Community Picks·2y30+ app ideas with complete source code
Discover over 30 exciting project ideas with complete source code to help developers generate revenue or build their reputation. Learn to integrate AI features into React apps using CopilotKit, build backends with Appwrite, and use various other tools like Resend, Shadcn UI, Buildship, Taipy, XYflow, Pieces, and Typesense. Each project description includes a popular app built with that tool, showcasing its practical application.
Fireship·2yFront-end web development is changing, quickly
Front-end development is rapidly evolving with new tools like Shad CN, a powerful UI framework that simplifies the process of building custom components by allowing developers to copy and paste code snippets. Versell has integrated this into its ecosystem and introduced vzer, an AI chatbot that generates UI elements effortlessly. While AI tools can significantly speed up development, they come with their own set of challenges. Developers need to balance the benefits of rapid development with the potential drawbacks of using auto-generated code.
The Coding Sloth·2yHow To Study Programming The Lazy Way
Master programming by focusing on problem solving and logical thinking rather than memorizing code. Use tools like Notion for efficient note-taking and apply the 80/20 rule to maximize learning. Practice regularly, use visual aids, employ active recall, and leverage AI for better study techniques and interview preparation.
Hacker News·2yUsing GPT-4o for web scraping
A developer experimented with using GPT-4o's structured outputs for web scraping, creating an AI-assisted web scraper. While the model performed well with simple and complex tables, it struggled with combined rows and generating XPaths. Cost is a concern due to the model's character volume requirements. Future improvements could include better UX through capturing browser events and further refining HTML data cleanup.
Community Picks·2yHow to use AI for coding the right way
Using AI for coding is akin to having a knowledgeable but context-challenged intern. By guiding AI tools like Cursor and Claude Sonnet through progressive prompting and proper documentation, developers can significantly improve their workflow. Key strategies include setting system prompts, using multiple AI models for code review, and continuously learning from the process to avoid mental atrophy. This approach helps mitigate potential drawbacks and enhances coding efficiency.
freeCodeCamp·2yHow to Start Building Projects with LLMs
Becoming an LLM engineer is a promising career path. The best way to learn is by building projects. This post suggests starting with practical projects like developing a YouTube video summarizer that uses Python packages such as langchain, pytube, and youtube-transcript-api. The core bot functionality involves receiving a YouTube URL, retrieving the transcript, and using LLM to summarize the content, which is then returned to the user. For deployment, serve the summarization functionality as a Flask API and use Twilio to connect to WhatsApp for testing. The post also introduces a project-based course for LLM applications.
Community Picks·2yShould We Use ChatGPT as Developers?
Developers should consider using GPT tools like ChatGPT primarily to enhance rather than replace their learning. Early-career developers are advised to avoid using GPT to ensure they gain crucial problem-solving skills through experience. For those with a solid understanding, GPT can be a valuable time-saver for specific, well-defined tasks. The key is to use GPT to augment development skills, not fully depend on it, while being mindful of real-world project complexities and sensitive data handling.
Spacelift·2y17 Best AI-Powered Coding Assistant Tools in 2024
AI-powered coding assistants like GitHub Copilot, Tabnine, and Microsoft IntelliCode leverage artificial intelligence to help developers with code completion, debugging, and code generation. These tools use large language models trained on vast datasets to understand and suggest code, making development faster and improving code quality. Popular assistants support various programming languages and integrate with major IDEs. Pricing varies, with options for free, individual, and enterprise plans.
Medium·2yStart Building These Projects to Become an LLM Engineer
To become an LLM engineer, start by building practical projects that showcase skills in API usage and real-world applications, like chatbots for WhatsApp, Discord, or Telegram. Initial projects could include summarizing YouTube videos or handling various user queries via chatbots. The post also introduces a project-based course to help you build LLM applications and serve them as WhatsApp chatbots.
Tech With Tim·2yBuild a Python AI Voice Assistant in 30 Minutes - Full Tutorial
Learn to build a Python AI voice assistant in 30 minutes that mimics OpenAI's voice mode. The assistant uses Live Kit for low-latency voice processing and OpenAI for speech-to-text and text-based intelligence. The tutorial covers setting up a virtual environment, installing dependencies, and coding the assistant to handle tasks like controlling room temperatures. The assistant can be expanded to integrate APIs and additional functionalities.
The Developing Dev·2yA New Era of Writing Code
Large language models (LLMs) are revolutionizing coding by automating repetitive tasks, making debugging easier, and providing more efficient ways to carry out coding tasks. However, relying on LLMs can lead to a loss of understanding of the code, and they struggle with open-ended tasks and complex environment setups. Despite these limitations, they’re valuable for focused changes, basic UI, and transpiling. Knowing how to query and troubleshoot LLMs effectively is crucial for maximizing their benefits.
UX Planet·2yAutomate 90% of Your Design Job Search with This AI Workflow
Discover an AI-driven workflow to automate your job search process. This system uses tools like Bardeen for scraping job listings and Google Sheets with App Scripts to filter and organize them. It then leverages GPT-40 mini to analyze job descriptions based on specific criteria, helping you focus on the most relevant opportunities quickly.
Community Picks·2yBest Component Library for Rapid Development
Flash UI provides vital building blocks for transforming ideas into polished startups. It features fully responsive, customizable components and templates that ensure a great look on any screen. Additionally, its AI service helps turn visions into reality.
