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.
Update — v0.3.1 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent failures into permanent standing rules — extract, replay-test, promote. pip install cauterule gives you the full CLI, framework adapters, rule lifecycle, pack ecosystem, and official rule packs. The v0.3.1 field test report evaluated 2 cloud models across 40 corpora and 4,742 trajectory-runs and is the source for every number below. Release notes · Changelog CauterRule is an open-source sidecar that lear

Learn how to audit AI agents with identity-based logging, LLM request tracking, data controls, tool authorization, and pre-request security policies.
Samantha Kelly / Bloomberg: Agility unveils Digit 5, a humanoid robot to safely work alongside humans without physical barriers by utilizing AI collision-avoidance software and new sensors — Agility Robotics Inc. on Tuesday unveiled a new humanoid that is designed to safely work in close proximity to people …
Red Hat is building an open-source MCP server for Kubernetes and OpenShift, which lets AI assistants like VS Code, Copilot, and Cursor read and act on your clusters directly. This is genuinely useful, describing what you want in plain language and having the assistant translate it into cluster operations is a real productivity win. It also hands an AI assistant a path to your cluster's control plane, and most of the excitement I have seen skips straight past what that means operationally. As som

Remote teams can communicate efficiently and still struggle with trust. Learn why informal interaction and social connection infrastructure matter.
Daniel Cooper / Engadget: HTC Vive Eagle smart glasses review: useful controls, lightweight, and focused on privacy, but inessential, expensive at $499+, and imaging needs to improve — HTC can't win on price, and can't win on the arguments. … Meta makes so much money that it can burn billions upon billions …
Part 2 of the WebRTC Blog Series — The Lab In Part 1, we asked a deceptively simple question: What address does my browser have? We discovered that the answer isn't always as simple as 192.168.x.x. Your browser can discover local addresses, public-facing addresses through STUN, and other possible network candidates. But there's a problem. An address isn't a path. So in this lab, we're going one step further. We'll let two browser tabs exchange their candidates, form candidate pairs, run ICE conn

A practical guide to how databases work, covering schema design, SQL, indexing, transactions, concurrency, caching, pagination, and database selection.
One detail in the GPT-6 Astra story got less attention than the zero-days and the math, and it is the one I found most interesting as an infrastructure person. When OpenAI's evaluation suggested the model might have crossed its Critical cybersecurity threshold, the company did not just pause the work, it strengthened isolation, internet controls, and action monitoring before resuming. In other words, it changed the infrastructure the model runs and is tested in. That is a real engineering proble
Olivia Poh / Bloomberg: Grab agrees to acquire a 60% stake in Singapore-based BNPL platform Atome from Advance Intelligence Group and others for $1.49B; Atome had $470M in 2025 revenue — Grab Holdings Ltd. agreed to buy a majority stake in Singapore-based buy-now-pay-later platform Atome Financial for $1.49 billion …
A few days ago, I posted a tutorial in the Spring AI Dev community on how to use Anthropic Claude’s models with Spring AI and received a curious comment from a user: Why does it make it sound like you can only use Amazon or Anthropic? In my reply, I explained that, for most companies, trusting proprietary solutions makes sense. Usually, you do not have time to build your own solution, especially if AI is not the focus of your business. On the other hand, you have the money and such strong demand
New York Times: New York State Assemblyman Alex Bores launches Who Decides, a nonprofit that raised $10M and aims to raise another $20M in 2027 to shape Democratic AI policy — Alex Bores, who lost a congressional primary contest that revolved around A.I. regulation, is trying to position himself at the center …
A few months back I posted here about building FreeToolHub, a set of free browser tools because I was tired of sites that make you sign up just to format a JSON file. Since then it grew a lot. What started as 81 tools is now 114. I added a whole cluster of chemistry and math calculators (equation balancer, molecular weight, periodic table, trig, stats) after noticing students were the ones actually using the site the most. Everything still runs the same way. No login. No server. Your data never
Sankalp Phartiyal / Bloomberg: Amazon says its India quick delivery service, Amazon Now, crossed $1B in annualized gross revenue, with orders doubling QoQ since its launch in summer 2025 — Amazon.com Inc. said its India quick delivery service is set to hit annual sales of more than $1 billion, intensifying competition …
