GPTPromptSpot’s Post

Level 1 of AI Development: Hop in to ChatGPT or Claude, ask it for a component. Level 2: GitHub Copilot autocompletions Level 3: Chat Integrated into your IDE, like with Cursor or Avante, where you can say: "make X component like Y component, keep the styling, but do A, B, C differently, here's the schema for Y model: ..." And we're just getting started. What's level 4?

Are AI Tools Replacing StackOverflow? The chart below shows a clear trend: Stack Overflow traffic is declining as tools like GitHub Copilot and ChatGPT gain popularity. AI is changing how developers work. Instead of searching forums, we’re now getting answers, code suggestions, and debugging help directly in our editors. But this raises some questions: • Do you still use Stack Overflow, or has AI completely taken over? • Is this shift improving how we learn, or are we relying too much on AI? Let’s hear your thoughts! 👇 #softwareengineer #chatgpt #programmer #AItools

This is taking AI assistants to another level for software engineers.

Debugging live with an AI companion (ChatGPT 4o Desktop, with the yet unreleased audio/video features), the future of coding will look more like this. More talking, less typing. My computer science professor taught me to write full detailed English explanation as a precursor to any code. (Thanks Arthur Yanushka.) He would grade us on the length and detail in our prose more than the code itself. The premise of the grading was that it's more important to be able to describe the solution than to code it. AI and the ability for it to turn natural language into code so well has made the ability to describe and talk through code critical.

Future of coding is awesome

Okay, so this is happening. This begs the question: In terms of app integrations, will there be any demand for broad-scope custom AI assistants (think VS Code's Copilot), or will the use cases of such tools get more specific, such as NPC's in video games or RoomTube's Virtual DJ? I think the former category will slowly become obsolete as we progress into the your-device-can-see-and-hear-everything-that-you-can era, while the latter will still have a place as a way to increase immersion and improve UX.

Here is a list of AI developer tools I have used and paid for in the last few months. - ChatGPT - Cursor - Copilot - Claude - CodeGPT (IDEA Plugin) - Midjourney

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

One of the best uses of generative AI is helping software engineers speed up their workflow, including making debugging and writing boilerplate much easier. A few weeks ago, I came across Cody, an AI coding assistant made by Sourcegraph. It has truly made my work so much more efficient! It has a VSCode extension, and JetBrains extensions in beta. The Pro tier costs half as much as ChatGPT Plus, Claude Pro, or GitHub Copilot, and still provides unlimited autocomplete suggestions and chats. It allows you to choose from a list of LLMs (including GPT-4T, and the groundbreaking Claude 3 Opus model in v1.8!). The best thing, however, is that it intelligently scans your codebase to include relevant lines of code, and even entire files, in its context to give highly relevant and tailored answers. You can also explicitly tell it to read certain files, or create embeddings for your repository. I highly encourage all engineers to give it a shot, if you haven't already! #ai #generatieveai

What AI tools are developers turning to? 💻 Stack Overflow's most recent Developer Survey revealed which AI-powered search and developer tools are leading the pack among programmers: 📊 ChatGPT takes the crown with an impressive 82%, helping coders brainstorm, debug, and streamline tasks. 💡 GitHub Copilot follows with 41%, transforming the way developers write and optimise code. 🌐 Google Gemini and Bing AI round out the list with 24% and 16%, respectively, showing growing adoption in specific use cases. Whether it’s about efficiency, creativity, or innovation, AI is shaping the future of development. Which tool do you rely on most? 🚀 #AITools #DeveloperTech #FutureOfCoding #ChatGPT #GitHubCopilot #GoogleGemini #BingAI #TechInsights #AIForDevelopers