Programming
The latest Programming headlines, aggregated and deduped from public feeds across the web. See the sources.
The latest Programming headlines, aggregated and deduped from public feeds across the web. See the sources.
This is a submission for the Hacktoberfest Open-Source AI Challenge, Week 3: Slow and Steady. Clients move meetings at night. "Something came up Thursday, could we do Friday 10h instead?" To answer, I open my calendar, find a gap, and type the same reply I always type. It happens about once a week, across email, WhatsApp and Discord. Spare Thumbs answers for me. Gemma 4 runs on my laptop and watches my Gmail. When a client asks to move a meeting, it finds the meeting, checks my real Google Calen
On Wednesday, October 21, Node.js disclosed CVE-2026-111497: a Node process that decompresses attacker-controlled Brotli data can leak memory or run arbitrary code. People called it Node2Shell and the Node release lines got their patches. By Friday, the same CVE had a new name and a much bigger blast radius. Aikido's follow-up disclosure calls it HTTP2Shell: the flaw lives in Google's Brotli decoder, and Brotli is bundled or auto-loaded by far more than Node. Python's most common HTTP clients, c
Maria Curi / Axios: Lawmakers and Hill staffers in both parties say AI leaders are becoming a political liability as they swing between claims of prosperity and existential dangers — Washington has always viewed Silicon Valley as culturally strange. But the current crop of AI leaders is becoming …
Professionalism is often misunderstood as simply being good at your job. In reality, it involves much more than technical knowledge. Being a professional means knowing your strengths, developing your expertise, delivering quality work, and taking responsibility for the results. Trying to learn everything at once can leave you with a broad but shallow understanding of many subjects. Focusing on a specific field allows you to understand its fundamentals, recognize complex problems, and make better
Lazy Student AI: Study Smarter, Not Longer ✨ This is a submission for the [Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady] I built Lazy Student AI, a student-friendly AI study assistant that helps students turn lengthy college notes into useful revision material. As students, we often spend a lot of time reading long notes, figuring out the important concepts, and preparing questions before exams. I wanted to make this process simpler and less stressful. With Lazy Student AI, stu
I run a small AI song generator: you paste lyrics, pick a style, and get a sung track back. It is a Next.js 14 App Router app with next-intl (20 locales), PostgreSQL, Cloudflare R2 for audio, and a third-party music API that calls back when a track is ready. This month I spent a few days fixing things that had been quietly wrong for a long time. None of them showed up as errors in the UI. Here are the five that were worth writing down. 411 MissingContentLength, but only inside Next.js Uploading
Most outages are not caused by the thing that failed. They are caused by everything that waited on it, and then retried it, all at once. Timeouts and retries are the two smallest configs in your stack and the ones with the largest blast radius. The defaults are dangerous, the math is simple, and almost nobody does the math until after an incident review makes them. Here it is in advance. In Go, the standard HTTP client has no total timeout unless you set one: client := &http.Client{} // a reques
Smart AI glasses are everywhere, but their audio quality depends on what you’re using them for, Engadget reports. The piece notes that the suitability of these devices as a headphone replacement hinges on the specific listening scenario. While the market is flooded with AI‑enabled eyewear, the audio experience is not uniformly strong. ## Key takeaways Ubiquitous devices: Smart AI glasses have proliferated across consumer markets, according to Engadget. Variable audio: Audio performance varies ba
Your Laravel app saves an uploaded image successfully. The file exists in storage/app/public, but the browser returns 404 Not Found. When a Laravel storage link is not working on shared hosting, the problem is usually one of five things: the link is missing, Laravel created it outside the actual web root, an old symlink points to another machine, the hosting provider restricts symbolic links, or the generated image URL is incorrect. The good news is that you can diagnose these problems without r
