🌍 Dev.to

How to write a project brief that actually helps you hire a Next.js developer

Writing a good brief before you hire a Next.js developer is the single thing that separates projects that land on time from ones that drift for months. After working through 15+ headless builds — some I briefed myself, many I was handed — the pattern is consistent: the brief determines the outcome more than the developer does. The four mistakes I see in almost every agency brief 'Just like our current site, but faster.' This shows up verbatim more than you'd expect. It tells a ...
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You Already Know What Your First AI Rule Should Be. You Just Have Not Written It Down Yet.

Every developer who works with AI regularly has a list of corrections they make. Not a written list. A mental one. The things they fix after every session. The patterns the AI gets wrong consistently. The naming that never quite matches. The component that always ends up doing too much. The state that keeps ending up in the wrong place. Those corrections are not random. They are consistent. And consistent corrections are rules that have not been written down yet. You already know what y...
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Kinesis Data Firehose Is Not a Silver Bullet: How Undocumented Partition Key Limits Broke Our Real-Time Analytics Pipeline

Our real-time data pipeline was failing due to mysterious throughput limits. The culprit? A little-known Kinesis Data Firehose limitation that has nothing to do with shards or provisioned throughput. In this scenario, we expose the undocumented partition key limit that nobody talks about. Introduction to Kinesis Data Firehose Kinesis Data Firehose is a fully managed service that captures, transforms, and loads data into Amazon S3, Amazon Redshift, Amazon Elasticsearch, and Splunk...
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rdev-go-api-template: Production-ready Go API Scaffolder & CLI Generator

rdev-go-api-template 🚀 The Concept A unified Go development utility that functions simultaneously as a production-ready architectural blueprint and an automation tool. Tailored specifically for high-performance Go-Gin HTTP routing and Bun ORM data layers, it builds a secure backend foundation and automates continuous vertical-slice feature generation. 🛠️ Why, What, and How Why Manual backend bootstrapping and database layer setup introduce rep...
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Weekly roundup: Password strength, self-serve BAA, and AI updates

This week on the Appwrite blog, we shipped new Auth controls, made BAA acceptance self-serve for Pro organizations, covered Anthropic’s latest Claude models, and shared a full breakdown of everything that landed in May. Here’s everything that went live this week. Product announcements Announcing Password strength Appwrite Auth now lets you enforce password strength with minimum length and character requirements. You can set the smallest number of characters a p...
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I open-sourced every Binance and OKX 2026 fee tier as JSON (+ a calculator)

If you've ever written a backtest or a fee-aware order router for Binance or OKX, you've hit this wall: the exchanges publish their fee schedules as HTML tables that change without notice, and there's no clean machine-readable source. So you end up hardcoding 0.0004 somewhere and forgetting about it until your live PnL doesn't match your sim. I got tired of that, so I open-sourced the whole thing. The repo github.com/jack0752168/crypto-exchange-fee-data (MIT) Every VI...
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The Pentester’s Guide to Finding CBC Bit Flipping Vulnerabilities

If you spend enough time poking at web applications, you’ll eventually run into a target that handles session management poorly. You’ll intercept a request, look at the cookie, and see a massive, encrypted string. For a lot of testers, encrypted state data is a dead end. If you can’t read it, you move on. But if that application is relying on CBC (Cipher Block Chaining) mode without implementing an integrity check (like a MAC), that encrypted cookie isn't a dead end. It’s an attack vector....
HackerNews

NetNewsWire Status

Article URL: https://inessential.com/2026/06/15/netnewswire-status.html Comments URL: https://news.ycombinator.com/item?id=48565685 Points: 53 # Comments: 9
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pdf-pagenum: Fix Messy macOS Preview Page Numbers in PDFs from the CLI

A pip-installable CLI tool that auto-centers off-center page number annotations created by macOS Preview, or batch-adds new ones — with smart content avoidance and landscape support. The Problem If you've ever used macOS Preview to add page numbers to a PDF (via the text annotation tool), you know the pain: numbers land wherever you drop them, never centered, and manually positioning dozens or hundreds of them is soul-crushing. Especially when the PDF has mixed portrait and lands...
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I Stopped Using Heavy IDEs. AI Became My IDE.

I used to think a serious developer needed a serious IDE. Big project? Open PhpStorm. Design work? Open Photoshop. Need every refactor, every inspection, every plugin, every panel, every button? Load the heavy tool and wait for the machine to breathe again. But something changed. Not overnight, and not because those tools suddenly became bad. They are still powerful. The change is that AI started taking over the parts of the IDE I actually needed most. Today, I spend more time in VS Cod...
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How to Call Windows Native APIs in Electron

How to Call Windows Native APIs in Electron Calling Windows native APIs in an Electron app feels like wanting to see the ocean but only having a map. After some trial and error, I've found a few paths—writing this article serves as a record and a guide for others who might follow. Background When building Electron desktop applications, you inevitably need to interact with the operating system. On Windows, these requirements are quite common: Calling Windows Store API...
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AI Made Development Faster. Testing Needs to Stop Living in Spreadsheets.

