Machine Learning Guide

MLA 022 Vibe Coding: Codex vs Claude Code vs Antigravity vs Grok

Machine Learning Guide

Show Notes

What a coding agent actually is, and how Claude Code, OpenAI Codex, Google Antigravity and xAI's Grok Build differ in philosophy rather than features. Plus open harnesses pi and OpenCode, the open-weight coders, and a decision rule by constraint. Links Try a walking desk - stay healthy & sharp while you learn & code More OCDevel shows - this one has siblings, each on its own subject and produced the same way

First of three episodes on vibe coding: the field of coding agents (Claude Code, OpenAI Codex, Google Antigravity, Grok Build, pi, OpenCode) as of late 2026 and how to choose one. The next two cover the mechanics (Inside a Coding Agent) and the engineering practice (Agentic Software Engineering). Vibe coding then and now Andrej Karpathy's February 2025 post named "vibe coding": accept all, don't read the diffs, paste errors back in, and, the caveat everyone dropped, "not too bad for throwaway weekend projects." Collins made it Word of the Year 2025. The arc since is autocomplete, then chat, then agents that read, edit, run and iterate; the engineers who stayed with it moved from vibing to agentic engineering, which is the through line for the sequence. Anatomy of a coding agent The model and the harness are separate things, and most tool arguments are about one without noticing which. The harness is the loop around the model, and there are five parts worth naming: the model, the tools (read, write, shell, search, browser), the permission model and sandbox, the context strategy (what to keep, summarize, offload to files, or hand to a fresh subagent), and the surface (terminal, IDE, desktop, web, chat). Ask those five questions of any product; they matter more than the feature grid. The mechanics get their own episode. Claude Code: terminal-first and composable Anthropic's stated design is Unix-style composability: pipe logs into it, run it in CI, chain it with other tools. The terminal is the primary surface; the IDE extension, desktop app, web and mobile clients all connect to the same engine and share CLAUDE.md, settings and MCP servers, with handoffs between local, cloud and desktop. Headless -p mode, GitHub Actions and GitLab integrations, and the Claude Agent SDK make it embeddable. Subagents and worktrees are its answer to the context problem. Model tiers (Sonnet, Opus, Fable) sit behind one harness with 1M-context variants and an effort dial; usage is included in Claude subscriptions or billed via the API. Claude Code overview Model configuration Plans and costs Headless mode Subagents and worktrees Claude Agent SDK Claude Fable 5 and Mythos 5, Claude Opus 5 OpenAI Codex: cloud-first and parallel Codex CLI and Codex cloud are one product under one ChatGPT login, with an IDE extension and a desktop app; codex cloud pushes local work into a sandboxed cloud environment and applies the result back. OpenAI's framing is isolated environments, parallel tasks, and comparing multiple solution attempts, with tasks launchable from the web, GitHub, GitLab, Linear or Slack. Codex-tuned models are trained for long-running agentic work, and the newest generation keeps notes across context windows instead of repeatedly compressing a session. The CLI is Apache-2.0 open source; the Agents API brings the same harness to your own cloud agents. Codex CLI docs Codex cloud docs Model lineup and plans and credits Codex CLI source Introducing the Codex app Introducing the Agents API Google Antigravity: the agent manager Antigravity still ships under that name, and it absorbed Gemini CLI: Google retired Gemini CLI into Antigravity CLI in June 2026, and Antigravity 2.0 spans IDE, desktop app, CLI and SDK. The philosophy is supervision: "manage higher-level tasks for the Agent, not individual tool calls," with agents working across editor, terminal and browser and producing artifacts you review. The model menu is multi-vendor on consumer tiers (several Gemini tiers plus Claude Sonnet and Opus and GPT-OSS); enterprise

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