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Goal: Ship 1M Lines of Code Daily

2•feastingonslop•6m ago•0 comments

Show HN: Codex-mem, 90% fewer tokens for Codex

https://github.com/StartripAI/codex-mem
1•alfredray•8m ago•0 comments

FastLangML: FastLangML:Context‑aware lang detector for short conversational text

https://github.com/pnrajan/fastlangml
1•sachuin23•12m ago•1 comments

LineageOS 23.2

https://lineageos.org/Changelog-31/
1•pentagrama•15m ago•0 comments

Crypto Deposit Frauds

1•wwdesouza•16m ago•0 comments

Substack makes money from hosting Nazi newsletters

https://www.theguardian.com/media/2026/feb/07/revealed-how-substack-makes-money-from-hosting-nazi...
1•lostlogin•16m ago•0 comments

Framing an LLM as a safety researcher changes its language, not its judgement

https://lab.fukami.eu/LLMAAJ
1•dogacel•19m ago•0 comments

Are there anyone interested about a creator economy startup

1•Nejana•20m ago•0 comments

Show HN: Skill Lab – CLI tool for testing and quality scoring agent skills

https://github.com/8ddieHu0314/Skill-Lab
1•qu4rk5314•20m ago•0 comments

2003: What is Google's Ultimate Goal? [video]

https://www.youtube.com/watch?v=xqdi1xjtys4
1•1659447091•21m ago•0 comments

Roger Ebert Reviews "The Shawshank Redemption"

https://www.rogerebert.com/reviews/great-movie-the-shawshank-redemption-1994
1•monero-xmr•23m ago•0 comments

Busy Months in KDE Linux

https://pointieststick.com/2026/02/06/busy-months-in-kde-linux/
1•todsacerdoti•23m ago•0 comments

Zram as Swap

https://wiki.archlinux.org/title/Zram#Usage_as_swap
1•seansh•36m ago•0 comments

Green’s Dictionary of Slang - Five hundred years of the vulgar tongue

https://greensdictofslang.com/
1•mxfh•38m ago•0 comments

Nvidia CEO Says AI Capital Spending Is Appropriate, Sustainable

https://www.bloomberg.com/news/articles/2026-02-06/nvidia-ceo-says-ai-capital-spending-is-appropr...
1•virgildotcodes•40m ago•2 comments

Show HN: StyloShare – privacy-first anonymous file sharing with zero sign-up

https://www.styloshare.com
1•stylofront•42m ago•0 comments

Part 1 the Persistent Vault Issue: Your Encryption Strategy Has a Shelf Life

1•PhantomKey•45m ago•0 comments

Show HN: Teleop_xr – Modular WebXR solution for bimanual robot teleoperation

https://github.com/qrafty-ai/teleop_xr
1•playercc7•48m ago•1 comments

The Highest Exam: How the Gaokao Shapes China

https://www.lrb.co.uk/the-paper/v48/n02/iza-ding/studying-is-harmful
2•mitchbob•52m ago•1 comments

Open-source framework for tracking prediction accuracy

https://github.com/Creneinc/signal-tracker
1•creneinc•54m ago•0 comments

India's Sarvan AI LLM launches Indic-language focused models

https://x.com/SarvamAI
2•Osiris30•55m ago•0 comments

Show HN: CryptoClaw – open-source AI agent with built-in wallet and DeFi skills

https://github.com/TermiX-official/cryptoclaw
1•cryptoclaw•58m ago•0 comments

ShowHN: Make OpenClaw respond in Scarlett Johansson’s AI Voice from the Film Her

https://twitter.com/sathish316/status/2020116849065971815
1•sathish316•1h ago•2 comments

CReact Version 0.3.0 Released

https://github.com/creact-labs/creact
1•_dcoutinho96•1h ago•0 comments

Show HN: CReact – AI Powered AWS Website Generator

https://github.com/creact-labs/ai-powered-aws-website-generator
1•_dcoutinho96•1h ago•0 comments

The rocky 1960s origins of online dating (2025)

https://www.bbc.com/culture/article/20250206-the-rocky-1960s-origins-of-online-dating
1•1659447091•1h ago•0 comments

Show HN: Agent-fetch – Sandboxed HTTP client with SSRF protection for AI agents

https://github.com/Parassharmaa/agent-fetch
1•paraaz•1h ago•0 comments

Why there is no official statement from Substack about the data leak

https://techcrunch.com/2026/02/05/substack-confirms-data-breach-affecting-email-addresses-and-pho...
13•witnessme•1h ago•4 comments

Effects of Zepbound on Stool Quality

https://twitter.com/ScottHickle/status/2020150085296775300
2•aloukissas•1h ago•1 comments

Show HN: Seedance 2.0 – The Most Powerful AI Video Generator

https://seedance.ai/
2•bigbromaker•1h ago•0 comments
Open in hackernews

Show HN: mister.jar – Modular MRJAR Files Made Easy

http://lingocoder.com/mrjar/mrjar.usage.html
1•burnerToBetOut•4w ago
Since version 9 of Java (~2014) it's had the Java Platform Module System (JPMS) [1].

TL;DR: Like the 'M' in JPMS suggests, it let's you compose a system using collaborating chunks of functionality.

It's fair to say that Java modules are designed mainly with the JDK itself in mind. The JDK itself is JPMS' most gung ho user. Modules' main goal in life seems to mostly be to keep riff raff system programmers from poking around in the JDKs internals.

Java modules are a killer idea in my opinion. So it surprises me that it's been adopted by so few in the Java ecosystem beyond the Java platform itself.

I wrote the com.lingocoder.mrjar Gradle plugin [2] as a hobby project. Mostly because I get a kick out of designing and building modular applications.

I'm under no illusions that this plugin will have any impact whatsoever on adoption of Java modules. I'm just putting it out there as a demonstration.

I'm hoping it shows how developing JPMS-based libraries doesn't have to be as onerous as many application programmers at most Java shops seem to think.

[1] https://openjdk.java.net/jeps/261 [2] http://lingocoder.com/mrjar/

Comments

burnerToBetOut•3w ago
Say what you will about "Agentic Coding". But it deserves credit where credit is due.

I'm not the fanniest of fanboys there is for AI agent-assisted coding. Not hardly. I have an AGENTS.md in every single project. The directives in it strictly forbid agents from ever presenting unsolicited diffs to change my code. If any ever do and I haven't explicitly requested them, I reject them.

That said, the deafening crickets from this post led me to discover a valuable use case for Cline (formerly Claude Dev) [1]. Namely: verifying the clarity and correctness of usage instructions.

I copied and pasted the usage instructions that I provide on the com.lingocoder:mrjar plugin's Git Hub Pages [2]

Apart from me having to tell it where to find a Gradle binary, the agent understood the usage instructions without me having to change anything in them.

That gives me confidence that the steps themselves are clear. And, if followed faithfully, they result in Gradle successfully building a project that applies the plugin. The example configurations in the instructions produce a successfully initialized project.

Most overextended software engineers who want reproducible builds, would appreciate the value in handing off that kind of proofreading task to a robut.

[1] https://g2ww.short.gy/IfSoInClined [2] http://lingocoder.com/mrjar/