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p Alright, let’s talk about AI coding. If you’ve been using ChatGPT, Codex, Claude… whatever your weapon of choice is — you’ve probably felt this already. Sometimes it’s insane. Like… how did it just write that? Other times, it’s just frustrating. You explain something. It kind of gets it. Then you ask something else and it completely forgets everything you just said. /p p I’ve hit that wall a…

p If you still think of GitHub Copilot as "the thing that autocompletes your code," you're about two years behind. That's not a criticism - the product has changed faster than most people's mental models of it. This post is an attempt to give you an accurate picture of what Copilot actually is right now, what the research says about its impact, and where the real limits are. /p h2…

p Founders rarely fail because they lack tools. They fail because context leaks everywhere. /p p An investor call happens on Monday. A customer complaint lands on Wednesday. A hiring candidate mentions a salary concern on Friday. By the next week, half the useful detail is trapped in Slack threads, meeting notes, Notion pages, and somebody’s memory. /p p I wanted to build a system that…

p What happens if we take a scientific approach to analyzing the most common claims about GraphQL vs REST? You might be thinking that you know the answer to most of these claims, and even I thought I did before I started this research. /p blockquote p SPOILER ALERT: GraphQL is inferior to REST because it breaks HTTP caching is actually misleading. The infamous N+1 problem? It's real, but…

h1 Jibun Corp's AI Hub Reaches 35 Providers: Adding SiliconFlow and Novita AI /h1 p We just crossed 35 providers in our unified AI Hub feature. Today we're adding two more OpenAI-compatible inference platforms: strong SiliconFlow /strong and strong Novita AI /strong . /p h2 Why SiliconFlow? /h2 p SiliconFlow (硅基流动) is China's largest AI inference platform,…

p As RFID deployments grow more sophisticated, so does the software stack that powers them. You might have one AI model for serial number generation, another for error correction, a third for read range prediction, and yet another for compliance checking. Each model has its own API endpoint, authentication method, and rate limits. Managing this complexity becomes a full-time job. That is where an…

h3 All Data and AI Weekly #238-20April2026 /h3 h4 ( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data ) /h4 h2 strong Tim's Corner: Agents Get Report Cards, Polaris Graduates, and JSON Goes Turbo /strong /h2 p Welcome to issue 238! This week Snowflake…

p The new Claude Opus 4.7 tokenizer is silently eating your budget. /p p I ran the same prompts through both 4.6 and 4.7 last week. Identical code, identical context. 4.7 used 33-50% more tokens depending on the language mix. English text gets hit hardest — up to 47% inflation on prose-heavy prompts. /p p This isn't a bug. It's the new tokenizer. /p h2 the math /h2 p Same…

p I was spending $45/month on the Claude API. Not crazy money, but it bugged me because I knew most of my tokens were going to simple tasks that didn't need Opus-level reasoning. /p p here's what worked. /p h2 the problem /h2 p I was calling code claude-opus-4-6 /code for everything. Refactors, typo fixes, code reviews, architecture decisions — all Opus, all the time. At…

p Yesterday, my homelab server suddenly became unresponsive. It started with a flurry of Discord notifications, the universal signal that something has gone seriously wrong. /p p I found all services offline. The logs pointed to a primary culprit: a Redis failure, specifically a Server Out of Memory error. /p p The core error was: code RedisClient::CommandError: MISCONF Errors writing to…

h1 How to Get Zillow Data Using a REST API in 2026 (No Scraping Required) /h1 p Getting property data from Zillow has always been a headache for developers. The official Zillow API was deprecated in 2021, and the replacement - Bridge Interactive - requires an enterprise application, weeks of waiting, and pricing that starts at $500/month. /p p But what if you could get 50+ data…

p Every factory has two kinds of knowledge. There's the kind that lives in binders — official manuals, error code sheets, maintenance schedules. And then there's the other kind: the stuff that lives in people's heads. The fix that only works if you tap the relay housing first. The paint sprayer that always throws a TEMP_OVERRUN_03 when the morning crew forgets to flush the line. The robot arm…

p Everyone has a vault full of beautiful corpses. Notes you wrote at 2am, PDFs you highlighted, project logs, character sheets, half-finished essays. Then you install an AI plugin and it gives you glorified Ctrl-F with a chatbot face. That is not RAG. That is autocomplete wearing a trench coat. /p p The missing piece in 2026 is not a bigger model. It is local graph retrieval that understands…

h1 From Guessing to Knowing: How I Used AI Agent Simulation to Fix My Ad Messaging /h1 p em A UX researcher's experiment in synthetic audience intelligence — and what it taught me about my own product. /em /p h2 The Honest Problem /h2 p I had ads. Good ads, I thought. /p p They were clean. They hit the features. They explained what Waco3.io does — proposal…