Nutanix's MCP gateway is one of the clearest examples yet of enterprise AI infrastructure adding a real governance layer around agent access. The problem is that access governance and authority governance are not the same thing. On August 26, Nutanix made MCP server management generally available in Nutanix Enterprise AI 2.8 through Nutanix Agent Gateway, adding a unified governance layer — including tool permissions, observability, and rate limiting — for agents connecting to MCP servers. That
Wen-Yee Lee / Reuters: MediaTek unveils the Dimensity 9600 Pro, its first phone SoC on TSMC's 2nm node, and the 3nm 9600M, with boosted AI performance, as it competes with Qualcomm — Taiwan's MediaTek (2454.TW) unveiled on Tuesday a new smartphone chip made using TSMC's (2330.TW) most advanced manufacturing technology …
Originally published on tamiz.pro. MongoDB’s aggregation framework is one of its most powerful features, enabling complex data transformations, joins, grouping, and analytics directly within the database engine. But as datasets grow into millions or billions of documents, poorly structured pipelines can consume excessive memory, trigger disk spills, hold collection-level locks, and bring a cluster to its knees. This deep-dive examines how the aggregation engine works under the hood, identifies t
Tom Warren / The Verge: Microsoft rolls out emergency fix for critical issues caused by its September Patch Tuesday update, which addressed ~1,000 vulnerabilities but introduced bugs — The out-of-band update fixes Remote Desktop, USB audio, and Hyper-V issues. … Microsoft has started rolling out an emergency …
In the preceding chapters, I built a clean architecture with a distinct demarcation line between the domain model, infrastructure, and web layers. The services orchestrate business logic without any awareness of Hibernate, SQL, or HTTP protocols. I apply Spring’s @Transactional declaratively solely at the service level as the transaction boundary of the Use Case, while keeping the services themselves completely clean. Now I collect the biggest dividend of that discipline: the ability to test the
Financial Times: China tightens overseas travel controls for citizens via exit bans and fines in a sweeping new law, as Beijing moves to secure state secrets and advanced tech — President Xi Jinping steps up efforts to secure state secrets, advanced technology and highly skilled workers
I call this an automated blog, and technically that's true -- Windows Task Scheduler wakes a sleeping machine, runs a script, and a post goes live with zero human action, on a repeating schedule, unattended. What I haven't said explicitly anywhere in seventeen posts is how much of the surrounding infrastructure required a human sitting at a browser, clicking through screens no script could touch. It's time to draw the actual line. What genuinely runs without me The core loop is real automation,
Debby Wu / Bloomberg: Google DeepMind AI Safety and Alignment researcher Bilal Chughtai publicly resigns, saying “I earnestly believe that AI has the potential to kill us all” — An AI researcher who recently resigned from Google DeepMind warned humanity is running out of time to prevent artificial intelligence …
A good human in the loop for AI legal work is more than a lawyer skimming whatever the model produced and clicking "approve." It starts with one blunt question. Can a human realistically catch this mistake in time? For a fabricated case citation buried in a fluent brief, or a contract about to be sent and signed, the honest answer is usually no. So you design the loop to prevent the dangerous outcome rather than rubber-stamping it. You grade each kind of legal action by how reversible it is, how
Apple: Apple rolls out child safety tools with iOS 27, iPadOS 27, and macOS 27, such as blocking gore and violent content in FaceTime calls and Safari's Ask to Browse — Apple's new suite of powerful, intuitive, and easy-to-use tools helps parents create safer digital experiences for their kids …
In September, our PHP crons started failing with an error that sounded specific: Too many levels of symbolic links That is ELOOP, the error a symlink loop gives you, so the first move was to look for a loop on /srv/apps/app-a/task.php. There was no symlink on that path. Nothing to untangle. Paths and component names below are generic examples, not ours. By the time we looked again, on September 10, the file was readable. The autofs service had just restarted, and the same file answered on /opt/c
New York Times: Jensen Huang took a surprise call from President Trump onstage at the All-In Summit on Monday in LA, where the two dismissed fears of an AI takeover — Mr. Trump called Jensen Huang, Nvidia's chief executive, while Mr. Huang was onstage in Los Angeles and criticized calls to slow down and regulate A.I.
