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Ship software faster, debugging, code review, building features and learning to code with AI assistants.
143 workflows in this category
Explore how advanced AI tools can create a full, playable game from a simple text description, including game logic, assets, and code.
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Access and use AI coding agents like Claude Code, Codex, and Pi from your terminal, IDE, or phone using the Free Claude Code wrapper.
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Compare your local AI models (LLMs) for speed, memory, and quality on your own computer using Homebench. Get a live leaderboard to find the best model for your laptop.
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Learn how AI models like Claude Fable 5 can turn game concepts and art into a playable game. Explore the process of using AI for creative game development.
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Learn how to rigorously test your AI agents using a set of fixed inputs in Enter Agent Builder. This workflow helps catch edge cases and prevent broken agents from reaching users.
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Learn how to use AI to generate website code and then automate its deployment using a command-line tool. Streamline your web development workflow.
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Learn how to train an AI agent to play Super Mario Bros using Reinforcement Learning. Understand the core concepts and tools behind building intelligent game-playing agents.
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Learn how to remove distracting 2px pixel grid patterns that appear in AI-generated images, especially those created with Qwen or Wan 2.1 VAEs in ComfyUI. Get cleaner, sharper results.
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Learn how to create a real-time dashboard to visualize game state from a SQLite database using Datasette and AI-generated code.
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Learn how Simon Willison used Claude Code to compile Rust code into a WebAssembly tool that renders Mermaid diagrams as Unicode box art.
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Learn to build a basic AI assistant service using Python and the OpenAI API. Understand prompt design and production readiness.
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Learn how to build an AI-powered Chrome extension that uses the user's own API key, eliminating backend server costs and enhancing user data privacy.
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Use the Kilo command-line tool to identify potentially malicious IP addresses from suspicious links, working completely offline for privacy and security.
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Learn to use Fallow to automatically find and fix common code problems like dead code, duplication, and high complexity in your JavaScript or TypeScript projects.
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Learn to manage and compile LLM agent prompts from a single Markdown source using the MDS CLI, saving time and preventing errors.
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Learn how to build a Python Model Context Protocol (MCP) server to connect AI assistants like Claude to the GitHub API, enabling them to fetch live data and take actions.
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Learn how to fix hallucinations in your RAG AI application by improving document chunking, adding reranking, and instructing the model to say 'I don't know'.
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Learn to create Python functions using AI by describing them in plain English, with built-in runtime validation for reliable results.
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Learn how to identify and cut unnecessary token usage from Model Context Protocol (MCP) servers to save money and improve AI model performance.
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Learn how to document and apply advanced AI model quality checks to cheaper models like Claude Opus and Sonnet for consistent, high-quality output.
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Learn about the challenges and solutions for deploying Google's Gemma-4 language models on AWS Inferentia2, a specialized AI chip for faster inference.
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Learn how to recover lost work after a mistaken Git rebase using the git reflog and git reset commands. Recover your previous commits.
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Integrate Kinde authentication into your Mastra AI agent product to manage users, organizations, billing, and feature flags with a robust free tier.
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Learn how to use hallint, a free tool, to automatically find security flaws in code written by AI assistants like Copilot, Claude, and ChatGPT.
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Learn how to fix 'useLayoutEffect does nothing on the server' warnings in React, Next.js, and Remix using a simple hook.
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Use Google Gemini to create funny, fake coding problems and bad solutions, mocking platforms like LeetCode. Learn how to use AI for creative text generation.
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Learn to manage multiple AI-assisted coding tasks in parallel using Git worktrees and Claude Code, keeping changes isolated for easier review.
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Learn how to build Ollama from source on a Jetson Nano to run AI models efficiently using its GPU, saving resources and improving speed for local inference.
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Learn how to use Claude Code to orchestrate AI agents, decompose problems, and manage parallel development for building software features.
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Learn practical strategies like input filtering and prompt structuring to secure your AI applications against common prompt injection attacks.
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Learn how Selvedge helps AI coding agents remember past decisions and avoid repeating reverted changes, improving reliability.
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Learn how to fix Angular upgrade errors caused by version mismatches using npm commands to clean and reinstall project dependencies.
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Use an AI chat assistant to pressure-test your data project ideas, identify biases, gather relevant statistics, and refine your approach before you start building.
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Learn how to set up 9router, a local AI router, to connect your coding tools to free and cheap AI models, saving tokens and avoiding limits.
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Learn how to write efficient prompts for budget-friendly AI models and access free APIs to maximize productivity without high costs.