People ask chatbots for tool recommendations now. "How do I convert HEIC to JPG without uploading it anywhere?" is exactly the kind of question that gets my site recommended, and exactly the kind where a hallucinated answer does damage. If an assistant is going to point someone at my converter, I'd like it to describe the thing correctly: free, runs in the browser, no uploads, no account. So the site now serves an llms.txt. Short version: a markdown file at the root of your site that gives AI cr
Building Engram: git for agent memory, on Walrus, Sui and Tatum By Rohan · Tatum × Walrus Total Recall hackathon · Track 02: Smart Agents for Real Life Every belief traceable. Every decision provable. Every memory forgettable. Watch the demo video · Try the live agent, no wallet needed · Read the docs · Read the code - The short version. AI agents now remember things about us, and they act on what they remember. But nobody can see how an agent learned something, which memory drove a decision, wh
If you ran pip-audit on Thursday, got a clean report and moved on, run it again. CVE-2026-111497 is an out-of-bounds write in Google's Brotli decoder. Aikido's headline now calls it HTTP2Shell; the rest of the internet mostly knew it as Node2Shell. It has a CVSS v4 score of 9.2 and affects Brotli 1.0.3 through 1.2.0. As of October 23, Aikido reported that pip-audit, Dependabot and Safety were not flagging the vulnerable Python packages, because the advisory databases hadn't mapped the CVE to Bro
You need a type-safe, low-bundle ORM for a Next.js app and want to get Drizzle wired up without hunting for scattered docs. npm install drizzle-orm postgres npm install -D drizzle-kit drizzle-orm is the runtime, drizzle-kit is the CLI for migrations, and postgres is the driver (swap for mysql2, better-sqlite3, etc. if you use another DB). Add the connection string to .env.local: DATABASE_URL=postgresql://user:password@host:5432/dbname For Supabase copy the connection string from Project Settings
Imagine a chat with a hundred thousand messages. Twenty of them fit on the screen. If you create a DOM element for every message, the browser has to keep track of all hundred thousand elements, even though the user sees only a small part of the history. Virtualization solves this problem: it keeps the visible messages and a small buffer around them in the DOM, and represents the rest of the space with an empty block called a spacer. The screen still feels like a long history, but the browser doe
First-run drop-off in a browser runner is often blamed on difficulty. In practice, many exits happen after a death the player cannot explain. If a press silhouette or sweeping indoor arm never reads before the commit window, Boost and roll tricks cannot save the session. In CGT Rocket X Racer — a fan-made rocket-car runner for desktop browsers — we treat hazards as a readability system first, and a difficulty dial second. A fair death says “I read late.” An opaque one says “the game lied,” and t
When developers build their first expense tracker, the data model almost always starts the same way. You create a transaction record with an amount, a category, a timestamp, and a type: income or expense. It feels intuitive, covers 90% of basic use cases, and works well enough when someone pays with cash or a standard debit card. Then you introduce credit cards, and the arithmetic immediately starts falling apart. If you treat a credit card bill payment as a routine expense, your ledger will qui
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Let’s be honest about how we actually write code at 1:30 AM. We don't make clean, atomic commits. We touch 17 different files across the backend and UI to fix one race condition, leave console.log("HERE_4") in three places, ignore the outdated README.md, and tell ourselves, "I'll untangle the git staging and write my standup notes tomorrow morning." Spoiler: tomorrow morning, you wake up 6 minutes before
If you only need last month's receipts, you don't need a tool. Gmail's search operators and a few lines of Python will get you there. In the Gmail search bar: has:attachment filename:pdf after:2026/09/01 before:2026/10/01 Combine from:, subject: and has:attachment to narrow things down, e.g. from:[email protected] has:attachment. If you want them saved locally without clicking through each email, Gmail supports IMAP with an app password (this requires 2-step verification to be enabled first).