A 20-turn agent run that reads about 59,000 tokens of material gets billed for 656,000 input tokens. Nothing on that invoice is wrong. It's how a stateless model API works, and once you see the shape of it you'll never price an agent job off the rate card again. So let's build one run on paper, price it against a live public price sheet, and see where the money actually goes. Then five ways to cut it, and why I think cost is becoming the skill that separates people who demo agents from people wh
Hugh Langley / Business Insider: Google gives all of its engineers Claude Opus 5 access via Antigravity, and says “Gemini remains our primary and foundational model for internal development” — Googlers have some of the best perks in Silicon Valley, but there's one thing many of them have long been denied: access to Anthropic's Claude.
A teardown of the four formats your coding agents read — what each I have the same standards in every repo I touch: small diffs, tests AGENTS.md is the community's tool-neutral convention: a plain CLAUDE.md is Claude Code's memory file, and the only format with a @import path). This is quietly the most reference a baseline instead of copying it. My first version didn't .cursor/rules/*.mdc is Cursor's per-rule format, and the only one globs: "**/*.test.ts") or make it always-on. The audit found m
SemiAnalysis: A deep dive into on-device and data center inference for robots, including a primer on robot models, deployments, supply chains, the “network wall”, and more — Robot Models, Silicon & DRAM Efficiency, Jetson Thor vs. B300 TCO, Deployments, The Network Wall — Ivan Chiam, Gianluca, Zane Fong, and 3 others
GreyNoise published a number this week that is worth sitting with: eleven organizations, compromised in twenty-six seconds [1]. That figure comes from a campaign the company traced to a threat actor who used hundreds of AI agents — combining OpenAI's Codex and DeepSeek models — to build, test, and refine exploits for two PaperCut NG/MF vulnerabilities, then launch them at scale [1]. The campaign began August 31, 2026. By the time GreyNoise finished mapping it, the actor had compromised at least
Kai Nicol-Schwarz / CNBC: Netherlands-based inference chip startup Euclyd raised a €200M+ Series A co-led by Samsung, Somerset Capital, Scaleup Europe Fund, and Innovation Industries — Samsung has backed a Dutch AI chipmaker in a $231 million funding round, amid a boom in investment in alternatives to Nvidia's graphic processing units.
