What problem does it solve?
Codex usage helps users automate code analysis, refactoring, and automated editing by running Codex CLI commands and leveraging GPT-5.2 for modern software engineering tasks. It reduces manual toil in inspecting and modifying codebases and enables guided AI-assisted edits.
Core Features & Use Cases
- Default model and reasoning selection: Always start with gpt-5.2 and prompt the user to choose reasoning effort (xhigh, high, medium, or low).
- Sandbox and resume support: Choose appropriate sandbox (read-only, workspace-write, danger-full-access) and resume sessions with the provided syntax.
- Command orchestration: Assemble codex exec invocations with essential flags (-m, --model, --config, --sandbox, --full-auto, -C, and --skip-git-repo-check) and automatically prepend 2>/dev/null where applicable.
- Session persistence and output handling: When resuming, pass the last session and summarize outputs for the user; suppress thinking tokens by default unless requested.
- Use Case: A developer wants to analyze a repository, apply a refactor, and capture the resulting code changes with an AI-assisted workflow.
Quick Start
Speak a request to run Codex across a repository and report back with the edits.