AI image generation has become the most competitive category in generative AI — and the three leaders couldn't be more different. Midjourney produces the most visually stunning images but requires Discord and limits commercial use. DALL-E 4 offers the best text rendering and prompt adherence but lacks stylistic range. Flux delivers the fastest generation with the most open licensing but demands more prompt engineering skill. After generating 2,000+ images across all three platforms for marketing
ClutterMind AI: I Built an AI That Turns Messy Folders Into Organized Knowledge devchallenge hf26challenge Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Organize it. Understand it. Find it. I have a problem that I suspect many students, developers, and professionals share. I download a PDF for a project. I save some notes for an exam. I collect documentation, screenshots, reports, and code files for future use. I tell myself that I will organize everything later. Then I download
Most developers treat incoming webhooks like standard API endpoints: the request comes in, the server processes the data, updates the database, sends out notifications, and finally returns a response. In development, this looks completely fine. In production, it eventually brings your server to a halt. Here is why that architecture breaks down under real traffic, and how to fix it without overcomplicating your setup. The Three Traps 1. Gateway Timeouts Third-party platforms typically expect a re
TL;DR — Benchmark leaderboards evaluate a model in isolation, but production systems run a model wrapped in prompts, tools, retrieval, and guardrails. The benchmark number measures a construct that stops existing the moment you deploy. Treating a static accuracy figure as a property of the model rather than of the whole pipeline is the real source of eval-to-production drift. Every leaderboard tells you the same lie: that a score is a property of the model. It isn't. It's a property of a very sp
I run a visa agency in Bali. The other half of my week goes into Apify Actors, and one of them is an election board: every political contract on Kalshi and Polymarket in one table, same field names for both, so you can read the two venues side by side. What people want from it is one sentence — "who is favoured". What the two APIs hand you is thirty-odd numeric fields, several of which look like they answer that and do not. I spent an afternoon measuring how wrong you get by picking the wrong on
Yesterday’s playbook for bulk signup still applies when the prize moves downstream: new-user coupons, referral bonuses, and first-order subsidies. Promo farms rarely need a datacenter flood. They rotate residential or dial-up exits, sometimes through cloud phones, claim once per identity surface, and leave. A static “block all hosting” rule misses most of that traffic; a hard ban on every flagged address can still take out a whole building on shared broadband. IP99 by ThreatHunter gives you a fr
Decision in one minute Do not approve a phone voice agent because its browser demo sounds clear, because a vendor says “we support 8 kHz,” or because one test call completed. Approve the path only after you can name the representation at every boundary, observe what actually crosses that boundary, and pass a small compatibility suite on the real phone and browser routes you intend to support. The distinction that prevents most avoidable audio defects is this: a sample rate is not a codec, a code
If you've ever had to write release notes by scrolling through git log, you know the drill: squinting at commit messages, manually sorting "fix" from "feat," and copy-pasting into a Markdown file by hand. Here's a quick way to make that less painful using only git log. git log v1.2.0..v1.3.0 --pretty=format:"%s" This gives you every commit subject line between v1.2.0 and v1.3.0. You can also use two commit hashes instead of tags if you don't tag releases. If your commits follow a loose conventio
🥕 PantryPulse — Your Kitchen, Organized This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady. What I Built PantryPulse is a kitchen companion that helps you cook with what you already have and throw away less food. It aims to: 📸 Scan ingredients and keep a running inventory of your fridge The idea is to spend less time managing your kitchen and more time enjoying what comes out of it. Demo 💻 GitHub: MohdOves/Dev-Weekeend-Challenge-3 How I Built It Pantry
If you work on a few repos for a year, your local branch list turns into a graveyard: feature/login-fix, tmp-test, hotfix-2, and fifteen more nobody remembers. Cleaning up is easy, but only if you avoid the commands that delete work by accident. git switch main git pull git branch --merged main Everything in this list has its commits in main already. Deleting these branches loses nothing. Ignore main itself and any branch you are currently on. git branch -d old-feature The lowercase -d refuses t
