AI can build the product. Someone still has to decide.
I'm not here to tell you to stop using Cursor, Claude Code, or Codex — they're remarkably
capable. The challenge is knowing when the AI-generated solution is good enough, when it
needs work, and when a technical decision creates real business risk.
What the tools do well
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Build features, APIs, and database structures
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Integrate services, fix bugs, and generate tests
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Move you far faster than a traditional dev process
What they don't know
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Which shortcuts become expensive problems in six months
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Which decisions introduce unnecessary security risk
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What an enterprise customer, auditor, or investor expects
You may not need a full engineering organization, a full-time CTO, or a full-time CISO.
But you do need access to someone who can look at the product, infrastructure, security,
compliance, and business together — and knows when something should be redesigned,
secured, documented, or left exactly as it is. Experience is knowing the difference.