Coding Agents Need Engineering Systems, Not Just Prompts, to Be Useful

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A developer essay argues that AI coding agents bring raw speed to software development but lack the engineering structure needed to make that speed reliable. Like a fast factory machine dropped into a disorganised workshop, agents can generate code quickly while producing outputs that are subtly or dangerously wrong. The author contends that vague instructions such as 'do not break anything' are ineffective, and that agents require precise, verifiable work orders with defined inputs, constraints, and verification steps. Critical codebase knowledge — often buried in Slack threads, old tickets, or a single senior developer's memory — must be formalised into structured documents and executable architecture rules. Without tolerances, traceability, and accountability built into the development process, AI agents effectively scale existing bad practices rather than improving software quality.

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