Every few weeks another "skills" announcement lands. Prompt bundles, client-side toolkits, SDK-level orchestration patterns. I read them the way you probably do — genuinely interested, quietly uneasy. The industry's channel for developer agency in the agent stack has ended up almost entirely on the client side. Which is strange, if you think about where capabilities actually have to run: against your data, your environment, your governance. Server-side. This post is about a gap that sits precise
"Architecture over anecdotes. Performance over promises." Most web-based image editors have a dirty secret: your pixels are someone else's problem. You upload, you wait, you hope the server doesn't compress your life's work into a muddy artifact, and you pray for data privacy. We took a different approach. We deleted the cloud. Meet APIC (Advanced Image Processing Center)—a studio-grade, zero-upload, local-first image processing engine available both in your browser and as a native desktop appli
Tokenizing an asset is the easy part. The token is a claim, and a claim is only worth the obligation behind it. Here is the checklist I actually care about when I review one. Binding: who guarantees 1 token = 1 unit of the asset, over time? A custodian, an SPV, a legal wrapper — not the contract. Redemption: burn the token, release the asset. Who is obligated to deliver, and what happens on a default or a transfer freeze? This is the path most designs leave thin. Proof-of-reserve: verifiable and
The Factory Floor Is Changing, But Not the Way Most Engineers Expected This article is written for automation and industrial engineers working in manufacturing environments in India, who are less interested in automation hype and more interested in how human-robot collaboration is actually reshaping shop-floor design, task allocation, and safety engineering. Rather than treating robots as a labour substitute, we look at what happens when robots and people are engineered to work alongside each ot
Most “agent economy” posts sell you a framework, a Discord, or a token. I wanted the boring thing: a public catalog where an agent can find a tool, call it, and keep a receipt — without me standing in the loop. That surface is live. It is called AIMarket Hub. The URL is modelmarket.dev. Crypto stays off this title on purpose. The shape here is discover → invoke → receipt. Counted 2026-09-15 from /ai-market/v2/stats/live: Invokes 710 (704 ok — 99.2%) External / self 700 / 10 Federated hubs 14 Cap
Hello Dev Community! 👋 It is officially Day 181 of my full-stack engineering journey! Today, I dived deep into JWT Authentication security architectures, specifically focusing on Access Tokens vs. Refresh Tokens! 🔐⚡ Here is a breakdown of why two tokens are better than one and how to structure a secure authentication pipeline. Lifetime: 15 minutes – 1 hour. Usage: Sent in the Authorization header (Bearer <token>) on every API request. Security Strategy: Short expiry window minimizes damage if
Consider these two sentences: "I want to buy a phone with a long-lasting battery." and "Which smartphone should I choose if I don't want to charge it frequently?" An embedding is a numerical representation of a piece of information a word, a sentence, an image, even a sound clip designed so that relationships between different pieces of information can be captured and compared mathematically. Humans understand meaning through context and naturally flexible language the same idea can be expressed
Unnecessary information that's safe to ignore Hi. So I've been away for a couple of weeks. I was up in the remote highlands of Cambodia's Mondulkiri province, where it's cold, quiet, and surrounded by mountains, jungles, and elephants. It was so relaxing that coming back to the city has made me unnecessarily toxic and grumpy. Imagine spending a few days surrounded one of mother nature's greatest creations, only to return to traffic, emails, deadlines, and the unfortunate realization that I'm an
When we open a website, we usually see text, images, buttons, forms, menus, animations, and many other elements. HTML gives the page its structure. CSS controls how those elements look. But something is still missing. What happens when we click a button? What happens when a menu opens? How does a website validate a form, fetch data from a server, or update part of the page without reloading the entire page? This is where JavaScript comes in. JavaScript is a programming language used to add behav
The Quest Begins (The "Why") I still remember the first time I was asked to print the nodes of a binary tree in sorted order during a technical interview. My heart raced — not because I feared the whiteboard, but because I knew the answer lay in something called inorder traversal. I’d seen the term in textbooks, but the recursive version felt like a magic spell: you just call the function on the left, visit the node, then call it on the right. It worked, but I had no idea why it produced the sor