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h2 Section: 1 Choosing the Right Project And Where You Can Truly Contribute /h2 p Another major challenge in Developer Experience (DevEx) design is choosing where to contribute. In the cloud-native ecosystem, different projects require completely different skills and levels of understanding. For example: /p p OpenTelemetry → requires knowledge of observability, telemetry data, and…

h2 Why Azure Container Apps for AI Workloads /h2 p em Part 1 of "Running LLMs amp; Agents on Azure Container Apps" /em /p p I spend a lot of time helping teams at Microsoft figure out where to run their AI workloads. The conversation usually starts the same way: "We want to use LLMs, but we don't want to send our data to OpenAI, and we don't want to manage Kubernetes."…

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p There's a belief baked into the dev community that distributing AI inference close to the user is, by definition, good. More speed, less latency, better experience. And yeah, in the abstract it makes sense. The problem is that "distributed" and "decentralized" are not synonyms — there's a massive difference between the two that's getting completely lost in all the excitement around Cloudflare…

p Hay una creencia instalada en la comunidad dev que dice que distribuir la inferencia de IA cerca del usuario es, por definición, bueno. Más velocidad, menos latencia, mejor experiencia. Y sí, en abstracto tiene sentido. El problema es que "distribuido" y "descentralizado" no son sinónimos, y hay una diferencia enorme entre los dos que se está perdiendo en todo el entusiasmo alrededor de…

p Debugging a circuit with LTspice is basically like planning a road trip with Google Maps when you're not sure the roads actually exist. The map says everything will work. The real world says something else entirely. And you're standing on a corner that doesn't show up anywhere. /p p That's exactly the problem I've had with an electronics project that's been sitting on my bench for months:…

p Corregir un circuito con LTspice es básicamente como planear un viaje con Google Maps sin saber si las calles existen. El mapa dice que todo va a funcionar. El terreno dice otra cosa. Y vos estás parado en una esquina que no aparece en ningún lado. /p p Ese es exactamente el problema que tengo con un proyecto de electrónica parado desde hace meses: la simulación da perfecta, el circuito…

p Back in 2005, when the internet café was packed on a Friday night, I had one very clear metric: minutes until the connection came back. Every minute was money walking out the door — not mine, the owner's, but I felt the weight of it. I learned fast to tell the difference between problems worth attacking with trial and error and ones that needed precise diagnosis first. Spending five minutes…

p En 2005, cuando el cyber café se llenaba un viernes a la noche, yo tenía una métrica muy clara: minutos hasta que volvía la conexión. Cada minuto era plata que se perdía — no la mía, del dueño, pero el peso lo sentía yo. Aprendí muy rápido a distinguir qué problemas valía la pena atacar con ensayo y error y cuáles necesitaban diagnóstico preciso primero. Gastar cinco minutos probando cables…

The Trump administration has spent nearly two months fighting with AI company Anthropic. It's dubbed the company a "RADICAL LEFT, WOKE COMPANY" full of "Leftwing nut jobs" and a menace to national security. But some of the ice may reportedly be melting between the two, thanks to Anthropic's buzzy new cybersecurity-focused model: Claude Mythos Preview. [ ]

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I’ve been working on Pyra for the past few months and wanted to start sharing it in public.Right now it’s focused on the core package/project management workflow: Python installs, init, add/remove, lockfiles, env sync, and running commands in the managed env.The bigger thing I’m exploring is whether Python could eventually support a more cohesive toolchain story overall, more in the direction of…

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p Now that we have familiarized ourselves with the default strong minikube start /strong command, let's dive deeper into Minikube to understand some of its more advanced features. /p p The code minikube /code start by default selects a code driver /code isolation software, such as a hypervisor or a container runtime, em if one (VitualBox) or multiple are installed on the host…

p My homelab runs the usual stack — Sonarr, Radarr, Prowlarr, qBittorrent, Plex. I was getting ntfy alerts at all hours for things like ffprobe metadata reads and HTTP 429s from indexers. Not actionable, just noise. /p p So I built strong Cortex /strong : a monitoring layer that sends Docker logs through a local LLM (Ollama) every 30 minutes, filters the noise, and routes only meaningful…

I built this tool a while back when I accidentally deleted thousands of my PDFs. I found the existing ext4magick and similar solutions to be cumbersome and complicated to use, and wanted something similar that just did PDFs.As a bonus, because it only handles PDF documents, the pattern recognision is super simple, allowing this program to scan through a disk at high speed, like the maximum read…

h2 Qwen3.6 GGUF, RTX 4080 Cooling amp; Pragmata GPU Benchmarks Drive Performance /h2 h3 Today's Highlights /h3 p Today's highlights feature critical benchmarks for Qwen3.6 GGUF quantization, demonstrating significant VRAM optimization for local LLMs. We also cover a practical thermal solution for the RTX 4080, showcasing PTM7950's impact, and a comprehensive performance…

