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.

1. Does it finish 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.

2. Can it split a big task?

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.

3. Which models can it use?

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.

4. Can it find and fix bugs?

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

5. Are you still in control?

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.

6. Does it follow you?

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

7. Who pays, and how much?

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.

Where Mel fits

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.

• A lead agent plans and gives each part to a worker in its own pane: Mel's own agents or the CLI agents you already use (Claude Code, Codex, opencode).
• Every top model: Claude, GPT, Gemini, DeepSeek, Qwen and more, with fallback across providers.
• It investigates and fixes bugs, runs the tests, and shows every change as a diff before you commit.
• Configurable approvals keep you in control of commands and edits.
• A VS Code extension, SSH sessions, and on paid plans the work continues from Telegram when you close your laptop.
• Free with your own API key (provider usage charges apply); Pro is $20 a month with hosted credits that work across every model.

Try it

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

Which of these seven questions decides it for you?