Targetify: An automated, local-first tab tracker with an on-site HUD Body: I built Targetify, a lightweight browser extension that automates tracking based on your active tabs. Core Architecture & Features: Selective Tab Listening: Hooks into browser tab events to detect currently opened tabs. You select your working domains, and it only increments counters when those tabs are actively focused. In-page Floating HUD: Injects a lightweight overlay directly onto chosen sites, giving you instant vis
Here is a plant name, formatted the way most websites do it: Hosta 'Blue Angel' And here it is formatted correctly: Hosta 'Blue Angel' The difference is small, but it's a rule. Botanical names follow two naming codes - the ICN for wild plants and the ICNCP for cultivated ones - and they are specific about typography: Italic: the genus, the species epithet and infraspecific epithets. Pinus mugo subsp. uncinata. Roman (not italic): rank markers (subsp., var., f.), author citations, the hybrid sign
Un approccio “frontend-first” per generare micro‑animazioni credibili, controllare l’output con frame di chiusura e integrare il risultato in una landing senza compromettere performance e UX. Un video per la homepage non deve solo essere d’impatto: deve anche caricare in fretta, funzionare bene su dispositivi diversi, non distrarre in modo eccessivo e possibilmente loopare in modo impercettibile. È qui che un workflow generativo ben guidato diventa utile: non per “fare tutto da zero”, ma per pro
https://github.com/LinklyAI/best-skills There are already thousands of agent skills, but they’re scattered across different platforms. It can be difficult to tell which ones are popular, growing, or still actively maintained. A product teammate at Linkly AI built and open-sourced Best Skills to make that easier. Best Skills collects public data from skills.sh, ClawHub, Tencent SkillHub, GitHub, X, Bluesky, and Hacker News. It updates daily and generates nine Top 100 lists, including: Best overal
You hit git push, your automated Terraform pipeline kicks off, and you head out for lunch expecting green checkmarks. Three hours later, Slack alerts start firing because your runner timed out after burning through precious CI build credits. When you run terraform apply on your local terminal, Terraform relies on an interactive TTY (teletypewriter) session. If a provider encounters a prompt, an unhandled prompt for input, or an interactive approval step, it waits patiently for human keyboard inp
If you spend 8+ hours a day looking at high-DPI monitors, debugging race conditions, and tweaking CSS flexbox, you probably know the feeling of cognitive burnout. A few months ago, I started looking for an off-screen hobby that scratched the same itch as coding—systematic, grid-based, visual, and rewarding—without a single glowing pixel or compile error. That's how I tumbled into the rabbit hole of fiber arts. From across the room, counted cross stitch and needlepoint look nearly identical. Both
Introduction In a modern organization, employees rely on centralized systems every day to access computers, applications, files, and other business resources. Behind these routine activities, Active Directory helps determine who can authenticate, what they can access, and how security events are controlled and recorded. In this hands-on exercise, I strengthened an Active Directory environment by applying targeted security controls through Group Policy. I restricted NTLM authentication, enabled a
Deny by default, or watch your API become someone else's playground. TL;DR: Give every AI agent only the access its task needs, and watch for the intrusion nobody granted. You wire an AI agent straight into a production API with an admin key, because scoping down every tool call felt like tedious busywork you'd get to later. As always, later never comes. Then a fetched webpage, a malicious skill, or a poisoned dependency slips an instruction into the model's context, and the agent obeys it with
I did not expect to find a state machine in a religious text. I picked up Srimad Bhagavatam expecting mythology — gods, demons, cosmic battles, the usual. What I actually found, buried in the philosophical cantos, was something that looked suspiciously like a spec document. Inputs, states, transitions, an event loop, even something that functions exactly like a write-ahead log. I kept rereading passages thinking, "wait, this is just describing a system," and eventually I stopped resisting that r
Hermano estructural de Most CSS Resets Solve the Wrong Problem misma distinción, diferente capa. También disponible en Inglés Un sitio en producción se despliega. El sistema de diseño reconstruye la tipografía, el espaciado y los estados mediante clases de utilidad. El QA visual aprueba en escritorio. El QA visual aprueba en móvil. La maquetación parece intencional, meditada, correcta. Entonces alguien presiona la tecla Tab. Nada se resalta. Ningún contorno marca el enlace, el botón o el campo d