Descubre las tácticas ocultas de IA que influyen en las decisiones de compra de tus clientes y aprende cómo protegerte. Descubre cómo la IA te manipula sutilmente y aprende a proteger tu marca y tus decisiones de compra. ¿Sabías que un cliente en San José, mientras buscaba un nuevo televisor, fue "guiado" inconscientemente hacia una marca específica, no por sus preferencias, sino por un algoritmo de recomendación optimizado para maximizar el margen de beneficio del minorista? La inteligencia art
Most AI agents start their first day the way a new hire does: one login for the task tracker, another for the docs, another for call recordings, another for customer feedback. Every extra tool is another token to manage, another set of permissions to reason about, and another place where the agent's picture of the work goes stale. This tutorial connects an agent to all four through one hosted MCP server and one API key, using Dutify. It takes about five minutes. One remote MCP server at https://
Hardening CI/CD Against CA Key Compromise: Dissecting Trivy v0.76.1 and Go Trust Stores In modern DevSecOps pipelines, vulnerability scanners such as Aqua Security's Trivy form the core barrier between unvetted source code and production container runtime environments. However, automated scanners are themselves software applications subject to the fundamentals of transport layer security and Public Key Infrastructure (PKI). The release of Trivy v0.76.1 highlights a critical, often-overlooked fai
Debian'ın tarihini anlatabilmek için öncelikle onu ortaya çıkaran insanların hikayesini anlatmamız gerekir. Ian Ashley Murdock, ailesi Güney Indiana asıllı olsada Nisan 28 1973'de babası o sırada doktora sonrası araştırmasını yaparken Batı Almanya'da bir üniversite şehri olan Konstanz'da dünyaya gelmiştir. 1975'de ailesinin Indiana'ya geri dönmesi sebebiyle eğitim hayatını burda geçiren Ian 1991'de liseden mezun olup bilgisayar bilimleri için Purdue üniversitesine başlamıştır. Henüz burada öğren
Some questions about a startup idea can be answered with a conversation or a cheap web page. Others need a working product. A lot of wasted effort comes from mixing the two up. Joel Gascoigne started coding Buffer before he'd checked that anyone wanted it. He says so himself, in a February 2011 post about getting from idea to paying customers. Partway in he stopped and put up a two-page site instead. Then he wedged a pricing page between the two pages, so a visitor had to click a plan before lea
When shopping for a home, most consumers rely on standard bank mortgage calculators. Unfortunately, the vast majority of online mortgage widgets are mathematically oversimplified: they calculate a clean Principal & Interest payment, while completely hiding private mortgage insurance (PMI) cancellation curves, tiered transfer taxes, and front-loaded interest mechanics. To solve this, I spent the last few months architecting SmartMortgageCalc, an open actuarial intelligence suite designed to deliv
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady. Open the Live Demo · Alternative Render Demo · View Source on GitHub Everyone has the pile: an invoice you'll pay "later", a renewal notice buried in a PDF, or a contract with exactly one date that matters. Laterlight turns that pile into a to-do list. Upload a TXT, PDF, or DOCX document, and an open-weight model extracts what needs doing, who it involves, how much, when it's due, and how urgent it is. A
Implementing OWASP Top 10 security fixes ensures web application security by addressing common vulnerabilities and preventing attacks, protecting user data and preventing financial losses. Identify and fix injection flaws using parameterized queries and input validation Implement secure authentication and session management to prevent broken access control Use secure protocols for data transmission and encryption to prevent sensitive data exposure Regularly update and patch dependencies to preve
When a company plans a mass layoff or a plant closing large enough to trigger the WARN Act, it cannot simply tell its workers and stop there. The law requires written notice to three distinct recipients, at least 60 days before the layoffs take effect. Each recipient gets the notice for a different reason. The first and most important recipients are the workers themselves. When employees are represented by a union, the employer must notify the union's representative rather than each individual w
Disclosure: I'm the developer behind all of these apps at CYBORGATE LTD. This is a #showdev post, so feedback, including the harsh kind, is welcome. A while ago I made a simple rule for myself: ship small, focused apps and let real users tell me what's worth doubling down on. Many months later, there are nine apps live across the App Store and Google Play. This post covers what they are, how I approached them, and what I'd tell anyone thinking of doing the same. App What it does Links Pregsi Pre
Originally published on Baize AI Notes. One-shot AI generation gives uneven results. The same task can come back accurate one time and far off the next. The usual cause is the process: nothing in it gives the model a chance to check its own output. Loop Engineering addresses that. It designs loops in which the AI verifies its result before handing it over. An experienced engineer does not commit code straight after writing it. They run the tests, look for missed edge cases, and only then open a
