Dev Tools · 2h ago
Lessons from building an AI-native app: speed vs. trust
An engineering veteran built a procurement tool solo in four months using AI, learning that code generation is easy but understanding the output is hard. He found Claude more reliable than Gemini for fixing unit tests, and advocates multi-model validation. The key insight: treat AI like a fast, literal engineer you must manage, not a faster keyboard.
Meridian48 take
The piece is a useful real-world account, but its lessons about AI reliability are already well-known; the real value is in the practical workflow tips for managing AI-generated code.
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Lesson 0 - Learning to build with AI: where I learned not to trust it →
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