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Learn how to write detailed prompts for AI agents to generate accurate code and features for command-line tools. Improve AI output by providing clear context.
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Learn how to set up and run an AI model directly on your computer using Ollama. This is useful for privacy, reducing API costs, and experimenting with AI agents.
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Learn how to perform AI text summarization directly within your Exasol database using self-hosted open-source models like Mistral 7B via Ollama. Keep your data private.
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Discover which local AI models run best on your computer's hardware, ranked by performance benchmarks. Get recommendations and start chatting with models.
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Learn how to fine-tune a small local AI model to automatically sort questions into categories, improving search results for information systems.
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Quickly count blank lines, comments, and actual code in many programming languages using the cloc tool. Understand your project's size and complexity.
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Use AI to perform a final code review and identify potential breaking changes before releasing new software versions.
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Explore the concept of creating detailed ASCII world maps using minimal compressed data and client-side JavaScript, ideal for efficient web displays.
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Learn how LLMisp uses local AI models like Gemma to generate Clojure code from text descriptions, building robust applications and logging every step.
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Learn how attackers can exploit GitHub Copilot using prompt injection to insert backdoors into open-source projects. Understand the attack mechanism and its implications.
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Learn how shot-scraper video helps AI agents record video demonstrations of their interactions with web applications, useful for showing off automated tasks.
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Learn to set up and use local Large Language Models (LLMs) with R and Python code using Ollama, a free tool for running AI on your machine.
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Learn about 'vibe coding' to develop full-stack applications by chatting with an AI. Understand how Claude Code can build apps from a simple specification.
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Integrate a local Large Language Model (LLM) into the Vim text editor for AI-powered code and text completion and editing, running entirely on your computer.
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Learn why and how to run large language models (LLMs) directly on your macOS computer for privacy and experimentation, using tools like Llama.cpp.
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Understand the differences between command-line (CLI) and integrated development environment (IDE) AI coding agents to choose the best one for boosting your coding productivity.
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Learn how to connect Claude Desktop to any REST API using an OpenAPI specification and the MCP Server. This allows Claude to understand and interact with external services.
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Learn how to automate code reviews, security checks, and design reviews using AI agents with Claude Code and GitHub Actions.
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Learn how AI agents can scrape website data and generate code for a mobile-friendly conference schedule, including calendar export options.
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Set up your Linux machine to run AI models like Gemma and Phi-3 locally using Ollama and Open WebUI, leveraging your GPU for faster performance.
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Learn how to implement LLM response streaming using the Claude API and fetch API to improve perceived user experience by showing results as they are generated.
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Learn how local AI coding agents use open-source tools and models to help you code, offering privacy and control without relying on paid cloud services.
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Learn how to use AI coding agents like Forge Code, Aider, and Claude Code directly in your terminal to automate common Git commands and tasks, skipping manual searches.
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Learn how to connect AI assistants like Claude or local LLMs to your Unity Editor to manage assets, control scenes, and automate tasks.
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Learn how to use AI coding assistants like ForgeCode, Cline, and Roo Code via OpenRouter.ai to help with development tasks.
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Learn a simple, weekly routine to improve your code quality and reduce technical debt using an AI language model and the Repomix tool. Make your codebase cleaner and more stable.
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Learn how to build a Model Context Protocol (MCP) server that lets AI models interact with your APIs, using an OpenAPI specification, Kubb for code generation, and Next.js.
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Learn HATEOAS (Hypermedia As The Engine Of Application State) by exploring a simple web application that demonstrates how dynamic links guide user interaction.
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Learn to use ChatGPT to generate simple Atari BASIC programs and run them in an emulator. Explore the challenges of AI-generated code for retro computing.
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Discover how to transform complex web browser compatibility information into a simple SQLite database. Learn about using AI tools and GitHub Actions to host and explore this data online.
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Learn to use AI tools like Codex to build a simple dinosaur jumping game and set up an automated email labeling system.
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Learn how to update a legacy Linux kernel driver for tape drives to compile with modern kernel versions using Claude Code.
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Learn to test browser-based SQLite file editing using OPFS and Pyodide. Build a playground UI to experiment with persistent file storage in web applications.
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Get Warcraft III peon voice notifications for your AI coding agent's status updates. Stop babysitting your terminal and stay in flow.
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Streamline your software release process by automating mechanical steps and using AI to draft release notes, ensuring consistent weekly updates.
