The author built a diffusion language model from scratch to better understand complex concepts, without the help of AI-generated code. They trained the 7.5M parameter model on the tiny Shakespeare dataset and shared the code on GitHub.
The author created TokenBar, a tool for real-time AI cost and token usage monitoring, after an unexpected AI bill highlighted the invisibility of spend. The product aims to make AI costs obvious, encouraging users to optimize their model interactions and reduce waste.
The author, a "vibe coder," built a Chrome extension using AI to solve their tab-hoarding problem, creating a tool similar to git stash for browser tabs. They leveraged intuition and AI to develop a solution for managing numerous open tabs and maintaining context.
A solo developer built an "AI University" app that catalogs over 260 AI tools, featuring detailed entries for categories, difficulty, and Japan support scores. The system, built with Supabase and Flutter Web, aims to organize the vast landscape of AI tools, enabling quick comparisons and independent content generation.
The author attempted to build a finance tracker CLI using only local AI in 222 minutes, encountering significant challenges and highlighting the limitations of local AI. The development process involved multiple AI agents, including Planner, Coder, and Debate.
This article recounts the journey of building an AI coding agent from scratch, utilizing a cheap VPS, a Telegram bot, and a Python script. The author chose to learn by doing rather than using existing AI coding tools available in early 2025, focusing on practical experience.
An individual is conducting an experiment to see if Claude Code can generate enough revenue to cover its own $200/month subscription by creating and selling a line of AI-powered tools on Gumroad. Several products have already been developed, and the project is on Day 11, facing initial marketing challenges on platforms like Reddit.
The author shares lessons learned after six months of an experiment to combat AI news overload by building a tool called ai-tldr.dev. This tool consolidates and summarizes information from various sources using an LLM, without distractions.
The author built "The Gift Whisperer," an AI-powered app that generates personalized gift ideas, illustrated cards, and messages in plain English, addressing the common problem of difficult gift-giving. This new app was developed separately due to its unique demands, such as long-running LLM calls and memory-intensive image generation.
The author trained an AI model using 22 photos of their cat to enable it to generate images of the pet in various scenes, employing the LoRA technique. This article details the second day of the experiment, focusing on photo preparation and selection criteria to teach the AI the cat's distinctive features.
Um estudante do ensino médio detalha como construiu um 'segundo cérebro' autônomo baseado em IA, utilizando Node.js, a plataforma Gemini e Notion.
This article details the experience of building an
The author recounts their 60th attempt to build a personal knowledge management system named "Papers," a Java Spring Boot application that consumed nearly 2,000 hours. Despite the effort, the system is used only briefly each day, ironically documenting their own development struggles more than effectively managing knowledge.
The author describes the frustrating 1,847-hour journey of building and rebuilding a knowledge management system that is barely used, despite numerous attempts and articles. The project, conceived with an AI vision to organize digital life, became an endless cycle of development.
The author reflects on their personal knowledge management system, "Papers," a Java project into which they poured 1,847 hours with a grand vision. Despite covering topics like AI, the author admits to using it only 15 minutes a day, transforming it into "existential performance art."
A developer recounts the failure of "Papers," an AI-powered "second brain" knowledge management system that turned into a digital hoarding monster despite ambitious features. This project, though a professional failure, taught more about software building than any successful endeavor.
The author recounts spending 1,847 hours on 'Papers,' a personal knowledge base designed to organize articles with AI, ultimately resulting in business failure. Initially envisioning a productivity tool, the project instead became a 'digital graveyard,' leading to a candid realization about tech dreams.