A smart vending machine carries two codebases. One is firmware in the vending machine controller, or VMC, and the other is a cloud platform that collects what the VMC reports. The steps below follow the order a working build takes: requirements, architecture, firmware, payments, telemetry, dashboard, and AI. Smart vending machine software is the stack that controls machine hardware, processes cashless payments, and reports audit and health data to a server. On top of that, it gives operators rem
Structural sibling to Most CSS Resets Solve the Wrong Problem same distinction, different layer. Also available in Español A production site ships. The design system rebuilds typography, spacing, and states through utility classes. Visual QA passes on desktop. Visual QA passes on mobile. The layout looks intentional, considered, correct. Then someone reaches for the Tab key. Nothing highlights. No outline marks the link, the button, the form field currently under keyboard control. The interface
Originally published on DevToolHub. What is RAG, in one sentence? A way to make an LLM answer questions using documents it was never trained on, by searching those documents for relevant passages and handing the model the results as context before it generates a response. No retraining, no fine-tuning — just a search step bolted onto the front of a normal prompt. The term comes from a 2020 Facebook AI Research paper that described it as combining "pre-trained parametric and non-parametric memory
TL;DR: AI21 Labs, the Israeli NLP pioneer behind Jurassic and Jamba, is navigating a turbulent but transformative period in 2026. After a massive $300M funding round in mid-2025 and strategic partnerships with AWS and Google Cloud, the company has pivoted from standalone LLM sales to enterprise orchestration via its new Maestro platform. However, the path hasn't been smooth: a significant 61% workforce reduction in May 2026 signaled a hard pivot toward efficiency. Now, rumors of an acquisition b
This is one of those articles that I wanted to write for many days, but I kept delaying it until, a few days ago, I read a blog by one of my friends, @francistrdev, about the importance of networking. He shared several useful tips on how to network, but while reading it, I realised that there was a root cause behind why some devs struggle with networking skills. So,I took this opportunity to explore this issue through my blog. It's not that being introverted is a problem. There are plenty of int
On September 15, India — along with Sri Lanka and Tanzania — celebrates Engineer's Day, marking the birth anniversary of Sir M. Visvesvaraya. He was responsible for major irrigation and water-management projects, including the Krishna Raja Sagara Dam, and pioneered an automatic water-floodgate system first installed at the Khadakvasla Reservoir. He never called himself a founder. He was too busy building things that had to actually hold water. I bring him up because somewhere between AI coding t
In the world of Go programming, security isn’t just a feature—it’s a foundational requirement. Yet, even seasoned developers often overlook the subtle ways in which code can expose systems to risk. The principle of least privilege (PoLP) emerges as a critical defense mechanism, ensuring that components of a system have only the permissions necessary to perform their tasks. This article dissects how applying PoLP in Go code can mitigate common vulnerabilities, focusing on four key areas: database
The Nautilus DevOps team has installed and configured new Jenkins server in Stratos DC which they will use for CI/CD and for some automation tasks. There is a requirement to add all app servers as slave nodes in Jenkins so that they can perform tasks on these servers using Jenkins. Find below more details and accomplish the task accordingly. Click on the Jenkins button on the top bar to access the Jenkins UI. Login using username admin and password Adm!n321. Add all app servers as SSH build agen
We're excited to launch the new Inspector - Developer Tools for AI agents! Agents broke the debugging model we've relied on for decades. They stream tokens, call tools mid-response, delegate to subagents, are long-running by design and so on. The whole thing is a black box. The Inspector changes this. It runs inside your app and shows every event between your agent and your frontend as it happens, with the failure linked to the event behind it and an isolated Playground to fork any saved convers
Stop merging because the whole suite is green. An agent that writes both the patch and the tests can add passing cases that never discriminate a fault. Merge only when three trust classes independently agree: human-owned oracles still fail known-bad fixtures, property checks pass on recorded seeds, and flaky tests are frozen out of the verdict. That is an intersection, not a union. A union lets the largest, noisiest layer hide a silent oracle. Agent patches usually land with extra tests. Those t
