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This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle What I Built If you've ever paid a tuition fee, a society maintenance bill or a home baker in India, you know how it goes. You pay by UPI, take a screenshot, send it on WhatsApp. Done. Now think about the person on the other end. A tuition teacher with 40 students gets 40 screenshots a month, at random times, buried in the rest of her WhatsApp. At some point she sits down with her...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle What I Built InvoiceFlow turns a folder of receipts, invoices, and PDFs into a clean CSV your accountant can actually use — 100% locally, with zero cloud API costs, zero token bills, and zero data leaving your laptop. It is built for the freelancer who keeps a shoebox of receipts, the Etsy seller who loses track of material spend, and the consultant whose accountant emails every Ma...

Introduction: The Hard Truth About IoT Ingestion for Telematics Building a reliable IoT ingestion server for telematics data isn’t about handling the first byte of data—it’s about surviving everything that comes after. In my experience with a Python-based pipeline ingesting TCP sensor data from heavy equipment, the real challenges emerged far beyond initial reception. The pipeline—Python → local disk spool → RabbitMQ → PostgreSQL—looked straightforward on paper. Reality, however, demanded a ...

If you run a one-person consultancy, late invoices cost you twice: once in cash flow, and again in the 20 awkward minutes it takes to write a reminder that's firm but doesn't burn the relationship. This tutorial builds a Claude Code skill that does the awkward part: it reads a plain-text invoice list, works out who is overdue, and drafts the right reminder for how late each one is. You still press send. You need Claude Code installed ( https://code.claude.com/docs/en/setup ). 1....

Your customer taps “Place order.” The request crosses your app, an API gateway, a native backend, a payment service and a database. Your operations team needs to see that path in the same tracing system it uses for the rest of the company. Neither the client app nor a compiled Java server should disappear from that picture. What is Codename One? Codename One is an open-source framework for building native iOS, Android, desktop, and web apps from a single Java or Kotlin codebase. Learn more ...

TL;DR: RAG metrics fall into three categories. Retrieval metrics (hit rate, recall@k, MRR, nDCG) tell you whether the system retrieves the right chunks. Generation metrics (faithfulness, answer relevancy, correctness) tell you whether the LLM used them well. Operational metrics (cost, latency, storage) tell you if you can afford to run it. This guide explains each metric with an example and tells you which ones to focus on for your setup. There’s no shortage of RAG metrics. Libraries expose ...

I recently built MoneyMov , a free personal finance tracker to help people understand where their money is going. The idea was simple: Know where your money moves. Instead of building another complicated finance application, I wanted to create something simple enough for everyday use. What Is MoneyMov? MoneyMov is a personal finance tracker where users can manage their: 💰 Income 💸 Expenses 📊 Spending categories 📈 Investments 🤝 Committees / Bachat 💵 ...

Blazor is a web UI framework from Microsoft that allows developers to build interactive web applications using C#, .NET, and Razor components. A Blazor component is a reusable part of a user interface that can contain HTML markup, C# logic, data binding, event handlers, and conditional rendering. Let's understand this with a simple example of a product details component. <h3>Product Details</h3> <div class="card shadow-sm p-3"> <h5>@productName</h5...

Type a new { } in C# and you create an object with no type you can name. var row = new { Name = customer.Name, Total = customer.Total }; gives you a row you can read .Name and .Total off, pass to LINQ, and compare for equality — but try to write its type and you cannot, because there is no keyword for it. That absence is a source-language illusion, exactly like ?. having no IL opcode. In the compiled assembly the anonymous type is a perfectly ordinary class. The compiler just synthes...