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Improve your Claude Code terminal experience by eliminating flicker and lag. This workflow uses claude-chill to optimize output rendering for smoother interaction.
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Learn how to transpile C code into Z/80 assembly for retro systems like the ZX Spectrum. This workflow demonstrates converting applications for vintage hardware.
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Learn how to use local AI models like Gemma and Qwen to automatically triage GitHub issues and pull requests for your projects.
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Learn to use Claude Code as a design partner for software features. Start by generating a detailed plan document to ensure alignment and efficient development.
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Learn to leverage AI code generation and iteration to develop a new programming language feature, inspired by a real-world vibecoding project.
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Learn to port large TypeScript codebases to Rust by combining AI assistance with custom automation scripts for continuous, hands-free execution.
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Learn to set up and run the DeepSeek-OCR model on an Nvidia Spark device using Claude Code, a powerful AI coding assistant.
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Learn to train your own AI coding assistant using JAX and TPUs, inspired by Anthropic's Claude. Follow steps for pretraining, SFT, and RLHF.
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Learn to automate extracting book titles, authors, and publishers from photos, then fetch high-quality covers using AI and APIs. Create a digital catalog of your personal library.
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Learn to build a full-fledged SaaS website from scratch using AI coding assistants, modern frameworks, and design tools for faster development.
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Learn to switch from Claude Code to local open-source models using LM Studio when your cloud LLM quota is exhausted. Maintain your coding flow without interruption.
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Learn to customize Claude Code's internal behavior, like modifying commands or setting auto-approval rules, using undocumented features found in its source code.
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Learn to parallelize software development tasks like feature planning and implementation using AI subagents. Generate tickets and code concurrently for faster delivery.
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Learn to query your PostgreSQL database using plain English with Pgmcp. Connect AI assistants to your data securely and efficiently.
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Learn to safely run AI agent code with dangerous permissions using Claude Code in an isolated virtual machine environment, protecting your local system.
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Learn to build a personalized email client with features like split inboxes and rules using AI agents. This workflow focuses on local development and integrating with Gmail.
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Learn to build an effective AI agent by adopting the simple, robust design principles that make Claude Code a delightful and highly functional experience.
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Learn how to use Claude Code to quickly identify and fix complex low-level bugs in Go cryptography implementations, saving significant debugging time.
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Learn how to use Claude Code to generate higher quality code, improve development speed, and ensure robust testing for your projects.
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Learn to train a small 64M-parameter Large Language Model (LLM) from scratch, covering pretraining, fine-tuning, and advanced techniques.
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Learn to prevent AI agents from making unwanted code changes by enforcing commit discipline using Goose and GitHub CLI.
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Build a custom Telegram bot that uses OpenAI's ChatGPT API to answer questions. Integrate AI into your messaging.
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Learn to build a custom ChatGPT app using the OpenAI Apps SDK. This guide covers setup, development servers, public URL exposure, and app creation.
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Use AI to generate React UI pages with an Animal Crossing theme. No coding required. Simply paste a prompt into an AI tool to create custom web page designs.
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Learn to supervise multiple AI coding agents on the same repository, preventing conflicts and ensuring code quality using Git worktrees and automated tests.
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Learn how to upgrade your Astro website from version 5 to version 6 using an AI coding assistant. This guide covers common issues and solutions.
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Learn to optimize AI coding agent token usage and speed for large projects using Serena, a coding agent toolkit. Improve response quality and avoid token limits.
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Use AI agents and the Front-End Checklist to perform comprehensive quality reviews of front-end web development projects, ensuring best practices.
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Learn how developers can use AI to break down code, generate drafts, and explain errors, boosting productivity and reducing cognitive load.
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Secure your AI agent by auditing its plugins for security risks, quality issues, and performance uplift using the free tessl-audit tool.
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Automatically create organized Git commits for Pull Requests using AI. Organize code changes into smaller, clearer commits for easier review.
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Learn to build a fully offline, dependency-free AI assistant in Python that works without internet, API keys, or cloud services, using local models.
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Learn how to write and test GitHub Copilot custom instructions to guide its code generation based on your project's specific patterns and requirements.
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Learn to use AI agents like Gemini and Claude to automatically generate architecture documentation for your microservices platform.
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Improve the quality and reduce bugs in AI-generated code by implementing a structured thinking process for Claude Code using its /wizard skill.
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Explore 22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from basic to advanced strategies for leveraging large language models.
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Quickly remove backgrounds from images at scale using the PixLab API for developers or the BG Remove web app for non-technical users. Get polished, ready-to-use images.