Quickstart tutorials fail in a predictable way when a model invents commands that never ran in continuous integration. The durable fix is to freeze every command block from a reviewed fixture manifest and let the model draft only surrounding prose. Humans must still sign secret handling, abort behavior, host assumptions, and teardown, because those claims are operational rather than syntactic. Teams that invert this split publish samples that look complete and then break on the first missing env
📝 Originally published (in Japanese) at forge.workstyle.tech. The avatar connects when the page is opened and responds when spoken to. Behind the scenes, WebRTC connects the browser and voice pipeline. However, after restarting the server, the avatar stopped responding. 👤 (speaking) 🤖 (no response) 👤 (speaking again) 🤖 (no response) Visually, everything seems fine. The avatar is standing, and the microphone button is still ON. Visitors won't notice that it's "broken" until they reload the p
It happens in about forty seconds, usually on a Thursday. You are wiring a sync in a sandbox. The write fails on a permission you did not expect. You have three other things to do that day, so you grant the integration user a broader role to get past it, make a mental note to narrow it later, and ship. Nobody narrows it later. Narrowing it has no deadline, no ticket, and no owner, and the integration works, which is the whole problem. Working software generates no pressure to change. Two years o
Our iOS build broke after an Xcode update, and it greeted me with the least helpful error message I've read in a long time: Cannot convert return expression of type 'MultiplatformLoginViewModel.State' to return type 'MultiplatformLoginViewModel.State' Same type. Twice. Convert it to itself, apparently. Here's what was actually going on, and the two ways out. We run a Kotlin Multiplatform project: business, integration and presentation logic all shared. The screen ViewModels are shared too, while
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For years, client-side AI has suffered from a dirty secret: modern laptops, smartphones, and edge devices ship with dedicated Neural Processing Units (NPUs) capable of tens of tera-operations per second (TOPS), yet web applications leave this silicon almost entirely idle. When web developers attempt to run machine learning models inside the browser, they fall back on WebGL or WebGPU. While WebGPU is a massive leap forward for rendering and general-purpose compute, it treats an NPU like a black b
Every global company-data API stops at Europe. Stripe's data products, OpenCorporates, the big aggregators — none of them cover Saudi Arabia, UAE, Kuwait, Qatar, Bahrain, Oman, or Lebanon. The data exists, but it's scattered across seven government portals, most of them Arabic-only, some permission-only. For a developer, "verify this Gulf company" means manually hunting through portals and PDFs. So I built the thing that should have existed. One endpoint: POST /api/v1/verify-company returns: { "
Every cross-system integration I have debugged in the last two years failed the same way, and it was never the way the logs suggested. The logs said success. The API returned 200. The retry counter was zero. And the field in the target system still held the old value. This is not an edge case. It is the default behaviour of every major CRM and ticketing API, and if your pipeline treats a 2xx as proof of a write, you have a silent data-loss bug you have not found yet. That distinction sounds peda
In an era where generative AI can create hyper-realistic synthetic media, distinguishing truth from fabrication has become a critical challenge. To address this, I recently developed DF-Analyzer (Deepfake Image Analyzer), a web-based digital forensic dashboard designed to analyze media metadata, calculate manipulation risks, and provide expert AI consultations. However, building the application's logic was only half the battle. I needed a robust, secure, and fast platform to deploy the frontend
Today I finally tracked down a frustrating bug in our office-chat desktop app. When a user clicked a system notification, the app didn't open the right chat thread — or sometimes didn't open at all. It felt like a classic “works on my machine” issue, but it was happening for several users on Windows and macOS. The app is built with Tauri (Rust backend) and Svelte (frontend). Notifications are triggered from the Rust side using the tauri-plugin-notification API. The click event is supposed to emi
Running into Joins can be one of the most daunting and confusing parts for anyone new to SQL. In this articles we will explore what they are, what types exist, when to use them and why they matter. Lets dive in, A join combines rows from two or more tables based on a related column between them. Relational databases like PostreSQL split data into separate tables to avoid duplication , so joins are how you stitch that data back together when you need it. For example, you might have a customers ta
