How are organizations adopting AI in engineering? My company is pushing full automation via AI agents (MD-driven) for coding, testing, deployment, etc., minimizing code reviews and expecting 20x productivity. Even frontend devs are asked to handle backend without proper knowledge. Is this realistic, or are others using AI more as a support tool while maintaining best practices?

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