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Epic Games uses AI tools to develop code for Unreal Engine 6

Epic Games confirmed that AI code‑generation tools such as Claude Code and Codex are now being used to write and refactor core components of Unreal Engine 6 and the Unreal Editor for Fortnite (UEFN). Executive Vice President of Development Marcus Wassmer told This Week in Videogames that the tools are “helping across a broad spectrum of development,” and CEO Tim Sweeney has publicly affirmed the…

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Key points

  • Epic Games confirmed AI tools like Claude Code and Codex are used to write code for Unreal Engine 6 and UEFN.
  • AI helped rewrite the D3D12 rendering layer in about one week, a task estimated at three to six weeks for one engineer.
  • Automatic PC stability monitoring and root‑cause analysis generated by AI are reducing Fortnite bugs and patch sizes.

The AI‑assisted work includes a rewrite of the D3D12 rendering layer that took about one week—an effort the team had estimated would require three to six weeks for a single engineer. Other wins cited are the near‑elimination of long‑standing non‑deterministic cooking bugs, faster shader compression that shrinks patch sizes, and automatic monitoring and root‑cause analysis of PC stability issues in Fortnite. Wassmer also described “vibe‑coding,” where engineers guide the AI rather than hand‑write bulk code, allowing larger architectural refactors and more modular engine builds.

When asked about potential backlash from AI‑skeptical developers, Wassmer said Epic is more worried about moving too slowly than about skepticism, arguing that AI‑driven development will soon become ubiquitous because it delivers higher quality software faster.

Full story from thisweekinvideogames.com · by Jamie Hore · via TechmemeOpen source ↗

Epic Games says it is using AI tools to "develop code and features" for Unreal Engine, including core engine components like the D3D12 rendering layer

thisweekinvideogames.com · 29 October 2026

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This text was published by thisweekinvideogames.com and written by Jamie Hore. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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