OpenAI Codex tutorial spotlights 7 workflows

Codex is moving up the stack from code completion into workflow orchestration, and that matters because the real moat is becoming task coverage, not just model quality.

• –OpenAI’s own Codex docs now emphasize use cases beyond pure coding, including inbox handling, tabular data, onboarding, feedback synthesis, and computer use
• –The “super-app” framing suggests Codex is being positioned as an agent hub across CLI, IDE, web, and background automation, which is a stronger story than a standalone coding tool
• –For developers, the implication is workflow consolidation: one agent layer can increasingly cover coding, docs, data cleanup, and operational chores
• –The risk is overreach; broader knowledge-work scope raises the bar on reliability, permissions, and reviewability compared with narrow code-only tasks
• –This is also a competitive signal to tools like Cursor, Claude Code, and GitHub Copilot that the next battleground is end-to-end work, not just editor assistance