Writing JavaScript that works is only the first step. As applications grow, code becomes harder to understand, bugs become more expensive to fix, and even small changes can introduce unexpected problems. Clean code is about making your intentions obvious. When another developer opens your file six months later, they should be able to understand what the code does without spending hours tracing variables and function calls. In this article, we'll explore practical clean code principles, including
Four failures from running Prisma 7 and Astro on Cloudflare Workers: hanging connections, and a compatibility date that corrupts every SSR page. Aug 27, 2026 · 7 min read Autonnel’s website and platform backend run on Cloudflare Workers: Astro in output: 'server' mode, Prisma 7 against Postgres through Hyperdrive, all inside workerd. It works well now. Getting here cost several days that I would like to give back to whoever reads this. None of these were subtle bugs in anyone’s code. They were a
Short answer: choose the least complex summarization path that meets the reviewer's quality threshold, then make tenant-level usage records durable enough to explain every routing decision. For an edtech platform classifying moderation reports before human review, the dominant operational term is usually not the HTTP request. It is retained input and output context multiplied by repeated review traffic. A compact report, an explicit truncation policy, and a meter keyed to the tenant move that te
I used to treat ChatGPT like a vending machine. Need a React hook? Drop a coin. Need a PR summary? Drop another. Every ask started from zero — stack, conventions, what “done” meant — and every reply drifted a little from how we actually ship. The waste wasn’t the tokens. It was re-explaining our frontend rules every single time, then cleaning up the same mistakes. So I stopped pasting one-offs and started treating prompts like code: named, versioned, and checked into the repo. A throwaway chat i
Less sorting. More living. This is my submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady. I built SlothDesk, a local-first, AI-powered file organizer that helps take the repetitive work out of managing a cluttered folder. We all have that Downloads folder filled with assignments, invoices, notes, images, archives, and documents with confusing filenames. Manually opening each file, figuring out what it is, renaming it, and deciding where it belongs gets tedious quic
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2 Orderly: An AI WhatsApp Order-Taker That Refuses to Guess “2 kg rice, 1 litre oil, and 1 kg sugar.” But real messages can be much messier — Telugu + English, corrections, unclear quantities, or voice notes. The difficult part isn't just understanding the message. The real problem is knowing whether the AI understood the complete order correctly. That's why I built Orderly. What I Built It converts messy text and voice ord
1. Basic Information Article Title: How APT41 revived the BlackLotus bootkit to attack diplomatic organizations in Central Asia Source: Kaspersky Securelist Publication Date: 2026-10-22 Original Article: Kaspersky Securelist Related Resources: BleepingComputer, Microsoft: Revoking vulnerable Windows boot managers, Microsoft KB5025885: How to manage Windows boot manager revocations for Secure Boot, Microsoft: Guidance for investigating BlackLotus attacks, UEFI Specification: Boot Manager, shim: M
You built an app over a weekend with Lovable, Bolt, Replit or Cursor. It works, the demo looks great, and you are about to share the link. Before you do, spend an hour on the boring stuff. AI tools are good at making things work. They are much less good at making things safe, because "safe" never shows up in a demo. This is the checklist I run before any AI-built app gets real users. It is ordered by how often the problem bites, and none of it needs a security background. Anything your browser d
🚀 Technical Briefing: This tutorial is part of our deep-dive series on Agentic Workflows at Gate of AI. For the full technical breakdown, interactive code sandbox, and the native Arabic translation, visit the original article here. Technical architecture guide | Customer support agents | Human approval Design a Human-Approved AI Support Agent This guide explains how to structure a customer-support agent that can use bounded tools while keeping consequential actions behind a human approval check
By **Abdulrahman Maslmany* (Lead Systems & Productivity Architect) • CERN Zenodo Researcher* 📌 Executive Summary: Best Cloud GPU Platform by Use Case in 2026 • Best for Developers & Mid-Tier Fine-Tuning: RunPod — Instant pod deployment, zero egress fees, seamless serverless endpoints, and excellent A100/H100 hourly availability ($1.89 — $3.29/hr). • Best Bare-Metal Multi-GPU Training Clusters: Lambda Labs — 100% dedicated SXM interconnect architecture, 3.2 Tbps InfiniBand quantum fabric, zero e
