155 items
82 posts, 62 tools, 11 guides
AI-powered terminal built in Rust with GPU rendering. Block-based output, natural language commands, Agent Mode for autonomous tasks. 700K+ developers. Free tier available.
AI-powered terminal assistant from AWS. Natural language chat, command autocompletion, code generation. Agentic mode reads files, runs commands, and calls AWS APIs. Free tier.
AI-powered context manager that remembers your code, snippets, links, and project context across IDEs, browsers, and terminals. Local-first with 9 months of memory. Free.
Install Ollama and LM Studio, pull your first model, and run AI locally for coding, chat, and automation - with zero cloud dependency.
Deep comparison of the top AI agent frameworks - LangGraph, CrewAI, Mastra, CopilotKit, AutoGen, and Claude Code.
Two platforms, two philosophies. Here is how Anthropic and OpenAI compare on APIs, SDKs, documentation, pricing, and the actual experience of building with each.
Convex and Supabase both work for AI-powered apps. Here is when to use each, based on building production apps with both.
MCP servers and function calling both let AI tools interact with external systems. They solve different problems. Here is when to reach for each.
The TypeScript patterns that show up in every AI project. Streaming responses, type-safe tool definitions, structured output, retry logic, and more.
Anthropic's computer use feature lets Claude see your screen, move the cursor, click, and type. Here is how it works, when to use it, and how to set it up.
A step-by-step guide to building Model Context Protocol servers in TypeScript. Project setup, tool registration, resources, testing with Claude Code, and production patterns.
Transformers.js lets you run machine learning models in the browser with zero backend. Here is how to use it for text generation, speech recognition, image classification, and semantic search.
Install Claude Code, configure your first project, and start shipping code with AI in under 5 minutes.
Google's frontier model family. Gemini 2.5 Pro has 1M token context and top-tier coding benchmarks. Gemini 3 Pro pushes reasoning further. Free tier via AI Studio.
European open-weight models. Mistral Large for complex tasks, Mistral Small for speed, Codestral for code. Strong multilingual support. Open and API options.
Open-source reasoning models from China. DeepSeek-R1 rivals o1 on math and code benchmarks. V3 for general use. Fully open weights. Extremely cost-effective API.
Meta's open-source model family. Llama 4 available in Scout (17B active) and Maverick (17B active, 128 experts). Free to use, modify, and deploy commercially.

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