This week I made a mutual-aid app using Sanity and Jev
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This week I made a mutual-aid app using Sanity and Jev

This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I Built Vouch is a small mutual-aid app. Someone types or dictates what they need ("two bags of rice and a dozen eggs for my kids"). The app turns it into a checklist. Neighbors pledge items from that checklist. Whoever buys the items uploads the receipt, and the request closes with a certificate anyone can check. The strange part is that the AI can't write a single sentence. I di...
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What Actually Happens When You Call spark.read? One Line of Python, a Thousand Tasks

TL;DR : spark.read.parquet(path) reads almost nothing. The real work starts at the first action , when Spark turns your DataFrame into four plans, slices your files into tasks, ships those tasks to executors and, depending on what you asked for, shuffles data across the network. This article follows one DataFrame through all of that, in five scenarios: a plain read, a read with filters, a sort, a join, and finally the whole pipeline end to end. ⏱️ 30-minute read. Every scenario comes ...
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The Energy Industry Doesn't Have an AI Problem. It Has a Data Interoperability Problem!!!

The energy industry has spent years asking the wrong question: How do we add AI to energy? A better question is: How do we make the fragmented information systems of global energy capable of communicating with each other? That distinction changes everything. The Hidden Bottleneck Consider a single international energy transaction. Production data may live inside an ERP or MES. Operational telemetry may come from SCADA and IoT systems. Commercial i...
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Adding RAG to an Existing ASP.NET Core App: SQL Server Chunks, Embeddings and Hybrid Ranking

When I add AI to an existing business application, my first concern is not the chat interface. It is whether the assistant can access something the current user cannot. That is the starting point for my RAG ASP.NET Core implementation in SupportAgent.NET, an ASP.NET Core and React customer-support copilot. The internal assistant uses native tool calling to look up permitted customer and order records through normal .NET services. It also retrieves company documents and drafts replies, whic...
OpenAI lawsuit: Microsoft's 'theft of labor' memo in the NYT case
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OpenAI lawsuit: Microsoft's 'theft of labor' memo in the NYT case

In January 2023 a Microsoft director wrote an internal memo calling AI scraping "the largest theft of labor in human history". On September 17 a federal court unsealed the summary-judgment filings in the New York Times' lawsuit against OpenAI and Microsoft, and that line is now public, next to quotes from Satya Nadella, Greg Brockman and ChatGPT's own product lead. If your team trains on data it didn't license, or writes candid memos about it, this OpenAI lawsuit is the one to read. ...
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Scaling a React & Vite Prerendered Toolkit to 24 Live Calculators for Max SEO Impressions

In our previous technical case study, we covered how we initially launched our React and Vite utility site with rich schema markup and pre-rendered static HTML. Building on that foundation, we recently expanded our suite of tools to 24 specialized web calculators, driving a massive boost in search engine indexation and impressions. In this article, we share our architectural blueprint, content expansion methodology, technical SEO implementation, and zero-latency client-side execution model. ...
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Backend Error Capture API: Lightweight Next.js Routes Without Sourcemaps or Replay

Short answer: choose the smallest exception-capture path that can reconstruct one failed financial agent run across every model call, tool call, retry, and outward notification. A lightweight capture API is enough only when it preserves that causal chain, records latency and cost inputs consistently, and fails without delaying the route. If it cannot, the operationally simpler choice is the fuller tracker, even when sourcemaps and replay are deliberately out of scope. This decision is about i...
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AIoT Explained: Bringing IoT Data to Life Via Intelligence

IoT addressed an important problem: making physical objects observable. They can give you information on temperature, vibrations, position, pressure, energy usage, equipment state, and thousands of other features. But data collection is just the beginning. The next and harder step is to make sense of this information. This is where AIoT (Artificial Intelligence of Things) comes into play. The idea of AIoT is to incorporate connected physical objects with data pipelines, ML, analyt...
From Edge AI to Governed Autonomous Edge Intelligence
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From Edge AI to Governed Autonomous Edge Intelligence

Why autonomous AI agents need security, governance, and bounded authority by design SGAEIA Research Series — Article 1 Aridio Silva Independent Researcher, Brazil Creator of SGAEIA — Secure Governed Autonomous Edge Intelligence Architecture ORCID: 0009–0008–2411–6995 Contents Why developers need to think beyond model security From a recommendation to an action Delegation should not silently expand authority Bound authority and make it withdrawable Appl...
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Build a Powerful GitHub Developer Portfolio

Hey there, future tech superstar! Ever wondered how some developers seem to effortlessly land amazing jobs, even with similar skill sets to yours? Often, the secret lies in their developer portfolio – and more specifically, how they leverage GitHub to make it shine. In today's competitive tech landscape, your GitHub profile isn't just a place to store code; it's your digital resume, your personal brand, and often, the first impression you make on a potential employer. A well-crafted GitHub...
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outis: Fight AI spam by generating and sending a fake "user unknown" bounce emails

Outis fights spam generating and sends a fake "user unknown" bounce for an email you received, so the sender believes your address does not exist. This isn't a new idea: I created a similar program back in 1998–1999, but I decided to revive it because it should work well with the recent trend of automated emails generated by AI, where the sender might expect a reply; it helps remove your email address from their list. Any idea on how to improve it? :) Comments