From prompt to production: what an agentic terminal should do in 2026

Disclosure: I'm the founder of Mel, the tool described at the end.

AI in the terminal used to mean autocomplete for commands. Now you can describe an app and an agent will build it. These seven questions separate a tool that suggests from one that finishes the job.

Writing code is one step. Ask whether the agent also plans the work, runs it, tests it and gets it ready to ship, or whether you are left to glue the pieces together.

For real projects, one agent in one window is slow. Look for a lead agent that plans and hands parts to workers that run side by side and share what they learn.

Some agents are built around one company's models. If you want the best model for each task, or to switch when one gets expensive, check that you can use several, with your own keys.

A good agent investigates: it reads the error, finds the cause, fixes it and runs the tests to prove it.

An agent that edits files and runs commands should let you choose what needs your approval, show you every change, and check its own work after.

Terminal, IDE, a remote server over SSH, your phone when you step away: the work should continue wherever you are.

Several subscriptions add up fast, and team budgets run out mid-month. Look for your-own-key support and one balance that covers every model.

Mel is the agentic terminal that plans, builds, tests and ships your work in one local-first workflow. Build apps, websites, online stores, AI agents and automations just by saying what you want, with every top model and your own keys. Go from prompt to production-ready code, with you in control. Available on Mac, Linux, Windows and VS Code.

Mel is free with your own API key: https://openmel.dev/?utm_source=devto

Which of these seven questions decides it for you?