<ul><li>AI coding is currently in the cost-cutting phase where AI-generated code is being used rapidly, but issues like bugs, unreadable code, and lack of memory by the AI are emerging.</li><li>Future of AI coding will require new debugging tools designed for AI code, clarity on authorship of content, revamped cybersecurity measures, emphasis on interface design, and increased infrastructure demand for compute power.</li><li>The role of engineers is evolving to orchestrating systems, auditing AI-made logic, and designing unique experiences rather than writing every line of code themselves.</li><li>This shift in engineering signifies the need for better understanding tools for AI, improved collaboration systems with AI, and a balance between human intervention and AI automation.</li></ul>

This Is How Engineering Ends — Not with a Bang, but a Prompt

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