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We Mourn Our Craft

https://nolanlawson.com/2026/02/07/we-mourn-our-craft/
126•ColinWright•1h ago•93 comments

Speed up responses with fast mode

https://code.claude.com/docs/en/fast-mode
24•surprisetalk•1h ago•26 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
121•AlexeyBrin•7h ago•24 comments

U.S. Jobs Disappear at Fastest January Pace Since Great Recession

https://www.forbes.com/sites/mikestunson/2026/02/05/us-jobs-disappear-at-fastest-january-pace-sin...
125•alephnerd•2h ago•81 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
62•vinhnx•5h ago•7 comments

OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
829•klaussilveira•21h ago•249 comments

Al Lowe on model trains, funny deaths and working with Disney

https://spillhistorie.no/2026/02/06/interview-with-sierra-veteran-al-lowe/
55•thelok•3h ago•8 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
110•1vuio0pswjnm7•8h ago•139 comments

Brookhaven Lab's RHIC Concludes 25-Year Run with Final Collisions

https://www.hpcwire.com/off-the-wire/brookhaven-labs-rhic-concludes-25-year-run-with-final-collis...
4•gnufx•41m ago•1 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
1060•xnx•1d ago•611 comments

Reinforcement Learning from Human Feedback

https://rlhfbook.com/
76•onurkanbkrc•6h ago•5 comments

Start all of your commands with a comma (2009)

https://rhodesmill.org/brandon/2009/commands-with-comma/
484•theblazehen•2d ago•175 comments

I Write Games in C (yes, C)

https://jonathanwhiting.com/writing/blog/games_in_c/
10•valyala•2h ago•1 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
210•jesperordrup•12h ago•70 comments

SectorC: A C Compiler in 512 bytes

https://xorvoid.com/sectorc.html
9•valyala•2h ago•0 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
559•nar001•6h ago•257 comments

Coding agents have replaced every framework I used

https://blog.alaindichiappari.dev/p/software-engineering-is-back
223•alainrk•6h ago•343 comments

A Fresh Look at IBM 3270 Information Display System

https://www.rs-online.com/designspark/a-fresh-look-at-ibm-3270-information-display-system
37•rbanffy•4d ago•7 comments

Selection Rather Than Prediction

https://voratiq.com/blog/selection-rather-than-prediction/
8•languid-photic•3d ago•1 comments

History and Timeline of the Proco Rat Pedal (2021)

https://web.archive.org/web/20211030011207/https://thejhsshow.com/articles/history-and-timeline-o...
19•brudgers•5d ago•4 comments

72M Points of Interest

https://tech.marksblogg.com/overture-places-pois.html
29•marklit•5d ago•2 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
114•videotopia•4d ago•31 comments

Where did all the starships go?

https://www.datawrapper.de/blog/science-fiction-decline
76•speckx•4d ago•75 comments

Show HN: I saw this cool navigation reveal, so I made a simple HTML+CSS version

https://github.com/Momciloo/fun-with-clip-path
6•momciloo•2h ago•0 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
273•isitcontent•22h ago•38 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
201•limoce•4d ago•111 comments

Show HN: Kappal – CLI to Run Docker Compose YML on Kubernetes for Local Dev

https://github.com/sandys/kappal
22•sandGorgon•2d ago•11 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
286•dmpetrov•22h ago•154 comments

Making geo joins faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
155•matheusalmeida•2d ago•48 comments

Software factories and the agentic moment

https://factory.strongdm.ai/
71•mellosouls•4h ago•75 comments
Open in hackernews

Show HN: Wall Go – browser remake of a Devil's Plan 2 mini-game

https://schaoss.github.io/wall-go/
33•sychu•8mo ago
Source code: https://github.com/schaoss/wall-go

I binge-watched Netflix’s “Devil’s Plan 2” and got hooked on the “Wall Go” round. A few nights of vibe-coding later, here’s a fully playable browser version:

• 7×7 board, staggered placement (1-2-2-1), 0-to-2-step moves, mandatory wall each turn. • Light / dark mode, mobile-friendly hit boxes • Simple AI (ΔReach + liberty heuristic) – beats random, not a grandmaster yet • Tech stack: Bun + Vite + React + Tailwind v4 + Zustand, deployed on GitHub Pages

Looking for feedback: * is the AI too weak / unfair? * any UI quirks on touch devices? * rule misinterpretations I missed?

