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Codex builds a working NES Emulator in one hour

Details

External ID
47163897
Source
HN
Company
—
Product
Codex builds a working NES Emulator in one hour
Website domain
github.com
Launched
Feb. 26, 2026
Cohort
—
Upvotes
6
Upvotes percentile
0.28099730458221023
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

Hi folks! I know NES emulators have been implemented countless times, in practically every language imaginable.However, having an LLM fully replicate the spec purely from memory—without referencing existing code—is still a significant challenge. It requires the underlying model to have strong anti-hallucination capabilities and solid long-term planning to keep from going astray. Because of this, building an NES emulator makes for an excellent LLM stress test.Here is how the emulator was built:Data Gathering: I asked Codex to download the necessary developer manuals and test suites. It was strictly prohibited from searching for reference implementations online.Development: I instructed Codex to build the emulator until all test suites passed. This process was mostly hands-free; I only chimed in to encourage it to continue when it paused.First Draft: After just 4-5 prompts, Codex delivered a functional, pure-Python emulator—though it ran at a sluggish 7 FPS.Optimization: Asking Codex to optimize the app completely on its own didn't work this time. Instead, I had it generate a flamegraph, which identified the PPU update as the bottleneck. I then instructed Codex to rewrite the PPU in Cython without breaking the passing tests.Overall, I'm incredibly impressed by Codex. I already knew it was capable of the task, but the speed was astonishing. It finished the project in under an hour, using merely 2% of my weekly Pro quota.While the NES might be a relatively easy system to emulate, I think emulation could serve as a fantastic benchmark for testing future LLMs.

Enrichment

Theme
lightweight and on-device AI runtimes
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
ai-assisted nes emulator development
Manually corrected
False

Could you build this?

Yes Building an emulator for the well-documented NES architecture (6502 CPU and basic PPU/APU) is a classic programming challenge that AI assistants can readily generate.

Discussion

4 comments analyzed.

Concerns raised: Automating performance optimizations to match real hardware benchmarks is difficult, Platform-specific dependencies are a limitation

Feature requests: Linux emulator running on DART to eliminate cross-platform dependencies, Support for more complex emulation projects like PS1 in different languages

Competitors

Other products that read as similar to this one — 163 launches clear the similarity bar, closest 8 shown.

Attention rank: #127 of 164 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 120 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.