Tue Aug 05 04:50:00 UTC 2025: Here’s a summary of the text and a rewrite as a news article:

**Summary:**

Generative AI is rapidly changing software development, raising questions about the future of coding. While tools now allow natural language to generate code, experts argue that coding is far from dead. Instead, a hybrid approach is emerging, combining traditional coding with natural language prompting and context engineering. Understanding both prose and code is crucial for future software engineers who will need to collaborate effectively with AI. Computational thinking and problem-solving skills remain essential, and educational institutions are adapting to this shift by integrating computer science into liberal arts programs. The future of software development is a blend of human and AI collaboration, where fluency in both code and language is key.

**News Article:**

**Is Coding Dead? Experts Say AI’s Rise Demands a Hybrid Approach to Software Development**

**[City, Date]** – The rise of generative AI is transforming the world of software development, sparking debate about the future of coding. While tools like Codex and Claude Code are enabling the creation of applications using natural language, experts argue that the rumors of coding’s demise are greatly exaggerated.

“Suggesting that programming is dead sells clicks, but it’s misleading,” stated Dr. Rania Khalaf, Chief AI Officer at WSO2, speaking at a recent coding symposium. “The future is in fact hybrid – a fusion of symbolic, deterministic coding and descriptive, nondeterministic language.”

Khalaf and other industry voices believe that “prompt engineering” – crafting specific instructions for AI tools – is evolving into “context engineering,” requiring a deeper understanding of underlying systems and code. Approaches like DSPy and WSO2’s Natural Programming are already blending deterministic coding with natural language prompts.

The increasing reliance on AI will raise the level of abstraction yet again. According to Khalaf, programs will become an interweaving of code, natural language, and eventually images and audio.

This hybrid approach has implications for education and skill development. While AI can lower the barrier to entry for application development, a lack of understanding about how code works can lead to an “illusion of fluency” and difficulties in troubleshooting and scaling.

“Computational thinking matters more than pure coding ability,” Khalaf emphasized. “The future software engineer will also be an AI engineer. But this role demands a rare blend – fluency in both prose and code.”

To address this, universities are exploring the integration of computer science curricula within liberal arts programs, fostering a generation of developers who can effectively collaborate with AI.

The overall conclusion is clear. The future of software development is not about replacing coders but about empowering them with new tools and skills, creating a hybrid environment where humans and AI work together to build the applications of tomorrow.

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