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Master AI tools with step-by-step guides. From beginner to advanced.
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Master AI tools with step-by-step guides. From beginner to advanced.
Master AI tools with step-by-step guides. From beginner to advanced.
Seen “ultracode” in Claude Code and wondered what “Ultra Code Mode” is? Here is how the setting works now that it is its own toggle: how to turn it on and off, what happens under the hood, what it costs, and when to leave it off.
An AI credit is a prepaid unit of usage-based billing — in GitHub Copilot one credit is fixed at $0.01, drawn down by real token use. Convert credits to dollars, see what a balance actually buys on each model, and why vendors dropped flat-rate plans.
How to actually use Meta's frontier model — Muse Code in the terminal, the Model API in your app, what the 1M-token context is good for, and how to decide whether the 15x contributor discount is one you are allowed to take.
Four agents, one decision. We score GitHub Copilot, Cursor, Claude Code and OpenAI Codex on quality (50%), price (30%) and speed (20%) — then show how the winner changes the moment you change the weights.
Anthropic published dedicated guidance for prompting Claude Opus 5, and most of the advice is subtractive. Verification instructions, self-check reminders and delegate-more nudges that helped on earlier models now cost tokens without improving results. This guide covers the API changes that return a 400, the six prompt edits that matter, why effort is the wrong lever for response length, and the exact wording Anthropic recommends.
How computer-use AI agents work: the see-decide-act loop that lets an AI move the cursor, click, and type like a person, the two approaches (Anthropic Computer Use vs OpenAI Operator), what they are good for, and the safety limits to plan around.
A plain-English guide to retrieval-augmented generation (RAG): how the chunk-embed-retrieve-generate pipeline grounds an LLM in your own documents, the stack (embeddings, vector databases, LangChain/LlamaIndex), the three settings that decide quality, and when agentic RAG or long context beat it.
An AI agent is a system that uses an LLM to pursue a goal on its own — reasoning, calling tools, observing results, and looping until done. This plain-English guide explains agentic AI from scratch: how agents work, what they can do today, and how to get started.
A practical, step-by-step guide to Robinhood Agentic Trading: connect Claude, Claude Code, or ChatGPT to the Robinhood Trading MCP, fund a ring-fenced agentic wallet, set approval guardrails, and let your AI agent analyze and trade equities — safely.
A practical, illustrated walkthrough of Claude Code routines — saved prompts that run themselves in Anthropic’s cloud on a schedule, an API call, or a GitHub event. How to create one with /schedule or the web UI, write a prompt that behaves, pick a cadence, and worked examples you can copy.
A practical guide to Anthropic’s Claude Fable 5: how to get access, call it from the API, decide between Fable 5 and Opus 4.8, manage the premium pricing, and work with its safety guardrails.
Claude Code is Anthropic's agentic coding tool that reads your whole project, edits files, runs tests, and iterates from the terminal. A hands-on guide to installing it, how a session works, memory and customization, and where it runs.
Ollama is the free, open-source tool for running Llama, Mistral, Qwen and more directly on your computer — private, offline, and free. A hands-on guide to how it works, picking a model for your hardware, and calling it from your own code.
The Model Context Protocol is the open standard that lets AI apps plug into your tools and data — like a USB-C port for AI. A hands-on guide to the architecture, the three server primitives, and connecting (or building) your first MCP server.
Agent Skills are folders of instructions, scripts, and resources that Claude loads on demand to specialize at a task. Here’s how they work, how to build one, and why they’ve become a cross-vendor open standard.
A deep dive into the agent that writes our daily AI news — the loop, the prompt, the tools, the validation, the caching, and the five lessons that took us months to learn.
Lovable reached 8M users and $206M ARR by late 2025 as the leading no-code AI app builder. This guide walks through what it generates, when to use it instead of v0/Cursor, and how to ship a real product.
v0 has become the dominant prompt-to-UI tool for React developers — generating shadcn/Tailwind components from natural language and shipping straight to Vercel. This guide covers v0 vs Cursor, prompting patterns, and the new v1 model.
OpenClaw is the viral 2026 open-source personal AI agent — 250K+ GitHub stars in 60 days. It runs locally, talks through Telegram/Signal/Discord/WhatsApp, executes shell commands, and uses Claude or GPT under the hood.
Cursor 3 with Composer agent — the AI-native IDE that's reshaping development. Learn the new agent-first interface, Composer model, async subagents, Cursor SDK, and how to 10x your productivity.
GitHub Copilot in 2026 — agent mode across VS Code and JetBrains, multi-model selection (Claude + Codex + Gemini), Next Edit Suggestions, and how to autonomously assign issues.