Will AI replace coding in schools? Or is programming more important than ever?

In this episode of At the Chalkface, Craig and Dave dive headfirst into one of the biggest debates in computer science education right now: with AI and “vibe coding” exploding in popularity, do we still need to teach students how to code?

From the latest curriculum and assessment review to the growing influence of generative AI tools, it’s easy to see why some are questioning the future of programming in the classroom. If AI can generate working code in seconds, why are students still wrestling with loops, conditions and syntax errors?

Craig and Dave unpack why that thinking misses the point entirely.

This conversation goes far beyond writing code. It’s about what students actually learn through programming: resilience, problem solving, creativity, and the ability to debug messy, unpredictable outcomes. Whether it’s tackling a stubborn bug or building a solution from scratch, coding remains one of the most powerful ways to develop computational thinking skills that AI simply can’t replace.

They also explore the risks of over-relying on AI in education and industry, including the loss of junior developer pathways and the deeper issue of accountability when AI-generated systems fail.

Plus, Dave introduces a bold idea for the future of assessment: Code AI – a new framework for rethinking NEA that embraces AI rather than fighting it.

If you teach computer science, work in education, or just care about the future of tech skills, this one is a must-watch.

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