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Article URL: https://www.theguardian.com/technology/2019/feb/14/elon-musk-backed-ai-writes-convincing-news-fiction Comments URL: https://news.ycombinator.com/item?id=50075359 Points: 2 # Comments: 1

Article URL: https://www.theatlantic.com/ideas/2026/10/ai-programming-big-tech-regulations/688960/ Comments URL: https://news.ycombinator.com/item?id=50075448 Points: 3 # Comments: 0

Article URL: https://www.amazon.science/blog/can-we-change-an-ai-models-architecture-without-retraining-it-from-scratch Comments URL: https://news.ycombinator.com/item?id=50075655 Points: 1 # Comments: 0

Article URL: https://www.zdnet.com/innovation/linus-torvalds-uses-ai-to-write-linux-kernel-patch/ Comments URL: https://news.ycombinator.com/item?id=50075926 Points: 5 # Comments: 3

Article URL: https://www.youtube.com/watch?v=A0fECnj5sas Comments URL: https://news.ycombinator.com/item?id=50075942 Points: 1 # Comments: 0

Article URL: https://twitter.com/neal_k_patel/status/2109978626124898587 Comments URL: https://news.ycombinator.com/item?id=50076101 Points: 1 # Comments: 0

Article URL: https://abcnews.com/Business/wireStory/kroger-lay-off-3000-corporate-employees-3-years-137228598 Comments URL: https://news.ycombinator.com/item?id=50076136 Points: 6 # Comments: 1

Article URL: https://blog.thanethomson.com/2026/10/13/zen-and-the-art-of-ai-assisted-development/ Comments URL: https://news.ycombinator.com/item?id=50076177 Points: 2 # Comments: 0

Article URL: https://www.lawcommentary.com/articles/character-ai-bankruptcy-disney-bid-platform-shutdown Comments URL: https://news.ycombinator.com/item?id=50076225 Points: 2 # Comments: 1

I've used SSH tools for years and didn't really plan on building yet another SSH client, but I ended up building one the way I wanted. Hatoba is a desktop SSH client for Windows, Linux and macOS. It's written in Rust with Tauri 2 and MIT licensed. Each terminal has an AI assistant panel next to it. You describe the problem, and it reads the terminal screen, runs commands, types into the shell, and reads, edits and searches files on the host to find the cause and fix it. You can approve every com...

LLM routers can optimize for different factors like price, latency, quality, etc. Enterprises tend to have prepaid AI credits, minimum-spend agreements, cloud commitments, or commercial ceilings across OpenAI, Anthropic, AWS, Azure, and other providers. We’ll call these “AI commits”. This project is designed to consider the state of an enterprises’ current AI commits and use it to inform LLM routing decisions alongside other common variables (price, performance, etc.). This is an early PoC buil...

Article URL: https://www.youtube.com/watch?v=qcWOvPLFXgg Comments URL: https://news.ycombinator.com/item?id=50076605 Points: 4 # Comments: 0

Article URL: https://www.infoworld.com/article/4233357/ai-distrust-is-githubs-opportunity.html Comments URL: https://news.ycombinator.com/item?id=50076691 Points: 3 # Comments: 0

Article URL: https://sakana.ai/ Comments URL: https://news.ycombinator.com/item?id=50076712 Points: 3 # Comments: 0

Just as title says, in the world of ai accelerated code production, when you're in charge of a repo or project, how do you usually look at code from proposed changes ? I'm interested to find what your workflows look like these days. Comments URL: https://news.ycombinator.com/item?id=50076985 Points: 2 # Comments: 3

Article URL: https://robotpaidmoose.com/ Comments URL: https://news.ycombinator.com/item?id=50077204 Points: 3 # Comments: 1

Article URL: https://corextrader.com Comments URL: https://news.ycombinator.com/item?id=50077221 Points: 2 # Comments: 0

Article URL: https://restofworld.org/2026/uae-mandates-k12-ai-education-schools/ Comments URL: https://news.ycombinator.com/item?id=50077344 Points: 1 # Comments: 0

Existing benchmarks measure solve rate and token output/cost, but don't punish excess code, which makes a codebase harder to work with in the long term. I wanted to measure this since it matters most for long-term projects. Method: it takes the patches that benchmarks already publish (DeepSWE, SWE-bench Verified, SWE-bench Live) and counts "coding units": syntax elements like statements, calls, names and literals. I didn't use lines of code, so cramming code isn't rewarded. Deleted code is subtr...