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Last week, for my Week 2 project, I took a lot of screenshots. Then I spent 10 to 15 minutes doing the most sloth-unfriendly job in the world: opening each Screenshot 2026-10-11 173802.png, figuring out what was in it, pressing F2 and typing a name like ghw-hypertable-show-chunks.png. Lazy Screenshot Namer does that for me. It looks at every screenshot in a folder with a local Gemma 4 model, describes it,
The short answer WordPress is the right default for most business websites: proven, fast to launch, and easy to run. Custom development is the right choice when the website has a job that only that business does. The expensive mistake is not picking the wrong platform — it is picking a platform without asking what the website has to do. If you need a professional business website live in weeks, with a modest budget and content you can update yourself, WordPress is usually the right call. If your
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady accounts.google.com / sloth-digest 🦥 Sloth Digest Wake up to a 2-line summary of your group chats, written by an AI that never leaves your laptop. Export a chat (WhatsApp: Chat → More → Export chat → Without media), drop the .txt in a folder, and run one command. Sloth Digest reads only the new messages since last time and writes a digest: ## family_group (13 new messages) TL;DR: <two short sentences> Pl
When a Codex usage-limit reset shows up on X, the time string is usually not in your timezone. It says things like “by midnight PST,” “before 10am PST,” or “landing by EOD.” That is fine if everyone on the team lives in California. It is less fine if one person is in Shanghai, another in Berlin, and someone else is reading the same screenshot six hours late. This is not a /status walkthrough. Your personal 5-hour and weekly windows still live in the Codex UI. This is about the other clock: publi
Alert management: for GitOps operations The expensive failure is rarely the missing tool; it is the absent operating contract. For alert management for GitOps operations, the decisive question is not whether a team can demonstrate the technology once. It is whether the organisation can operate it repeatedly, audit its decisions, and recover when assumptions fail. Treat alert management as part of an SLO-led telemetry platform that connects service behaviour to customer-visible outcomes. Define t
Why naive UTC strings break financial ledgers—and how to build a self-healing timezone architecture using IndexedDB, HTTP Context Tokens, and the Onion Interceptor Pattern. 1. The $48,000 Six-Hour Blind Spot (A Real-World Story) The carrier’s report says $248,200. Your dashboard says $200,000. Where did $48,200 go? Nobody hacked the database. Not a single transaction was dropped. The culprit was a single letter—Z—appended by a well-meaning frontend date picker: GET /internal/v1/stats/revenue?sta
Originally published on AI Stack Lab: https://aistacklab2026.blogspot.com/2026/10/best-ai-image-upscalers-in-2026-local.html If you search for the best AI image upscaler, most results promise "4x more detail" and never mention the awkward part: an upscaler cannot recover detail that was never captured. It guesses. Sometimes the guess is excellent, and sometimes it paints a confident wrong eyelash or a smooth, plastic-looking wall. This guide compares two free local options with three online or h
Back in July, I wrote a post about making games in 2027. Unity was picked. Blender was picked. The actual game was considerably less picked. At the time, that felt like a reasonable commitment. I had other software to build, plenty to learn, and a long history of being interested in game development without getting very far into it. Putting a year on it gave the idea somewhere to go. It is now October 2026, and there are two Unity game projects in my studio. Apparently, I started early. That des
By **Abdulrahman Maslmany* (Lead Systems & Productivity Architect) • CERN Zenodo Researcher* 📌 Executive Summary: The Local Coding Hardware Verdict The definitive mistake in building a local AI or "vibe coding" workstation is prioritizing raw compute clocks over addressable VRAM capacity and KV cache headroom. • 8GB VRAM (RTX 4060): The absolute physical floor for 7B–8B models with basic autocomplete and single-function debugging. • 12GB VRAM (RTX 3060 12GB): The unrivaled budget upgrade, comfo
The Web's New Report Card: Why Core Web Vitals Matter (and How to Ace Them!) Hey there, fellow internet dwellers! Ever visit a website that felt like a snail wading through molasses? You click a button, and then... crickets. The image finally loads, but by then you've already lost interest. Yeah, we've all been there. Well, the good news is, Google (and frankly, the whole internet) is fed up with that sluggishness too. That's where Core Web Vitals come in. Think of Core Web Vitals as the interne
Every repo I open now has an AGENTS.md. Mine do too. A paragraph that says "never hardcode secrets", "only write inside src/", "run the tests before you commit". Then a model reads it, agrees with it, and does whatever it was about to do anyway. I wanted to know how big that gap actually is, and I did not want to answer it with an opinion. So I built a harness that runs the same task twice with the same model and the same rulebook, and changes exactly one thing: who checks. In one arm the rules