AI agents are making software development faster. That is great. But there is a problem I do not think we are talking about enough: testing is not speeding up in the same way. In many teams, testing is still held together by spreadsheets, meeting notes, screenshots, chat messages, and the memory of a few experienced QA engineers. That worked when delivery was slower. It becomes fragile when one developer can use multiple agents to change code across several modules in a singl...
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Block the Merge if the Model Isn't Ready": Shifting Local AI Evaluations Left with CI Gates

We’ve all heard "it works on my machine," but when it comes to AI-driven features, that phrase is a recipe for disaster. You can have a perfectly tested agent today, but if you upgrade your base model or change your quantization strategy tomorrow, you might inadvertently kill your agent's reliability. You can’t afford to wait for production to find out your agent is hallucinating or failing its tool calls. This is why we built the headless QuantaMind CLI—to shift AI evaluation left into your...
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Why AI Agents Make Me Reach for SQLite

Lately I keep reaching for SQLite where, before, I'd have reached for Postgres without thinking. It started with small services, then a bigger question: could a multi-tenant SaaS actually run on SQLite? And for AI agents specifically, isn't a local, embedded database the more natural home for their state? Turso is the version of this stack I've found most compelling so far, especially when paired with Cloudflare. I wish D1 would reach embedded-replica parity with Turso, and that AWS offer...
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Few-Shot Learning with LLM: A Deep Dive

Few-shot learning with large language models is one of the most practical ways to steer model behavior without updating weights. By embedding task-specific examples directly into the prompt, developers can turn a general-purpose foundation model into a domain-specific classifier, parser, or reasoning engine. The technique relies on in-context learning, where the model infers patterns from exemplars rather than from gradient updates. Because it requires no training pipeline, few-shot prompting is...
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Vibe citing: how KPMG used AI to write a report about AI and AI made them look like fools

vibe citing: how KPMG used AI to write a report about AI and AI made them look like fools by t474-r0b07 There are companies that charge you to tell you how to use AI responsibly. KPMG is one of them. 250,000 employees. 138 countries. Decades advising governments and corporations on how to avoid costly mistakes. In October 2025 they published a report titled "Total Experience: Redefining Excellence in the Age of Agentic AI" . They wrote it with AI. The AI invented 88% ...
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The Hidden Linux Routing Issue That Broke My Deployment

The deployment should have taken a few minutes. The application was running, DNS was configured correctly, and the domain was already pointing to the server's public IP. Caddy was configured as a reverse proxy and was listening on ports 80 and 443. Every item on my deployment checklist appeared healthy. Yet every Let's Encrypt validation attempt kept failing. The error looked simple enough: authorization failed timeout during connect likely firewall problem At first, I...
The next bottleneck after AI writes your code is reviewing the docs it writes
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The next bottleneck after AI writes your code is reviewing the docs it writes

Coding agents draft specs, architecture docs, changelogs, and README updates in seconds — but a human still has to judge the quality of all that output. The bottleneck shift A year ago, the typical workflow was: you write a spec, you get comments, you revise, then you implement and get code review. Humans did most of the writing and coding. Now, agents produce first drafts of design docs, API references, runbooks, and onboarding guides — and they do it in seconds. Code impleme...
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Fine-Tuning AI Models for Specialized Tasks

🚀 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 . <span>Tutorial</span> <span>Advanced</span> <span>⏱ 45 min read</span> <span>© Gate of AI 2026-06-16</span> Learn how to fine-tune large language models (LLMs) to enhance communication capabilities in...
How I Use Qwen Code Slash Commands to Build Achu App
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How I Use Qwen Code Slash Commands to Build Achu App

In this blog post, we will see how I use Qwen Code's slash commands and workflow strategies to build Achu my screenshot beautifier app without burning through tokens or losing context mid-session. If you haven't heard of Achu , it's a desktop app built with Electron + React + TypeScript. It does screenshot beautification, Privacy Guard (offline OCR redaction), Auto-Vibe (palette-extracted backgrounds), and an AI Bug Agent with GitHub integration. It's a side project I'm genuinely proud of,...
find and xargs: The Unix Pipeline That Turns Discovery Into Action
🌍 HackerNoon

find and xargs: The Unix Pipeline That Turns Discovery Into Action

find searches directory trees by name, type, size, permissions, age, and ownership. xargs takes those results and passes them to any command you want to run. Together, they power the discovery-to-action pipeline that shows up in every phase of security work — SUID hunting, credential scanning, incident response, and web root auditing. This article covers every practical flag, fixes the -o precedence bug most tutorials get wrong, and explains the null-delimiter pattern that makes the whole pipeli...