AICHE +

I

Iterm2 Integration

The short answer: open iTerm2, click into the command prompt, press ⌃+⌥+R, speak your shell command or script for 30-90 seconds, and AICHE inserts the text ready for execution.

iTerm2 users run complex commands and scripts, but typing long pipelines with multiple filters takes 8+ minutes. Voice captures command intent faster than keyboard mechanics.

1. Open iTerm2.
2. Click into the command prompt or open a new tab.
3. Press your AICHE hotkey to start recording.
4. Speak your complete command or script (example: "Create a shell script to automate deployment. First step: pull latest changes from git main branch with rebase. Second step: install dependencies using npm ci for clean install. Third step: run TypeScript compiler and ESLint to catch errors before deployment. Fourth step: build production bundle with environment variables. Fifth step: run database migrations. Sixth step: deploy to AWS using CLI with zero downtime blue-green deployment. Include error handling that rolls back on failure and sends Slack notifications for each step").
5. Press the hotkey again-AICHE transcribes and inserts the text.
6. Convert the spoken requirements into actual shell commands using proper syntax.

Heads-up: iTerm2's split panes work great with voice dictation. Dictate your command in one pane while monitoring logs or documentation in another pane without switching windows.

The pro-tip: use iTerm2's command history search (Cmd+Shift+H) after dictating to find similar commands you've run before. Combine your spoken intent with historical commands for faster script assembly.

Result: deployment scripts with error handling, multi-step data processing pipelines, and complex command chains that took 15 minutes to type now take 3 minutes to dictate as requirements, and iTerm2's features help translate intent to working commands.

Do this now: open iTerm2, press your hotkey, and dictate one multi-step automation task you've been postponing because scripting it properly felt tedious. Speak the steps naturally and build the script from your transcript.