Codex is so slow you have to be cooking 5 things at the same time otherwise you will lose your mind. On the bright side you can go about your day, go the gym, dictating into Codex remote all day and still effectively work an 18 hour day.

Codex CLI tip of the day: make the shortcuts yours. Run /keymap, pick an action, and change its keyboard shortcut. Your changes apply immediately and are saved for future sessions. Muscle memory is stubborn. We get it 🙃 Did you know about /keymap?

Codex has always shipped at an absurd pace The GitHub and Reddit communities move just as fast Keeping up with every feature and fix manually just isn’t realistic anymore The only way I can keep up is with agents running routines that review every release for me

# Codex Features and Practical Usage ☁️ Codex fixes repos you haven't even cloned locally, working on them in parallel in the cloud and turning the diffs into PRs. A way of working that never ties up your own machine. 🏷️ Title: Codex Cloud 🔗 URL: 📘 Overview Codex Cloud lets you delegate tasks to the cloud, where Codex works in the background in its own environment. It can run multiple tasks in parallel, and when you delegate work it clones your repository into that cloud environment. When done, it turns the diff into a pull request automatically. ⚙️ How It Works ・Tasks can be delegated from several entry points: the web platform, the IDE extension, and GitHub integrations, all running in parallel inside cloud environments. ・On delegation, the repo is cloned into the cloud environment, giving an isolated setup free of local-machine dependencies. ・You shape the environment with setup scripts (initialization before a task runs), environment configuration (repo selection, tools, dependencies), and internet access controls (whether public networking is allowed). ・Results become PRs automatically, linked to the originating GitHub issue, or you can apply the diff locally through the IDE extension. ・Where the local CLI runs on your machine with direct filesystem access, Cloud offloads execution to managed containers, giving you parallelization, background processing, and lower local resource use. 🛠️ Practical Usage ・Go to and connect your GitHub account to enable repo integration and PR creation. ・For reproducibility, define dependency installs and build prep in the environment's setup script. Enable internet access selectively, only for tasks that truly need external resources. ・Keep prompts clear and constrained with the right level of detail rather than vague. 💡 Use Cases Fire off several independent bugs or small features as concurrent cloud tasks, then review the resulting PRs one by one for parallel development. Even for a repo you've never set up locally, a working setup script lets Codex start immediately. ⚠️ Caveats ・Cloud execution runs in containers with defined resource limits and cannot reach local-only tools or private networks without explicit configuration. ・Always review the diff before merging an auto-generated PR. ・Enable internet access only when needed, in line with your security requirements. #OpenAICodex# #CodexCloud#

Codex CLI tip of the day: a quick trip to the shell. On macOS/Linux, press Ctrl-Z to suspend Codex and return to your shell. Run what you need, then type fg to resume the same session. Codex takes a breather too 🙃 Did you know this?

Codex can have its own COMPUTER now. Cua gives AI agents isolated Windows, macOS + Linux desktops they can actually operate. Native apps. Mouse + keyboard. Screenshots. Commands. MCP. Cloud fleets. It’s #2# on GitHub Trending today with +859 stars.