No one sits down and decides to build an internal AI platform. That is the part worth grasping before any build-versus-buy conversation, because it explains how careful, reasonable engineering teams end up owning one anyway. It begins small. Someone wires up an agent that turns a Jira ticket into a draft PR. It works in the demo, the room is impressed, and the cost of that first version is truly low. A few prompts, an API call, a webhook. So you build a second agent for code review. Then a third
Calling a language model from a web page no longer requires an API key, a per-token invoice, or sending user data to a server. Chrome's Prompt API, powered by Gemini Nano, is stable in extensions since Chrome 138 and on the web since Chrome 148: a page in Chrome can ask the browser to summarize, classify or rewrite, locally. For extension developers, this is a category shift: AI becomes a browser capability, on par with storage or notifications. It is not magic, though. The model downloads on fi
One snail. One blue button. An entirely unnecessary engineering department. This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady. Meet Mr. Pending, Chief Engineer of The Department of Unnecessary Engineering. His mission? Press one blue button. Most people would simply press it. Mr. Pending is a snail with professional standards. Naturally, he requires blueprints, machinery, testing, repairs and an unreasonable amount of paperwork. Behind the joke is a real
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady What I Plan to Build As a student, I know how time-consuming it can be to go through lengthy PDFs, prepare revision notes, and create questions for practice. Sometimes, the hardest part of studying is not learning the material but organizing it all. That is why I want to build LazyStudy — an offline AI study buddy that does the repetitive preparation work for you. The idea is simple: upload a study PDF an
Most "the AI ruined my product" complaints are photo problems. The logo melts, the bottle turns from teal to green, the shoe grows an extra stripe. Usually the input is one busy lifestyle shot, or five photos taken in five different lights. I build RefVid, which turns product photos into video with reference-to-video models such as Kling Omni. We shoot many test sets for invented products (a serum called LUMEN, a shoe called AERO 1). This is what works with a phone and a kitchen table. Image-to-
The journey from foundational theory to a fully automated production environment is one of the most rewarding transitions in software engineering. Over my two years working in cloud infrastructure, I have come to appreciate that robust deployments are rarely born from just writing code; they stem from a deep understanding of underlying network principles and disciplined project analysis. Recently, I completed the rigorous DevOps program at TS Academy. As I progressed through the curriculum—from
Backup Generator Guide (https://backupgeneratorguide.com/) lists generator installers across 12 Southern states. This post describes where those records come from, how they are checked, and the rules that decide which page a business appears on. It also covers what the data does not tell you. There are two kinds of records. Generac dealer records. These come from Generac's public dealer locator. They are listed by the manufacturer, so we keep them even when our own website check fails. Basic lis
We test guardrails by sending them bad input: an injection, a card number, a refund that's too big. That's necessary, but it only tests the guard when the guard is working. The more uncomfortable question is: what does your agent do when the guard itself breaks? It throws, its dependency is down, it gets wired into the pipeline wrong, or it runs in a code path you didn't expect. In my experience the answer is usually "it allows the request", and nobody notices until much later. So I went through
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady tldr-everything is a local reading-debt killer. You hand it a PDF, a Markdown file, or a paste. It gives back three layers, each from its own model call: a 30-second summary, about 60–90 words, the claim and the outcome a 3-minute explanation, about 350–500 words, the why, the how, and the jargon detailed notes grouped by page, with citations like (p. 4), plus the top takeaways and the questions the docum
Skyviewor provides low-latency METAR/SPECI access for 55 supported Chinese airports. Use REST to fetch the latest report on demand, or keep a WebSocket open to receive new reports by push as they arrive instead of polling. This Python example starts with REST; the WebSocket push guide covers the live stream. Disclosure: I work on Skyviewor, the API used in this example. Here is a minimal REST request for Beijing Capital and Shanghai Pudong. The API returns raw or parsed METAR/SPECI: import os im