Bug reports, feature requests, or PRs very welcome. Hope you enjoy boxing your friends into tiny corners as much as I did while coding this :)

Comments

jfindley•8mo ago
I don't seem to be able to select "hard" AI - is this just not implemented yet? It'd be nice to have a stronger AI, but I do realise that this is a lot easier said than done.
DrJid•8mo ago
Yeah. Medium seems too easy. But I also can’t select hard mode.
spicybright•8mo ago
I've never seen the show so it took a bit to understand, but it's a pretty clever game!

It's kind of like Go, but you only have 4 pieces that you can move around the board to build walls between cells to mark territory.

Good implementation, and props to the show creators.

zdw•8mo ago
Having watched both seasons, if you like board/card/social games I'd recommend it. Although the last game of the second season has significant "Why would you ever do that?" yelling at the screen due to one player.

Sometimes the explanations of instructions go very quickly and aren't totally explained from original Korean language, so I would recommend re-watching them if you want to follow along in detail.

snarf21•8mo ago
Maybe I am missing something but why are the walls colored by each player? At first I thought that I could go through my walls but not my opponents.
zdw•8mo ago
The color doesn't really mean anything other than to indicate which player created them.

Would be interesting if this had a 3 player mode, like in the show.

joeyrideout•8mo ago
This is great! I love The Devil's Plan, I wish I could play all of the games. Some sort of in-person escape room-style experience re-enacting the games would be the best, but I have also thought about making multiplayer video game versions. Wall Go is a perfect candidate! Well done!

The AI seemed easy to me, I know the rules from watching the show and I won by a large margin first try.

Mizza•8mo ago
I can see this being addictive! Would like a harder AI, though, it's not enough of a challenge.

What's the optimal strategy? I tried a few just for fun and found I got the highest score by taking all the corners to start, but I don't think it's a strategy which would work well against a better AI.

Looks like this is the AI's strategy: https://github.com/schaoss/wall-go/blob/6d5af58ffe9f4ce8e648... which is the opposite of mine. But I get more points!

pjmlp•8mo ago
Looks very cool and quite addictive as well, congrats.
sychu•8mo ago
Thanks for all the kind words and feedback! I’m the developer behind this project.

I totally agree — the current AI is still quite weak (even the “hard” mode isn’t available yet ). Right now it’s using a simple minimax + heuristic evaluation, but I’m actively working on a stronger version. If you’re curious about how it works or want to contribute ideas (or code!), feel free to check out the repo here: https://github.com/schaoss/wall-go

Also glad to hear some of you tried different strategies! I’ve seen players go for center control, corner traps, or aggressive sealing. It’s fascinating how this seemingly simple game offers so many tactical options.

Coming soon: • Better AI • 3/4 - player mode (yes, just like in the show!) • Maybe even online multiplayer, maybe

Thanks again for the encouragement — I didn’t expect this side project to gain traction, but it’s been a joy to build and share. Let me know what features you’d love to see next!

quuxplusone•8mo ago
Today the "Hard" AI is ungrayed; but it seems significantly less intelligent than yesterday's "Medium" AI. The "Hard" AI likes to wall itself into 1x1 boxes almost regardless of the human's moves.
sychu•8mo ago
Hello HN, The AI just received a major logic upgrade — better evaluation function, tighter move selection. Still work-in-progress, but it’s a lot smarter than before. Try the latest build and let me know how it feels!