Platform / Field guide

Product CLI & scriptable workflows

Let customers and their agents operate the product from a terminal.

One command, two kinds of output

SAME PRODUCT OPERATION · TERMINAL ENTRYcustomer-cli$ product reports get rpt_42Report rpt_42 · ReadyNorthstar / Growth workspaceOpen report in browser ↗Readable result + target account

A readable command result shows the completed task and the active account.

01 / CONTEXT

Why it matters

A CLI gives the product an ergonomic, scriptable front door. It can expose the same customer operations as the API with names, help text, and output that people and agents can use in a terminal. The API contract can generate a typed client and a command inventory; good command design still needs human review.

A useful CLI does more than wrap endpoints one for one. It handles login, account selection, long-running work, helpful errors, and non-interactive execution. Keep command coverage traceable to the API contract so a new product capability does not become UI-only by accident.

02 / DESIGN

Decisions to make

  • Choose a stable command and flag vocabulary that follows customer tasks rather than raw URLs.
  • Decide how local login, automation credentials, and tenant or project selection work.
  • Choose readable output for people and structured JSON output for scripts and agents.
  • Set rules for prompts, confirmations, and non-interactive execution of consequential actions.
  • Decide how the CLI handles pagination, uploads, retries, and asynchronous jobs.
  • Choose how API operation changes update generated clients, command coverage, and help text.
03 / IMPLEMENTATION

Build checklist

  • Generate or maintain a typed API client from the published contract and use it in the CLI.
  • Map each customer-operable API workflow to a discoverable command or document an intentional exception.
  • Support explicit account selection and show the active target before a consequential action.
  • Offer JSON output, stable exit codes, and errors with a next step for automation.
  • Make scripts non-interactive when inputs are complete, while requiring explicit confirmation for risky changes.
  • Run representative commands against the same API behavior users reach through the UI.
04 / WATCH FOR

Common mistakes

  • Assuming generated endpoint names automatically make an understandable CLI.
  • Printing only human-formatted tables that scripts must scrape.
  • Silently running a command against the wrong organization or environment.
05 / GO DEEPER

Tools & references

3 starting points to compare or study. Check fit, maintenance, terms and current capabilities before choosing one.

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