Hacker News·2yAnime Is Eating The World
Anime has evolved from a niche genre to a multi-billion dollar industry, influencing pop culture, fashion, and technology. With new technologies and business models, anime's reach is expanding through interactive fan engagement, AI companions, and user-generated content. The industry includes popular games, diverse audience types, VTubing, and AI-driven content creation tools, all of which are reshaping how fans consume and interact with anime. Platforms like Roblox and startups are also pushing boundaries, making anime a significant force in content creation and entertainment.
Tech With Tim·2y5 Ways I Use AI To Automate My Life (as a senior developer)
AI has significantly improved efficiency for this senior developer by automating various tasks. Key uses include writing detailed prompts instead of code, validating large email lists, filtering applications, generating sample data, automating endpoint testing, formatting API requests, understanding code quickly, and generating boilerplate code. The author emphasizes the importance of existing programming knowledge to effectively leverage AI tools.
Web Dev Cody·2yThis is the coolest side project I've worked on
A project is described that allows users to create videos based on written stories, focusing initially on scary stories but aiming to expand to any type of story. The process involves breaking the story into segments, generating AI-powered images for each segment using OpenAI and Replicate, and then creating a video by stitching these segments together with Lambda functions. The project also aims to include features like background music and other enhancements. Future improvements are being considered, such as using GPU-optimized EC2 instances or rewriting code in faster programming languages like Go or Rust.
On Test Automation·2yI am tired of AI
There has been a significant surge in the use of AI across various fields. While acknowledging some benefits, the author expresses fatigue and frustration with the overuse and marketing of AI as a solution for everything. The post discusses the inefficiencies of AI-powered tools in software testing, the issues with AI-generated conference proposals, and lackluster AI-generated content in general. Despite some valid applications, such as early disease detection, the author believes the current trajectory isn't entirely positive.
Hugging Face·2yLlama can now see and run on your device - welcome Llama 3.2
Llama 3.2, developed in collaboration with Meta and available on Hugging Face, includes both multimodal vision models and text-only models. The Vision models come in 11B and 90B sizes and feature strong visual reasoning capabilities. Text-only models are available in 1B and 3B sizes, optimized for on-device use. Llama 3.2 also introduces a new version of Llama Guard for input classification, including harmful prompt detection. Integration with Hugging Face Transformers and major cloud services is supported, and fine-tuning can be accomplished with a single GPU.
Tech With Tim·2yThe KEY To Thinking Like a Programmer (Fix This Or Keep Struggling)
To advance as a developer, it's essential to think like a problem solver and treat programming languages as tools to solve problems. Beginners often make mistakes like solving problems individually, failing to decompose tasks, and not planning before coding. Improving involves considering edge cases, breaking down large tasks into smaller manageable sub-problems, and planning solutions before translating them into code.
Web Dev Cody·2yMy side project now has 4 paying customers
An overview of a side project called the Scary Story Generator, which now has four paying customers. The project utilizes AI for generating story prompts, images, and videos, including specific features like TikTok shorts and customizable story segments. Despite certain performance optimization needs, the project has earned $25 in gross revenue and aims to expand beyond Halloween by rebranding for general video creation.
Community Picks·2yPlandex - AI coding engine
Plandex is an open-source, terminal-based AI coding engine designed for complex, multi-file real-world tasks. It offers generative AI-driven development with features such as automatic syntax checking in over 30 languages, precise context management, and a version-controlled sandbox for safe code changes. Plandex ensures a balance between AI autonomy and developer control, allowing for efficient iterative collaboration. It's cross-platform, installs quickly, and provides tools to recover from bad outputs, making it a practical choice for developers.
Hacker News·2yKids who use ChatGPT as a study assistant do worse on tests
A study by the University of Pennsylvania found that Turkish high school students who used ChatGPT for practicing math did worse on tests than those who didn't. Even a chatbot version designed to mimic a tutor didn't improve test scores, suggesting that reliance on AI can inhibit learning. The research points to students using AI as a crutch and highlights errors in ChatGPT's problem-solving approach.
Medium·2yGenerating Music using AI and Python!
Discover how to generate music using AI and Python with Facebook's MusicGen, a Transformer-based model. The post provides a detailed guide on setting up the Python environment with necessary libraries, importing and configuring the MusicGen model, and generating and saving music. The author also shares a future plan to create a Flask web application for generating music via a GUI.
Community Picks·2ysliday/resume-job-matcher: Resume Matcher: AI-powered resume screening tool
Resume Job Matcher is an AI-powered Python script designed to automate the process of matching resumes to job descriptions. It uses the Anthropic Claude API to analyze resumes, providing a match score and personalized email responses for candidates. Features include automated resume parsing, an advanced scoring system, multiprocessing support, and integration of personal website content. The script effectively streamlines the recruitment process by highlighting the best candidates based on customizable criteria.
Community Picks·2yWhy Generalists Own the Future
In the age of AI, generalists, who are curious about various domains and adept at solving novel problems, are well-positioned for success. Unlike specialists, generalists can leverage AI to quickly gain new knowledge and navigate complex, unpredictable environments, making them valuable in modern and future economies. This adaptability and problem-solving capability give generalists a significant advantage over both specialists and AI alone.