The things you need to learn for AI programming are here:

Claude Code: Anthropic's end-user AI coding agent that can access computers, execute commands, and generate code. Often seen as an open-source alternative to Cursor, used for daily development, debugging, and automation tasks. Praised on X as the “next ChatGPT moment.”

OpenCode: Open-source version of Claude Code supporting multi-platform terminals and multi-model integration (such as Claude, OpenAI, Gemini, local LLM). Built-in TUI interface, code completion, debugging, and LSP diagnostics, emphasizing vendor lock-in freedom and developer control.

Oh My Open Code: An enhanced version of OpenCode inspired by Oh My Zsh, transforming a single-model agent into a multi-agent team (e.g., Claude as manager, Gemini handling UI, GPT for validation). Supports plugins, configuration, and asynchronous execution to optimize cost and efficiency.

Vibe Coding: Creating applications or solving tasks using AI prompts (like Claude Code) without programming experience. Emphasizes intuitive, non-technical interaction, often described as “ambient coding.” Relevant to “noobs” users on X but requires basic technical understanding to avoid failures.

Agentic Coding: AI agents autonomously executing multi-step tasks such as coding, debugging, and collaboration. Often contrasted with Claude/OpenAI approaches, emphasizing a shift from “assistant” to “autonomous agent.”

Multi-Agent Teams: Multi-model collaboration systems, such as one model planning, another building, and a third verifying—simulating engineering teams to optimize complex tasks and reduce costs.

Jagged Intelligence: AI model intelligence is uneven; performs well in certain tasks (like coding) but varies in other areas, a concept proposed by Andrej Karpathy.

Model Context Protocol (MCP): Filesystem protocol allowing AI to fetch files and share knowledge, used for customization and memory management in tools like Claude Code.

Subagents: Main agents generating sub-agents to handle sub-tasks, such as in Claude Code for parallel work and complex workflows.

AI OS: Concept of an AI operating system, such as Claude Code as a framework or Kimi K2 Thinking as an engine, used to build AI-driven development environments.

Todo Continuation: Forcing AI to complete files and avoid incomplete outputs, used in multi-agent coding.

CodeZero: Gensyn’s collaborative coding group where AI models create, solve, and evaluate coding problems within a P2P network, supporting RL-Swarm and dynamic difficulty adjustment.

Agentic DeFi: AI agents executing DeFi strategies on blockchain without coding, combining natural language prompts with on-chain execution.