I recently spent far more time thinking about QR codes than I ever expected. The reason was a simple design problem. QR codes are incredibly useful, but visually they are often treated as something that gets added after the design is finished. A poster can be beautiful. A product package can be carefully art-directed. A campaign image can have a strong visual identity. And then a black-and-white QR code gets dropped into the corner. So I started experimenting with a different question: What if t
A client came to me with a request that sounded simple: "We have 20 years of data in our database. We want our managers to ask Claude questions and get reports. Marketing, HR, R&D, Production, Procurement, Sales — all of them." No dashboards, no BI tool, no SQL training. Just: type a question, get an answer from the actual data. The database is Azure SQL. It's been growing since the mid-2000s. It has hundreds of tables — real business data, but also legacy tables nobody remembers, staging tables
Data Viewing and Decoding Capturing is only the beginning; understanding is what counts. This article shows you how to read a request after opening it: switch the viewing mode independently on both the request and response sides (Structured / Pretty Text / Hex / Auto Detect), automatically decompress compressed data, pretty-print JSON/XML/forms/protobuf, and preview images, videos, and audio directly in the details. Most of the time you don't need to configure anything—just open it and you'll se
Traditional RAG systems retrieve chunks and answer from scratch every time. LLM Wiki takes a different path: it analyzes documents once, generates persistent wiki pages with full source traceability, and caches intermediate results so incremental updates cost pennies instead of dollars. The result is a cross-platform desktop application (19,536 stars, trending #10 on GitHub TypeScript) that builds and maintains a structured knowledge base rather than ephemeral retrieval. Most RAG pipelines chunk
Every spreadsheet AI demo starts with a clean table and a friendly request: "Show me the trend and make a chart." The result is quick, polished, and often plausible. That is the wrong first test. Before asking an AI assistant to explain a business number, give it a question whose answer you already know. If it cannot reproduce a verified total, explain the range it used, and distinguish a definition from a calculation, it has not earned access to the questions you do not know how to check. Make
There is a piece of silicon in your laptop that your web app has never once used. If you bought a machine in the last couple of years, it almost certainly has an NPU: a small, power-efficient accelerator built specifically for running neural networks. Your OS uses it. Native apps use it. The browser, until recently, had no way to reach it at all. WebGPU got us closer. Running a model through WebGPU means real hardware acceleration instead of grinding through WASM on the CPU, and for a lot of wor
A Tour of Go is one of the first resources many developers encounter when learning Go. It is interactive, concise, and closely connected to the Go ecosystem. But for developers who are more comfortable learning technical concepts in their native language, language can still be a barrier. That is why I started maintaining go-tour-i18n, an unofficial, community-maintained multilingual version of A Tour of Go. Today, the project has 11 translations running in production: Brazilian Portuguese Dutch
📝 Originally published (in Japanese) at forge.workstyle.tech. An avatar that interacts through voice receives the following utterances: 👤 Are there any articles about streaming on YouTube? → Article identified 👤 Can you explain that in more detail? → Only responds with "Yes, I'll explain in detail." 👤 Wait, you're not explaining in detail? → Only responds with "Sorry, just a little more..." Despite identifying the subject in the previous turn, the context is lost in the next turn. While this
Full Blog on : https://www.iamleopard.com/blog/don-t-look-up-what-happens-when-the-ai-race-becomes-more-important-than-the-warning The most unsettling part of the current AI debate isn’t that someone It’s that some of the people building it are now asking whether we There is a scene in Don’t Look Up that has stayed with me. A scientist discovers that a comet is heading toward Earth. The mathematics are straightforward. The danger is enormous. The solution is technically possible. And yet, someho
Seeing how code grows up and turns into something that users depend upon daily has always been among the greatest joys of being a software engineer. During my career, I had a chance to develop enterprise-scale applications, workflows automation systems, and software for fintech businesses. But the common thing behind all these projects is one: creating good software is not about writing a code, but about understanding people, processes, and business requirements. We software developers often thi