Making Video Games in 2025 with Celeste's Noel Berry
In this episode of Hanselminutes, Scott sits down with Noel Berry, co-creator of Celeste, to explore his philosophy and process for making games in 2025, without relying on big commercial engines. Noel shares why he prefers building lightweight, custom tools over heavyweight platforms like Unity or Unreal, how modern C#, SDL3, and open‑source libraries empower small teams, and the creative freedom that comes from owning every layer of the stack. From crafting bespoke level editors to ensuring long‑term portability, Noel offers a candid look at the technical choices and personal values shaping his latest projects, including City of None.https://noelberry.ca/posts/making_games_in_2025/
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Hanselminutes Podcast by Scott Hanselman
The Hanselminutes podcast
Fresh Tech Talk from Fresh Faces
[Image: That's good Mojo - Creating a Programming Language for an AI world with Chris Lattner]
That's good Mojo - Creating a Programming Language for an AI world with Chris Lattner
Show #1037 Feb 19 2026
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What does it take to design a programming language from scratch when the target isn’t just CPUs, but GPUs, accelerators, and the entire AI stack? In this episode, I sit down with legendary language architect Chris Lattner to talk about Mojo — his ambitious attempt to rethink systems programming for the machine learning era.
We trace the arc from LLVM and Clang to Swift and now Mojo, unpacking the lessons Chris has carried forward into this new language. Mojo aims to combine Python’s ergonomics with C-level performance, but the real story is deeper: memory ownership, heterogeneous compute, compile-time metaprogramming, and giving developers precise control over how AI workloads hit silicon.
Chris shares the motivation behind Modular, why today’s AI infrastructure demands new abstractions, and how Mojo fits into a rapidly evolving ecosystem of ML frameworks and hardware backends. We also dig into developer experience, safety vs performance tradeoffs, and what it means to build a language that spans research notebooks all the way down to kernel-level execution.
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