Codex

April 16 is turning into one of those days where you need to track multiple major AI coding tool releases simultaneously. While Anthropic shipped Claude Opus 4.7 and OpenClaw defaulted to it, OpenAI pushed a significant Codex update that reads like a direct response to Claude Code’s market gains. The three headline features are substantial, and they’re all aimed at the same outcome: giving Codex the kind of agentic reach that made Claude Code compelling. ...

GitHub just made a quiet but significant move: model selection is now available for Claude and Codex third-party coding agents on github.com. If you’re using Claude or Codex as your coding agent inside GitHub, you can now choose which underlying model powers the agent when you kick off a task — the same experience already available for GitHub’s native Copilot cloud agent. It’s a small UI change with large implications. GitHub is accelerating its pivot to being a model-agnostic multi-agent coding platform — a layer where you bring your AI of choice, not the one GitHub picks for you. ...

OpenAI published a significant milestone this week: enterprise now accounts for more than 40% of total revenue, with the company projecting that enterprise will reach parity with consumer revenue by end of 2026. Buried in the numbers is the real story — agentic workflows are the engine driving that shift. The Numbers OpenAI’s “Next Phase of Enterprise AI” post confirms: 40%+ of total revenue now comes from enterprise 3 million weekly active users on Codex 15 billion tokens processed daily via APIs Enterprise parity with consumer revenue projected by late 2026 That 40% figure is notable because a year ago, OpenAI was still primarily a consumer-facing product — ChatGPT subscribers, API developers, and a nascent enterprise sales motion. The trajectory toward revenue parity with consumer in under 12 months is a structural shift, not an incremental one. ...

OpenAI’s Codex just got a major upgrade at the model level. As of April 4, GPT-5-Codex is the default model across Codex CLI, the Codex IDE extension, and Codex cloud environments. This isn’t GPT-5 — it’s a distinct variant, purpose-built for agentic coding workflows. What Is GPT-5-Codex? GPT-5-Codex is a GPT-5 variant optimized specifically for the demands of autonomous coding agents. Where GPT-5 is a general-purpose model, GPT-5-Codex is trained and tuned for: ...

A critical vulnerability in OpenAI Codex — silently patched in February 2026 — allowed attackers to steal GitHub OAuth tokens through command injection, potentially compromising entire enterprise organizations sharing code repositories. Full public disclosure arrived March 31, 2026, thanks to research from Phantom Labs. The Vulnerability Phantom Labs, an identity security firm, discovered that OpenAI Codex was vulnerable to command injection in its shell execution environment. An attacker who could influence the commands sent to Codex — through crafted prompts, malicious repository content, or injected tool responses — could exfiltrate the GitHub OAuth token that Codex uses to authenticate with repositories. ...

OpenAI has just made a significant move in the enterprise AI coding wars: Codex now ships with a plugin marketplace featuring more than 20 integrations — including Slack, Figma, Notion, Gmail, and Google Drive. It’s a direct challenge to Claude Code’s developer momentum, and it signals that the battle for the enterprise AI workflow isn’t just about model quality anymore. It’s about ecosystem. What the Codex Plugin Directory Actually Is The new Codex Plugin Directory isn’t just a list of app connections. Each plugin bundles three things together: ...

The Python developer tooling ecosystem just had its biggest acquisition moment in years. OpenAI announced it will acquire Astral — the company behind uv, Ruff, and ty — for a reported $750 million, integrating the beloved open-source tools directly into the Codex agentic coding platform. This isn’t just a talent acqui-hire. It’s a signal about where agentic software development is heading — and how seriously OpenAI is treating the full developer workflow as its competitive battleground. ...

OpenAI is building a desktop superapp. According to reporting from the Wall Street Journal and Mint, the company plans to merge ChatGPT, Codex, and Atlas into a single unified desktop application — an agentic AI command center designed to handle autonomous tasks directly on your computer. The move would represent a fundamental product consolidation for OpenAI, which currently maintains separate surfaces for chat (ChatGPT desktop), coding (Codex), and computer use (Atlas, its agentic desktop control product). Merging all three into one interface is both a simplification play and a statement about where AI products are heading. ...

If you’ve ever watched an AI coding agent ignore your project’s conventions — using the wrong naming scheme, adding unnecessary dependencies, writing tests that don’t match your test runner — there’s a simple fix that most developers haven’t heard of yet. It’s called AGENTS.md, and it’s now natively supported by over 25 AI coding tools. What Is AGENTS.md? AGENTS.md is a plain Markdown file you place in the root of your project repository. AI coding agents read it automatically when they start working in your codebase. It tells them everything they need to know about your project’s specific conventions, constraints, and preferences — before they write a single line of code. ...

If you’ve used GitHub Copilot, Claude Code, Cursor, or OpenAI Codex and wondered what’s actually happening under the hood when the agent “thinks,” plans a multi-step fix, and edits three files at once — Simon Willison just published the definitive practitioner answer. Willison’s new chapter of Agentic Engineering Patterns — titled “How Coding Agents Work” — is the clearest technical breakdown yet of what separates a coding agent from a coding assistant, and why that distinction matters enormously for how you use and build with these tools. ...