Create websites with OpenAI Codex AI Website Generator

IDE & Terminal Integration

Codex pairs with your terminal or integrated development environment to assist with writing, refactoring, and navigating code. From a natural-language prompt or technical spec it can locate files, propose edits, implement features, and produce unit tests while following repository context. The extension supports VSCode, Cursor, and Windsurf, offering inline suggestions, quick edits, and context-aware completions. Teams can maintain coding flow by treating Codex as an intelligent collaborator that adapts to project structure and coding conventions across languages and stacks daily.

Cloud Sandbox Delegation

Codex can run tasks in an isolated cloud sandbox that mirrors your repository and environment, executing commands and producing changes without altering local files until you choose to merge. Background processes perform builds, tests, and experiments, returning diffs and artifacts for review. This model reduces context switching by letting developers offload routine edits, exploratory refactors, and reproducible runs to the service. Reviewable outputs allow teams to inspect code before pulling changes into a branch or merging into mainline.

Automated Code Review & PR Integration

Set up automated code reviews that run proactively on pull requests, annotate diffs, and suggest test coverage or style adjustments. Codex can be tagged in GitHub workflows to start tasks, propose fixes, and generate review comments that reference code context. By integrating with existing CI pipelines it helps reduce review cycles and surface risky changes early. Developers decide which suggestions to accept, modify, or reject, keeping human oversight while accelerating iteration on critical merges and release candidates across team members.

Stateful Multi‑environment Workflow

Workflows can move seamlessly between local machines, IDEs, and Codex cloud while preserving conversational state, open tasks, and branch context. Developers can start a change locally, ask Codex to continue work in the cloud, then pull reviewed edits back to their repository. State persistence prevents lost context across devices, so a code review started in an office can be resumed later on mobile or another workstation without repeating setup steps, improving continuity for distributed teams and asynchronous collaboration and uptime.

Mobile Review & Edits

Mobile integration lets users start tasks, review pull requests, and merge changes from the ChatGPT mobile application, maintaining momentum when away from a workstation. Codex surfaces diff views, test results, and suggested commits optimized for mobile inspection, enabling quick approvals or comment threads. Notifications guide attention to critical failures or pending reviews, and lightweight edits can be applied directly or queued for later. This reduces bottlenecks caused by unavailable reviewers and keeps small fixes moving through pipelines with minimal friction.

Unified CLI, IDE, and Web Interfaces

A single Codex agent runs in terminals, IDE extensions, cloud web interfaces, and GitHub, providing consistent capabilities wherever developers work. The CLI offers scripted control for reproducible tasks, the IDE extension supplies inline code actions and completions, and the web/cloud interface manages background runs and sandboxes. Consistency across interfaces means teams rely on one mental model for task delegation and review. Administrators can configure access through ChatGPT authentication and tailor permissions for workspace roles to match organizational policies and auditing.

Test Execution and Command Runner

Codex can run tests and shell commands inside an isolated environment, returning logs, pass rates, and failing traces for developer inspection. It can generate test scaffolding, run unit or integration suites, and iterate until results satisfy acceptance criteria, while keeping execution history attached to the task. This gives engineers a reproducible record of changes and failures, simplifying debugging and root cause analysis. Teams can use these capabilities to validate edits before integrating them into a branch or deploying to staging.

Subscription Access & Usage Controls

Codex is included as part of ChatGPT Plus, Pro, Business, Edu, and Enterprise subscriptions, offering access across individual and organizational accounts. Administrators can provision features for teams, and larger organizations may purchase additional usage credits for heavy automation needs. Documentation outlines authentication methods, model recommendations, and guidance for managing quotas and billing. This makes Codex adoption straightforward for customers who already use ChatGPT, reducing procurement friction while allowing predictable control over usage through centralized account management and reporting.

User ikamensh on GitHub reported that Codex crashed without warning, producing unreadable stack output and halting work. They described spontaneous failure after hours of normal use, expecting either recovery or a clear error message. The report criticized retry logic and lack of user-facing diagnostics, which forced manual restarts and lost progress. They asked for clearer status codes and automatic retry to prevent lost work. Username: ikamensh; Platform: GitHub; Thread: 'Codex crashed'.

User abazabaaa on GitHub reported that when using non-Open providers, Codex responded once or twice then froze, interrupting multi-turn interactions. They highlighted inconsistent behavior with third-party model adapters and unreliable session persistence that forced manual restarts. The user asked for better provider integration, clearer fallback handling, and extended retries so external models do not stall developer workflows. Username: abazabaaa; Platform: GitHub; Thread: 'bug: non-open provider stops responding'. report.

User ikamensh on GitHub described Codex hanging mid-task while using o4-mini, noting prolonged CPU spikes and frozen thinking indicators. They said the agent consumed system resources for minutes without progress, required manual termination, and offered no clear recovery path. The post urged improved timeouts, resource limits, and user feedback that explains why tasks stall to prevent wasted compute and disrupted developer iterations. Username: ikamensh; Platform: GitHub; Thread: 'Codex hangs'.

User feelmypain on GitHub said that after asking for code fixes with Gemini, Codex stopped responding and left prompts unanswered. They reported sessions dropped mid-fix and retries returned nothing, blocking iterative debugging. The post requested improved follow-up handling, stronger streaming responses, and clearer error messages when external models fail so developers can continue incremental repairs without restarting work. Username: feelmypain; Platform: GitHub; Thread: 'codex doesn't answer anymore'. more details provided.

User thejosh on Hacker News posted about OpenAI discontinuing Codex API support, warning customers about abrupt migration and business risk. They criticized the lack of clear transition tooling, possible breaking changes, and the burden on teams depending on the Codex API. Commenters echoed frustration about deprecated code models and limited notice. They called for improved communication. Username: thejosh; Platform: Hacker News; Thread: 'OpenAI to discontinue support for the Codex API'.

User botingw on GitHub reported Codex failing to respond for both login via ChatGPT and API use, observing infinite waits and zero logs. They tried debugging with debug flags but found no failure traces and zero token usage, which left them unable to diagnose authentication or runtime problems. The report requested clearer telemetry, diagnostics, and sensible timeouts to avoid indefinite blocking. Username: botingw; Platform: GitHub; Thread: 'codex does not respond'.

User cyruszad on GitHub reported that Codex behaved erratically with long run times, ignored instructions, and quit while attempting system cleanup tasks. They described excessive delays, aborted runs, and inconsistent adherence to user directives that hampered automation goals. The issue requested improved timeout behavior, clearer status messages, and deterministic responses for system commands so tasks can be relied upon in maintenance workflows. Username: cyruszad; Platform: GitHub; Thread: 'Codex acting weird'.

User yannbam on GitHub reported Codex getting stuck in a pooling/reuse loop when spawned via 'codex exec' from inside Codex, causing hung processes and failed commands. They posted logs showing persistent connection reuse that frozen nested sessions. The issue requested connection isolation and clearer networking behavior to stop live sessions freezing during nested executions. Please fix. Username: yannbam; Platform: GitHub; Thread: 'Codex gets stuck in an infinite pooling/reuse connection loop'.

User Diwakarbabudahal1998 on GitHub opened a 'Bug test' issue describing unexpected behavior during basic runs and asked for assistance. They reported unclear outcomes and requested reproducible steps and guidance. The post criticized limited troubleshooting workflows and sought better guidance, diagnostic output, and community support to validate fixes. They asked maintainers to publish reproduction templates, example logs, and expected response timelines for faster triage. Username: Diwakarbabudahal1998; Platform: GitHub; Thread: 'Bug test'.