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The article discusses the development of Claude's C Compiler, an open-source C compiler created by Anthropics. It outlines the project's goals, progress, and plans for future development.

The article discusses a JavaScript library called Zlob, which provides a simple and lightweight way to create basic toast notifications in web applications. Zlob offers customizable options, such as changing the position, duration, and appearance of the toast messages.

The article explores how the COVID-19 pandemic has accelerated the adoption of digital technologies, leading to a surge in remote work, online shopping, and digital entertainment. It examines the potential long-term impact of these changes on consumer behavior, the job market, and the overall economy.

The article discusses the debate in Frisco, Texas over H-1B visas and the growing Indian population in the city. Residents are divided on the issue, with some expressing concerns about the impact on local jobs and culture, while others defend the contributions of the Indian community.

The article discusses how some students at prestigious universities, including Stanford, have been engaged in elaborate financial aid fraud schemes, deceiving the system to obtain unwarranted funds and benefits.

Hi HN — I just open-sourced Hibana and hibana-agent.

Hibana is an Affine MultiParty Session Types (MPST) runtime for Rust.

It targets protocol drift in distributed systems. Instead of maintaining separate hand-written state machines in each component, you define interaction once as a global choreography and project role-local behavior at compile time. At runtime, only valid protocol transitions are executable, so invalid moves such as skipping, reusing, or taking the wrong branch are rejected by the protocol model.

The practical value is that one global source of truth replaces multiple hand-written state machines and removes a class of protocol-drift bugs.

Core repo: https://github.com/hibanaworks/hibana

One concrete example is hibana-agent, which demonstrates the same model on an AI agent workflow: allowed action paths are defined in choreography, and only those transitions are executable at runtime.

Example app: https://github.com/hibanaworks/hibana-agent

FastLog is a lightweight, high-performance logging library for C++ applications that provides a simple and efficient interface for logging messages with different severity levels, and supports various output destinations such as console, file, and custom sinks.

Hi HN,

I’m a 75-year-old former fishmonger from Japan, currently working on compensation claims for victims of the Fukushima nuclear disaster. Witnessing social divisions and bureaucratic limitations firsthand, I realized we need a new way for people to express their will without being “disposable.”

To address this, I designed the Virtual Protest Protocol (VPP) ? an open-source framework for large-scale, 2D avatar-based digital demonstrations.

Key Features:

Beyond Yes/No: Adds an "Observe" option for the silent majority

Economic Sustainability: Funds global activism through U.S. commercial operations and avatar creator royalties

AI Moderation: LLMs maintain civil discourse in real-time

Privacy First: Minimal data retention ? only anonymous attributes, no personal IDs after the event

I shared this with the Open Technology Fund (OTF) and received positive feedback. Now, I’m looking for software engineers, designers, and OSS collaborators to help implement this as a robust project. I am not seeking personal gain; my goal is to leave this infrastructure for the next generation.

Links:

GitHub: https://github.com/voice-of-japan/Virtual-Protest-Protocol/b...

Project Site: https://voice-of-japan.net

Technical Notes:

Scalable 2D Rendering: 3?4 static frames per avatar, looped for movement

Cell-Based Grid System: Manages thousands of avatars efficiently, instantiates new cells as participation grows

Low Barrier to Entry: Accessible on low-spec smartphones and low-bandwidth environments

We are looking for collaborators with expertise in:

Backend/Real-Time Architecture: Node.js, Go, etc.

Frontend/Canvas Rendering: Handling thousands of avatars

AI Moderation / LLM Integration

OSS Governance & Project Management

If you’re interested, have technical advice, or want to join the build, please check the GitHub link and reach out. Your feedback and contribution can help make this infrastructure real and sustainable.

A UK government report obtained through a Freedom of Information request warns of an imminent ecosystem collapse, with significant national security implications, but the full report has been withheld from public view.

The article explores the remarkable St. Gallen Monastery Library, a UNESCO World Heritage Site in Switzerland that houses an extensive collection of medieval manuscripts and serves as a hub for scholarly research and preservation of cultural heritage.

The article reports that the United States is planning to fund far-right political forces in Europe, raising concerns about foreign interference in domestic politics and the potential strengthening of populist, nationalist movements across the continent.

I built an open source desktop AI assistant after getting frustrated with how brittle most tools feel once questions go beyond basic Q and A.

