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The article discusses the rise of AI-powered coding assistants like Qwen.ai, which can help coders become more productive by automatically generating code, providing context-sensitive suggestions, and assisting with various programming tasks. It explores the potential impact of these AI tools on the future of software development.

New York is considering legislation that would require 3D printer owners to register their devices and provide information to the government, raising concerns about privacy and freedom of expression.

The article explores the history and purpose of the equal sign (=), delving into its mathematical and linguistic origins, as well as its evolution in computer programming and various fields of study.

The article discusses a new technique that allows researchers to efficiently and precisely edit targeted regions of the human genome using CRISPR-Cas9. This technology holds promise for future therapeutic applications, but also raises ethical concerns around its potential misuse.

The article discusses a new feature in GitHub that allows users to see which AI model was used to contribute to a pull request, providing transparency and accountability around the use of AI in software development.

Hi all, Aram and Eduard here - co-founders of Modelence (https://modelence.com). After spending years on scaling our previous startup’s platform, we built an open-source full-stack TypeScript + MongoDB framework to stop solving the same auth / database / API / cron job implementations every time we created an app, and we didn’t like the idea of using multiple managed platforms for each of these to run our apps either.

(Here’s our prior Show HN post for reference: https://news.ycombinator.com/item?id=44902227)

At the same time, we were excited by the whole AI app builder boom and realized that the real challenge there is the platform rather than the tool itself. Now we’re making Modelence the first full-stack framework that’s built for coding agents and humans alike:

- TypeScript is already great for AI coding because it provides guardrails and catches many errors at build time, so agents can auto-correct

- MongoDB eliminates the schema management problem for agents, which is where they fail the most often otherwise (+ works great with TS/Node.js)

- Built-in auth, database, cron jobs and else that just works together out of the box means agents only focus on your product logic and don’t fail at trying to set these things up (+ less tokens spent on boilerplate).

You can now try the Modelence app builder (based on Claude Agent SDK) by just typing a prompt on our landing page ( https://modelence.com ) - watch a demo video here: https://youtu.be/BPsYvj_nGuE

Then you can check it out locally and continue working in your own IDE, while still using Modelence Cloud as your backend, with a dev cloud environment, and later deploy and run on Modelence Cloud with built-in observability around every operation running in your app.

We’re also going to add a built-in DevOps agent that lives in the same cloud, knows the framework end-to-end, and will use all this observability data to act on errors, alerts, and incidents - closing the loop, because running in production is much harder than just building.

We launched the app builder as a quick start for developers, to demonstrate the framework and Modelence Cloud without having to manually read docs and follow the steps to set up a new app. Our main focus is still the platform itself, since we believe the real challenge in AI coding is the framework and the platform rather than the builder tool itself.

Bunny Database is a new SQL service that aims to provide a reliable and easy-to-use database solution for developers, with a focus on simplicity, scalability, and performance. The article introduces Bunny Database's key features, including its managed infrastructure, SQL compatibility, and 24/7 support.

The article discusses the DIFI project, an open-source initiative that aims to create a decentralized, interoperable finance infrastructure. It highlights the project's goals of enabling seamless cross-blockchain transactions and fostering a more inclusive and transparent financial ecosystem.

Inspired by this Ask HN: https://news.ycombinator.com/item?id=46834977

But I'm going further back in time to see if there is anybody here who still uses slide rules?

Floppinux 2025 is a new operating system that aims to revive the floppy disk by providing a modern, lightweight, and versatile platform for developers and hobbyists. The article discusses the features, capabilities, and potential applications of this innovative operating system.

Hi everyone,

I built a runtime to isolate untrusted code using wasm sandboxes.

Basically, it protects your host system from problems that untrusted code can cause. We’ve had a great discussion about sandboxing in Python lately that elaborates a bit more on the problem [1]. In TypeScript, wasm integration is even more natural thanks to the close proximity between both ecosystems.

The core is built in Rust. On top of that, I use WASI 0.2 via wasmtime and the component model, along with custom SDKs that keep things as idiomatic as possible.

For example, in Python we have a simple decorator:

  from capsule import task

  @task(
      name="analyze_data", 
      compute="MEDIUM",
      ram="512mb",
      allowed_files=["./authorized-folder/"],
      timeout="30s", 
      max_retries=1
  )
  def analyze_data(dataset: list) -> dict:
      """Process data in an isolated, resource-controlled environment."""
      # Your code runs safely in a Wasm sandbox
      return {"processed": len(dataset), "status": "complete"}

  import { task } from "@capsule-run/sdk"

  export const analyze = task({
      name: "analyzeData", 
      compute: "MEDIUM", 
      ram: "512mb",
      allowedFiles: ["./authorized-folder/"],
      timeout: 30000, 
      maxRetries: 1
  }, (dataset: number[]) => {
      return {processed: dataset.length, status: "complete"}
  });

It's still quite early, but I'd love feedback. I’ll be around to answer questions.

GitHub: https://github.com/mavdol/capsule

[1] https://news.ycombinator.com/item?id=46500510

The article discusses the concept of the 'Everdeck', a hypothetical deck of cards that is never exhausted, allowing for endless gameplay. It explores the implications and potential applications of such an infinite deck of cards in various gaming and entertainment contexts.

