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Agentic terminals in 2026: seven questions for judging AI coding tools

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AI in the terminal has moved beyond command autocomplete to agents that can build an app from a plain description. The article proposes seven questions for telling apart tools that merely suggest code from those that complete the work. Key criteria include whether an agent plans, runs, tests and prepares a project for shipping, and whether a lead agent can coordinate parallel workers. It also highlights multi-model support with your own API keys, the ability to diagnose and fix bugs with configurable approvals, and continuity of work across terminal, IDE, SSH and mobile. The piece is written by the founder of Mel, an agentic terminal tool, who promotes it as meeting these criteria.

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