanced rubber duck of sorts. This fits well into the role of AI as an "assistant" for developers. I think the potential applications here are many. Check out the video! #softwareengineering #programming #ai

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