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h2 Claude Design, Opus 4.7 Regression, GPT-5.3 amp; KIMI K2 Benchmarks /h2 h3 Today's Highlights /h3 p Anthropic unveils Claude Design, a new AI-powered web design environment, marking a significant entry into automated design tools. Meanwhile, developers report a 'serious regression' with Claude Opus 4.7, prompting concerns over model consistency, even as new political…

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h2 Qwen3.6 GGUF Benchmarks, Ternary Bonsai 1.58-bit Models, amp; Ollama Code Explainer Tool /h2 h3 Today's Highlights /h3 p This week, the local AI community is abuzz with new Qwen3.6 GGUF benchmarks, revealing optimal quantization strategies, and the introduction of Ternary Bonsai, an ultra-low-bit model family. Additionally, a new open-source tool, CCWhisperer,…

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h1 How I Built a Production AI Agent for $5/month Using Open Source + OpenRouter /h1 p Stop overpaying for AI APIs — here's what serious builders do instead. /p p I spent three months running an AI agent on Claude 3.5 Sonnet through OpenAI's API. The monthly bill hit $847. Then I rebuilt it using open-source components and OpenRouter. Same performance. strong $5.23/month. /strong…

p Check out this Pen I made! /p p iframe height="600" src="https://codepen.io/Bad-Builders/embed/WbGmXXM?height=600 amp;default-tab=result amp;embed-version=2" /iframe /p

p Comparing the AZ-204 skill outline against the AI-200 course structure, roughly 60% of AZ-204 carries forward, 25% is dropped entirely, and AI-200 adds about 30% net-new content that AZ-204 never touched. Which side of that split you land on determines whether this transition is a week of review or a month of study. The gap is lopsided enough that you cannot assume existing knowledge transfers…

h2 The numbers said OLT-1 was stuck at 28% understanding. The numbers were wrong. /h2 p When you build a developmental AI that learns one concept at a time, you run into a problem that doesn't exist for internet-scale models: you can't just scrape more data. OLT-1 is at Stage 9. A Stage 10 training dump from the internet doesn't exist, because the internet was written for adults. /p p So we…

h2 I shipped a “viral” quiz… and got 22 visitors /h2 p Last weekend, I launched a small side project: br 👉 a strong 60-second travel personality quiz /strong /p p I expected quizzes to spread on their own — they feel inherently viral. /p p strong 5 days later: 22 visitors. /strong /p p So I did a quick post-mortem 👇 /p h2 📊 The Numbers /h2 ul li…

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h1 How I Built a Production AI Chatbot for $15/month Using Open Source + OpenRouter /h1 p Stop overpaying for AI APIs. I'm running a production chatbot that handles 500+ daily conversations, maintains context, and costs less than a coffee subscription. Here's exactly how. /p p Most developers I talk to assume production AI means enterprise pricing. They see OpenAI's $0.03 per 1K…

Last month, OpenAI gave up on its Sora video generation tool, and on Friday, the Sora team's leader, Bill Peebles, announced that he is leaving the company. OpenAI has been shifting its priorities as part of an effort to avoid "side quests," and Peebles' departure is just one of many recent changes as the company [ ]

Tinder users who prove they're a real person by visiting an identity-verifying orb will soon be able to get five free boosts in the app - and it's just the latest service to embrace the orb. World, which was co-founded by OpenAI CEO Sam Altman, initially tested Tinder verification using its facial scanning orbs through [ ]

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p Most people remember the first time they opened a terminal. Maybe it was a Tuesday night, on a laptop at a kitchen table somewhere. The window was black. The cursor blinked. And the person sitting there was completely convinced that every other human on earth had been handed some secret manual they'd never seen. /p p The feeling that everyone else already knows this and I'm the only idiot in…

h1 Orquestacion multiagente con Openclaw dockerizada. /h1 blockquote p — Un panel de control que gestiona agentes con OpenClaw separados en contenedores Docker por "departamentos", les deja delegarse tareas entre ellos, y mantiene un strong contexto compartido /strong persistido en base de datos para que no se pierdan en la conversación. En este post enseño como funciona el panel…

p After 8+ years working with Angular, I thought I had state management figured out. br Than I rewrote one of my real-world stores using Signals, because I realize I was mostly managing complexity, not reducing it. /p h1 The Context /h1 p Like many Angular developers, I've used NgRx for years. When strong ComponentStore /strong came out, it felt like the perfect balance: /p…

p now my code is not 100% correct way to verify mobile number exactly, strong update soon /strong /p p now i checked some condition to conform given number given number is mobile number. /p p strong condition 1 : /strong br given numbers must be only strong 0 to 9 /strong or strong + /strong or strong empty space /strong . /p ul li above the condition is true, then only…

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