The scenario I almost didn't write was the dull one: a customer tries a coupon on a 50.00 cart, gets rejected because the minimum is 100.00, then adds items and tries again at 150.00. Should the second attempt work? Obviously yes. But "obviously" is not in any prompt, and code that records a redemption before checking the rules will happily use up the coupon on the failed attempt. That's the part of spec-driven development I want to focus on here. Not the tooling or the commands, just the spec i
The model we were integrating came as a PLY file of about 1.76 GB, containing 25,842,067 Gaussians. We previously wrote about the stalls and blur we investigated once it was rendering. This time, I want to take a step back: what does the browser receive first, and how does it fill in more detail as the view changes? For the close-up test, we set a selection budget of 2.5 million Gaussians. The source contained more than 25 million, while the current selection contained only a few million. We had
The first time I let my own agent run a "research this and make me a spreadsheet" task with my own API key, I didn't look at the bill until afterwards. It wasn't huge. But I realised I had no idea what a single task could cost, and that's a weird feeling when it's your money and your key. That's why Kryzz AI has a per-turn cost cap. Quick context: Kryzz AI is an MIT-licensed Android app (Kotlin + Jetpack Compose) for chat, voice and agent tasks. It doesn't run models on the phone. You bring your
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady At step 100,000, my robot was lying on its back with its legs in the air, kicking. The reward curve said it was having its best run yet. step 0 step 100,000 I'd written a reward term to keep its body level and got the sign wrong, so it was paid for tilting. Over 600,000 training steps the reward climbed from 908 to 3,525. Every alert I'd normally set (reward dropped, KL divergence spiked, loss exploded) s
Digital marketing has become an important skill for businesses, professionals, entrepreneurs, and people looking to build a career in the digital economy. From search engine optimisation (SEO) and paid advertising to social media marketing, analytics, and AI-powered workflows, the field offers several areas to explore. But if you're planning to learn digital marketing in Ahmedabad, one question probably comes first: Which digital marketing institute should you choose in 2027? The answer depends
The database was struggling. The API said the user didn't exist. That is the part of OpenRouter's February outages worth looking at closely. The reported failure involved cache connectivity and the database lookups behind API-key authentication. When the cache stopped serving those lookups, the database had to absorb work it normally wouldn't see. Requests started failing with 401 User not found. There is an important distinction here: an authentication failure and an authentication infrastructu
LazyList AI: Let Open-Source AI Plan Your Meals and Grocery List Ever opened your refrigerator, stared at the ingredients, and wondered what to cook? Then, after deciding on a meal, you realize you are missing half the ingredients. I wanted to build something small that makes this everyday task easier. Meet LazyList AI, a simple AI-powered grocery planning application that suggests meals based on ingredients you already have and creates a shopping list of the missing items. The idea behind this
A 7B model in fp16 takes 13.5 GB of GPU memory for its weights. On an 80 GB card that leaves about 66 GB free, which sounds like plenty. It runs out at around 30 users with 4,096-token contexts, and the weights aren't what fills it. The KV cache is. This post works through the arithmetic. All the numbers are for a Llama-2-7B-shaped model: 32 layers, 32 attention heads, head dimension 128, fp16. A decoder-only model generates one token per forward pass. The new token's query has to attend to the
How to Become a Tech Conference Speaker (And Why You Might Regret It) Real experiences from recent events like JS Poland Sylwia Laskowska Oct 21 #techtalks #career #speaking 194 reactions comments 11 min read
Free 21-item 8D checklist (PDF): https://8d-gate.vercel.app/free-8d-checklist?utm_source=devto&utm_medium=article&utm_campaign=food-complaint_checklist (enter your email to download) If your background is automotive supplier quality, a food or FMCG complaint can feel like a different sport. The customer may not ask for an 8D at all. The first hours are about hold, withdrawal and recall decisions, not a portal form. Traceability is measured in lots, shifts and ingredients rather than part numbers
An agent install script that prints "Installation completed successfully" proves very little. The agent can be running, connected to the server, and reporting wrong values or nothing at all on some checks, without a single error message. That is what we found while testing the Logiserv agent install script on brand-new virtual machines. Here is the method, what it cost, and the ten problems we found. Most of them affect any Zabbix installation, with or without Logiserv. To test a first install,