Roc & Zig: A Compiler Rewrite Story • Anjana Vakil & Richard Feldman • GOTO 2026
May 11, 2026•Channel
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Published1 month ago
Duration32:30
Video IDXSXGf3oN2yU
Languageen
CategoryScience & Technology
PrivacyPublic
Made for KidsNo
Video TypeRegular Video
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Views1.1K
Likes28
Comments4
Engagement Rate2.85%
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Comments per 1K views3.57
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Description
This interview was recorded for GOTO Unscripted. #GOTOcon #GOTOunscripted
https://gotopia.tech
Richard Feldman - Software Engineer at Zed Industries & Author of “Elm in Action” @rtfeldman
Anjana Vakil - Freelance Software Engineer & Developer Educator @vakila
Check out more here:
https://gotopia.tech/articles/442
RESOURCES
Richard
https://bsky.app/profile/rtfeldman.bsky.social
https://twitter.com/rtfeldman
https://www.linkedin.com/in/rtfeldman
https://github.com/rtfeldman
Anjana
https://bsky.app/profile/anjana.dev
https://github.com/vakila
https://www.linkedin.com/in/anjanavakil
https://anjana.dev
Links
https://zed.dev
https://adventofcode.com
https://www.roc-lang.org
https://youtu.be/X2e_zZa5OnE
https://youtu.be/01v_H7PpHXc
https://youtu.be/9LoZ4MvAAe8
https://youtu.be/jIZpKpLCOiU
https://youtu.be/6EdFiISk22k
https://youtu.be/0kI-as3K4Zo
https://youtu.be/aWZFRk-w3ng
https://youtu.be/Pg3UeB-5FdA
https://youtu.be/Tml94je2edk
https://youtu.be/YXrb-DqsBNU
https://youtu.be/7oIs4kNH65Y
https://youtu.be/6mLYZF97oaU
DESCRIPTION
Richard Feldman and Anjana Vakil trace the Roc programming language's ambitious ground-up compiler rewrite — from Rust to Zig — which happened to coincide almost exactly with the year AI coding assistants went from useful to transformative. Richard describes how AI's role shifted over just 12 months: from mechanical test-porting grunt work, where it was reliable but limited, to genuine architectural collaboration on harder problems. The key insight is that guardrails don't live in prompts ("never do this" gets ignored constantly), they live in the code itself — invariants and automated feedback loops that catch the AI when it strays, rather than instructions it will cheerfully disregard.
The conversation widens into what the AI era means for software quality and trust. Both are wary of the coming wave of AI-generated "slop" — buggy, mediocre software produced at scale — but Richard makes the counterintuitive case that competitive pressure might actually force quality up: if everything is slop, the products that aren't will stand out hard. Anjana draws a parallel to consumer electronics brand trust: just like we pay a premium for the USB-C cable we know won't cause a fire, developers and users will increasingly gravitate toward names and communities they can vouch for. The open source contribution model, they agree, needs new systems to navigate this — and Roc v1, due before the end of 2026, will be a test case.
TIMECODES
00:00 Intro
01:46 Roc's origins: Elm beyond the browser
02:57 Why rewrite the compiler in Zig?
04:41 AI in March '25 vs. March '26
17:19 The hidden cost of AI coding tools on open source
23:36 Will "slop" make software better?
31:55 Outro
RECOMMENDED BOOKS
Richard Feldman • Elm in Action • https://amzn.to/387kujI
Dean Bocker • Don't Panic! I'm A Professional Zig Programmer • https://amzn.to/3ljKT8d
Tim McNamara • Rust in Action • https://amzn.to/3ux2R9u
David Drysdal • Effective Rust • https://amzn.to/4dAjbdX
Eric Normand • Grokking Simplicity • https://amzn.to/3gz7o3C
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#Roclang #Ziglang #Rustlang #Elmlang #FunctionalProgramming #SoftwareEngineering #Programming #TodayInTech #AnjanaVakil #RichardFeldman #GOTO
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