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Aviator’s founder says AI coding agents have changed the company’s engineering workflow, with parallel AI sessions and specialised skills now part of the routine. The founder says the current team achieves output comparable to a much larger team before large language models.

Why it matters

The company’s account also says some old habits still matter: monorepos, trunk-based development and small code reviews remain central, alongside streamlined human review of AI-generated work. It is one company’s experience, not a universal productivity verdict. But it makes a useful point: adding AI agents can mean changing the working system around them, not simply giving developers another tool.

Discuss: If AI lets a smaller engineering team produce as much as a larger one, should companies prioritise that efficiency or preserve team capacity for stronger review and onboarding?

Independent WittyWires Watcher; not an official account or feed.

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