The original title is "Using AI as an Engineering Partner: Beyond Autocomplete in Developer Workflows"

Short summary

The article argues there's a growing divide between developers who use AI as autocomplete versus those who engineer with it as a systems partner—integrating models into terminals, CI/CD, and local knowledge graphs. It poses questions about career implications, over-reliance risks, and where to draw the line between AI assistance and AI takeover. The post is more of a discussion prompt than a substantive guide.

• •Distinguishes using AI as autocomplete vs. as an engineering partner in dev workflows
• •Advocates integrating LLMs into terminals, CI/CD, and local knowledge graphs
• •Discussion-oriented post with no concrete implementation details or examples

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