David Parry’s Post

Creating Apps with natural language might be the future of programming. It might not be there yet and it doesn't addres the backend with relevant data and business logic, but it is clear that software engineering will not continue as it is up to now. #softwareengineering #naturallanguage #programming #ai #genai https://lnkd.in/eWCiJam8

www.presse-board.de Five AI Coding Assistants to Watch in 2024 - https://lnkd.in/e_E6X7CF - Programming is the backbone of modern software development, as this aids in driving creation when creating innovative applications and systems that eventually power the digital world. However, the coding process can be complicated and challenging, but thankfully, with the development of modern software, software developers (DEV) can easily navigate intricate syntax, troubleshoot errors, and manage large codebases. Therefore, with the introduction of AI, coding assistants have emerged as valuable partners that can change the programming game forever and enhance the coding experience for DEV. In today’s AITechPark article, we will explore the top five AI Coding Assistant tools, especially those […] - Presseportal: Presse-Board.de

11 best AI coding assistants: The ultimate guide in 2024 In the era of AI, coding assistants like GitHub Copilot, Tabnine, and others are revolutionizing the way developers write code. Each of these AI tools offers unique features and capabilities to enhance the coding experience, catering to various programming languages and specific development needs. Additionally, n8n provides its own AI coding tools: Ask AI, a context-aware coding assistant, and Advanced AI integrations with the LangChain library for creating custom AI-powered workflows in a low-code automation platform.

Meet Devika, an advanced AI software engineer that stands out in software development. Devika offers a unique set of features geared towards simplifying and optimizing the coding process. With its ability to comprehend high-level human instructions, conduct focused research, and write code in multiple programming languages, Devika is poised to be a valuable assistant to developers of all skill levels. Check out this article to learn more about Devika, an open-source AI software engineer that aims to be a competitive alternative to Devin by Cognition AI: https://lnkd.in/d96-YWDf

🚀 Create a local AI Coding Assistant for VSCode with Mistral's Codestral Let's create it step-by-step together!👇🏽 What is Mistral's Codestral? - Open-source model for code generation tasks - Trained on a dataset with 80+ programming languages - 22B parameters and 32k context window You can run the model 100% locally! No need for expensive coding assistants like GitHub Copilot. ➡️ Step 1 - Download Ollama and Mistral's Codestral - Download the free open-source tool Ollama that lets you run LLMs locally - Download the model codestral ➡️ Step 2 - Download Continue VSCode extension Continue is an open-source extension for VSCode that helps you create your own AI development environment. Next, install the Continue extension for VSCode from the marketplace. ➡️ Step 3 - Connect VSCode with Codestral - Click the '+' button - Select Ollama as your provider and choose the option 'Autodetect' - Ollama automatically populates the model list with all your local models. Now, Codestral is ready to assist you in VSCode! ➡️ Step 4 - Use Codestral as your personal coding assistant Autocomplete code: When you start coding, your assistant automatically generates suggestions for you. This will increase your coding speed. 💡 Bonus: Connect via API with the codestral model If hardware constraints are an issue, you can also connect to codestral via Mistral's API. During the beta period, the API is free for 8 weeks. Transform your coding experience today! It's like having a coding buddy right in your IDE! No need to switch to StackOverflow or Google. Want to dive deeper? Check out our full article on Tinz Twins Hub for detailed steps and examples. #ArtificialIntelligence #Coding https://lnkd.in/epf8HVrR

AI coding assistants are revolutionizing the software development industry by generating code, automating tasks, and providing intelligent suggestions that enhance productivity and code quality. They help developers focus on creative problem-solving, accelerating project delivery. Popular tools like GitHub Copilot and Tabnine integrate seamlessly with IDEs, offering real-time assistance in writing, debugging, and reviewing code. These tools are valuable for both novice and experienced programmers, enabling faster time-to-market, cost savings, and continuous improvement in coding practices. However, while AI assists in various stages of development, the strategic and creative aspects still rely on human expertise. https://lnkd.in/eX6xmm7y How do you think AI coding assistants will impact the future of software development? #AICoding #SoftwareDevelopment #TechInnovation #ProductivityBoost #FutureOfCoding

Accelerate Your Code Mastery: A Deep Dive into Tabnine AI for Effortless and Efficient Development with a temporary free course "Mastering Tabnine AI for Efficient Code Development". The course provides hands-on experience, guiding learners through Tabnine's installation, integration with popular IDEs, and its application in code generation, from function signatures to self-healing processes. Special emphasis is placed on language-specific features and capabilities, ensuring participants gain a nuanced understanding of Tabnine across programming languages. The course rating is 4.3 🌟 The coupon is AISKILL4U ❗Please note that the coupon has a maximum possible redemptions and the price can change anytime❗ https://lnkd.in/gqGfJ-Sq #AI #Tabnine #Freecourse

Even with AI, there’s still a big gap for AI-assisted coding tools to help non-technical professionals build software. With just 1 week, here's what I've discovered: 1. 🤖 AI-assisted IDEs are revolutionary, but they're designed with professional developers in mind. 2. 🧩 The challenge isn't just about writing code; it's about navigating the entire ecosystem of tools. 3. 🌐 Github, databases, hosting - each has its own learning curve. AI can only help with the initial setup. 4. 💡 The promise of accelerated coding is real, but only if you're already fluent in the developer's toolkit. 5. 🚧 For newcomers, the barriers aren't in the code itself, but in the surrounding infrastructure. My opinion? While AI is making strides in coding assistance, the broader development environment remains a challenge for non-programmers. At this point, no-code development platforms like Bubble still offer an easier alternative for non-programmers to build software. These platforms abstract away much of the complexity, allowing focus on the logic and design rather than the intricacies of development tools. The next frontier isn't just smarter code assistance - it's about finding the right balance between powerful AI-assisted tools and intuitive, accessible platforms that truly welcome non-technical professional into the fold. I hope to see these improvements soon. #AIAssitedDevelopment #CodingForAll #TechInclusion #DeveloperExperience #AI

Forget the fear of AI taking away jobs; the reality is, AI is revolutionizing the way we develop software, making it not just efficient but downright addictive. Pair programming with AI, particularly with tools like GitHub Copilot, has transformed the coding experience. It's like having a tireless coding partner who's always ready to suggest, improve, and streamline your workflow. The result? Hours of coding fly by without the usual mental fatigue. This AI-enhanced coding marathon doesn't just boost productivity; it's changing our relationship with software development. Coding alongside AI isn't just work; it's becoming a form of high-tech craftsmanship where creativity and technology merge seamlessly.

AI in Coding: Your Superpower, Not Your Substitute AI has become the secret sauce in coding, turning mundane tasks into quick wins and giving developers more brainpower for the fun stuff—like solving complex problems and chasing creative solutions. Tools like GitHub Copilot feel like having a coding buddy who never sleeps, offering instant suggestions and completing lines like it’s reading your mind. But here’s the catch: just like you wouldn’t let your GPS take all the credit for your road trip, you shouldn’t let AI steal the wheel in coding. It's a tool, not a takeover. The magic happens when you pair AI with your expertise. Yes, it can whip up code faster than you can grab your coffee, but it’s your critical thinking that ensures the code isn’t just functional but brilliant and secure. Over-relying on AI can leave you rusty, and no one wants to become the coder equivalent of forgetting how to drive a stick shift. So, use AI to supercharge your skills, not replace them, and always keep your hands on the keyboard. After all, the best code comes from the perfect balance of human ingenuity and machine efficiency.