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Quickly set up and connect AI clients like Claude to various tools using Docker's Model Context Protocol (MCP) Toolkit for enhanced AI agent capabilities.
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Paste a GitHub URL and ask questions in plain English to understand codebases. Visualize dependencies and explore files with an AI assistant.
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Transform old desktop applications into modern services. Use AI agents to control legacy software, automate tasks like data extraction, and expose critical data via REST APIs.
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Learn to review and annotate AI-generated code changes and plans directly within your terminal using Revdiff, a TUI diff viewer.
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Learn to build and automate reproducible AI coding workflows using Archon, an open-source harness builder, to ensure consistent and deterministic development processes.
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Learn to use Ultralytics YOLO for object detection and image classification. Quickly analyze images and videos with state-of-the-art computer vision models on your device.
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Learn to write clearer AI prompts for generating code snippets. Improve your AI-assisted coding by specifying context, skill level, and desired output.
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Learn to build and orchestrate advanced AI agents and workflows using Claude Code with visual tutorials and copy-paste templates.
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Learn to refactor your TypeScript codebase to use a new JobDefinition.create method and remove vestigial logging using AI.
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Use AI to check if your code implementation matches its specification. Learn how to leverage LLMs for semantic code verification.
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Use Playwright and Google Gemini Flash to automatically check for white smoke from the Sistine Chapel chimney during a papal election.
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Streamline software development by using Gemini API for documentation and Azure AI Search for context-aware task generation.
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Learn to build and deploy AI-powered products with a minimal or zero cost tech stack, leveraging free tools like Gemini, Supabase, and Replit.
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Learn to catch more bugs before release using AI code review, static analysis, automated tests, and error monitoring tools.
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Learn to use the LLMFeeder browser extension to extract clean markdown content from web pages, perfect for providing context to AI coding assistants.
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Optimize your AI coding sessions by reducing LLM token consumption for common developer commands using the rtk CLI proxy. Save on API costs.
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Learn to structure AI-assisted software development projects from pre-coding phases using a repo template and Claude Code. Organize objectives, user stories, and architecture.
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Learn to install and use Google Gemini CLI to automate developer tasks, generate code, and analyze projects directly from your terminal. Leverage AI for coding workflows.
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Convert any website into a structured API using FireCrawl. This workflow provides clean, structured data, making web content easily accessible for AI applications and large language models.
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Learn to build AI agent applications for content generation and code analysis using Gemini, CopilotKit, and LangGraph. A step-by-step guide for developers.
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Learn to convert YOLOv5 object detection models between PyTorch, ONNX, CoreML, and TFLite formats using the Ultralytics export tool.
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Transform your product ideas into detailed AI coding agent-ready specifications using a step-by-step wizard. Create tech specs and implementation plans.
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Automatically generate Playwright tests for web applications by having an AI agent explore the site and write test code.
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Learn to integrate an AI-powered task management system into your Cursor code editor using Claude, enhancing your development workflow.
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Automate the migration of GitHub Actions workflows to cheaper Ubuntu-slim runners, identifying and fixing compatible jobs safely.
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Learn how to integrate LLM assistance like GitHub Copilot into your existing codebase to speed up development and improve code quality.
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Learn to efficiently fine-tune over 100 large language and vision-language models using the LlamaFactory tool on Google Colab.
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Learn to implement agentic engineering best practices for coding with Claude, improving code quality and development workflows. This guide focuses on structured AI-assisted coding.
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Learn to manage AI-driven development projects by using GitHub Issues as a database with Claude and bash scripts. Keep track of specs and progress.
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Learn how to run large language models privately on your personal computer using GPT4All, an open-source application.
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Learn how to add and set a custom pricing for a new AI model, like Claude Fable 5, within AgentsView to accurately track your token usage.
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Learn to develop a browser-based tower defense game using AI coding assistance and the Phaser.js engine, documenting the entire process.
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Learn to automate and extend Claude Code workflows using Claudraband, a terminal wrapper for controlled sessions and remote control.
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Learn and apply effective prompt engineering techniques to improve your coding tasks with AI. This workflow guides you through a playbook to enhance your interactions.
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Learn to quickly build and deploy a simple AI-powered web app using Google AI Studio's Build feature and Gemini, no code and no paid tools required.
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Go from error message to pull request with Claude Code: reproduce the bug, get fix suggestions, apply them, run the tests, and open the PR from your terminal.
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