The goal was to explore whether an assistant could reliably handle interview style interactions such as system design discussions, multi step coding problems, and deeper follow up questioning without hiding behavior behind a closed SaaS.

The assistant supports both cloud and local LLMs, uses a bring your own API key model, and is intentionally opinionated so behavior stays predictable under pressure.

Most of the work went into managing context, follow ups, and failure cases rather than optimizing for fast single shot answers.

I used Antigravity heavily during development to iterate quickly, then refined and validated the behavior manually.

Repository https://github.com/evinjohnn/natively-cluely-ai-assistant

Happy to answer questions about design tradeoffs, local versus cloud inference, or what worked and failed while building this.

This article discusses the potential impact of Anthropic's new language model, Claude, which the author believes represents a major inflection point in AI development. It explores how Claude's capabilities could disrupt various industries and lead to significant changes in how we interact with and utilize technology.

I built a "Triple Failover" RAG for Singapore Laws, then rewrote the logic based on your feedback.

Hi everyone!

I’m a student developer. Recently, I created Explore Singapore, a RAG-based search engine that scrapes about 20,000 pages of Singaporean government acts and laws.

I recently posted the MVP and received some tough but essential feedback about hallucinations and query depth. I took that feedback, focused on improvements, and just released Version 2.

Here is how I upgraded the system from a basic RAG to a production-grade one.

The Design & UI I aimed to avoid a dull government website.

Design: Heavily inspired by Apple’s minimalist style.

Tech: Custom frontend interacting with a Python backend.

The V2 Engineering Overhaul

The community challenged me on three main points. Here’s how I addressed them:

1. The "Personality" Fix Issue: I use a "Triple Failover" system with three models as backup. When the main model failed, the backups sounded entirely different.

The Solution: I added Dynamic System Instructions. Now, if the backend switches to Model B, it uses a specific prompt designed for Model B’s features, making it mimic the structure and tone of the primary model. The user never notices the change.

2. The "Deep Search" Fix Issue: A simple semantic search for "Starting a business" misses related laws like "Tax" or "Labor" acts.

The Solution: I implemented Multi-Query Retrieval (MQR). An LLM now intercepts your query. It breaks it down into sub-intents (e.g., “Business Registration,” “Corporate Tax,” “Employment Rules”). It searches for all of them at the same time and combines the results.

Result: Much richer, context-aware answers.

3. The "Hallucination" Fix Issue: Garbage In, Garbage Out. If FAISS retrieves a bad document, the LLM produces inaccurate information.

The Solution: I added a Cross-Encoder Re-Ranking layer.

Step 1: FAISS grabs the top 10 results.

Step 2: A specialized Cross-Encoder model evaluates them for relevance.

Step 3: Irrelevant parts are removed before they reach the Chat LLM.

*

The Tech Stack *

Embeddings: BGE-M3 (Running locally)

Vector DB: FAISS

Backend: Python + Custom Triple-Model Failover

Logic: Multi-Query + Re-Ranking (New in V2)

Try it out

I am still learning. I’d love to hear your thoughts on the new logic.

Live Demo: https://adityaprasad-sudo.github.io/Explore-Singapore/

GitHub Repo: https://github.com/adityaprasad-sudo/Explore-Singapore

Feedback, especially on the failover speed, is welcome!

The article discusses the celebration of Di Day, a day dedicated to honoring the contributions of open-source software. It highlights the importance of open-source software and the positive impact it has on technology and society.

The article provides an introduction to RISC-V vector instructions, which enable efficient parallel processing of data. It covers the key features and benefits of RISC-V vector architecture, including improved performance, reduced energy consumption, and enhanced programming flexibility.

I built this because Zig lacked a proper TUI framework. Inspired by Go's Bubble Tea/Lipgloss. Feedback welcome.

I built a small CLI tool that answers "what's using my port?" without the lsof/ss/netstat incantation dance.

The article compares the use of RFCs (Request for Comments) and READMEs in open-source projects, highlighting the strengths and weaknesses of each approach for project documentation and community engagement.

The article discusses the growing popularity of electric vehicles (EVs) and their potential impact on the environment and transportation industry. It highlights the advancements in EV technology, government incentives, and the increasing consumer demand for more sustainable transportation options.