After reading "During Helene, I Just Wanted a Plain Text Website" on Sparkbox (https://news.ycombinator.com/item?id=46494734) , I built safe-now.live – a text-first emergency info site for USA and Canada. No JavaScript, no images, under 10KB. Pulls live FEMA disasters, NWS alerts, weather, and local resources. This is my first live website ever so looking for critical feedback on the website. Please feel free to look around.

https://safe-now.live

Emerge Career, a YC-backed startup, is seeking a talented founding product designer to join their team and help shape the future of their platform, which aims to revolutionize the career transition experience for job seekers.

The article explores how data brokers can enable violence against public servants by selling sensitive personal information, which can be used to harass or threaten them. It highlights the need for better regulation and oversight to protect the privacy and safety of government officials and other public figures.

https://www.pnas.org/doi/10.1073/pnas.2525498123

The article introduces the Codex app, which allows users to write, test, and run code directly in their browser. Codex is built on OpenAI's Codex model, which can understand and generate code in a variety of programming languages.

The article discusses the growth and evolution of the Anki flashcard software over time, reflecting on its development, user community, and the challenges it has faced in adapting to changing needs and technologies.

The article provides an overview of the personal website of software engineer Miller, showcasing his background, projects, and blog. It aims to give readers a glimpse into the author's professional experience and interests.

Hello HN. I’d like to start by saying that I am a developer who started this research project to challenge myself. I know standard protocols like MCP exist, but I wanted to explore a different path and have some fun creating a communication layer tailored specifically for desktop applications.

The project is designed to handle communication between desktop apps in an agentic manner, so the focus is strictly on this IPC layer (forget about HTTP API calls).

At the heart of RAIL (Remote Agent Invocation Layer) are two fundamental concepts. The names might sound scary, but remember this is a research project:

Memory Logic Injection + Reflection Paradigm shift: The Chat is the Server, and the Apps are the Clients.

Why this approach? The idea was to avoid creating huge wrappers or API endpoints just to call internal methods. Instead, the agent application passes its own instance to the SDK (e.g., RailEngine.Ignite(this)).

Here is the flow that I find fascinating:

-The App passes its instance to the RailEngine library running inside its own process.

-The Chat (Orchestrator) receives the manifest of available methods.The Model decides what to do and sends the command back via Named Pipe.

-The Trigger: The RailEngine inside the App receives the command and uses Reflection on the held instance to directly perform the .Invoke().

Essentially, I am injecting the "Agent Logic" directly into the application memory space via the SDK, allowing the Chat to pull the trigger on local methods remotely.

A note on the Repo: The GitHub repository has become large. The core focus is RailEngine and RailOrchestrator. You will find other connectors (C++, Python) that are frankly "trash code" or incomplete experiments. I forced RTTR in C++ to achieve reflection, but I'm not convinced by it. Please skip those; they aren't relevant to the architectural discussion.

I’d love to focus the discussion on memory-managed languages (like C#/.NET) and ask you:

-Architecture: Does this inverted architecture (Apps "dialing home" via IPC) make sense for local agents compared to the standard Server/API model?

-Performance: Regarding the use of Reflection for every call—would it be worth implementing a mechanism to cache methods as Delegates at startup? Or is the optimization irrelevant considering the latency of the LLM itself?

-Security: Since we are effectively bypassing the API layer, what would be a hypothetical security layer to prevent malicious use? (e.g., a capability manifest signed by the user?)

I would love to hear architectural comparisons and critiques.

A security vulnerability in WhatsApp allows malicious media files to spread through group chats, posing a potential threat to users' devices and data. The bug enables the execution of malicious code on targeted devices, highlighting the importance of maintaining the security and privacy of messaging applications.

The article discusses the current state of AI development, highlighting the challenges and potential risks posed by the rapid advancement of AI technologies. It emphasizes the need for responsible and coordinated efforts to ensure the safe and beneficial deployment of AI systems.

The article discusses how the website Archive.today is reportedly directing a distributed denial-of-service (DDoS) attack against the author's blog, causing significant disruption and accessibility issues.

Please state the location and include REMOTE for remote work, REMOTE (US) or similar if the country is restricted, and ONSITE when remote work is not an option.

Please only post if you personally are part of the hiring company—no recruiting firms or job boards. One post per company. If it isn't a household name, explain what your company does.

Please only post if you are actively filling a position and are committed to replying to applicants.

Commenters: please don't reply to job posts to complain about something. It's off topic here.

Readers: please only email if you are personally interested in the job.

Searchers: try https://dheerajck.github.io/hnwhoishiring/, http://nchelluri.github.io/hnjobs/, https://hnresumetojobs.com, https://hnhired.fly.dev, https://kennytilton.github.io/whoishiring/, https://hnjobs.emilburzo.com, or this (unofficial) Chrome extension: https://chromewebstore.google.com/detail/hn-hiring-pro/mpfal....

Don't miss this other fine thread: Who wants to be hired? https://news.ycombinator.com/item?id=46857487

SpaceX announces that AI research company Anthropic has joined its XAI (Extraterrestrial Artificial Intelligence) program, which aims to develop advanced AI systems capable of operating in space exploration missions.