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Pet Imagination by Inithouse: our AI pet portrait pipeline, 9 styles under 60 seconds

At Inithouse, a studio shipping a growing portfolio of products in parallel, we build tools that do one thing and do it fast. Pet Imagination generates AI portraits of pets in 9 art styles. Upload a photo, pick a style, get your portrait. No signup, no waiting around. The whole thing runs under 60 seconds. This post breaks down how the pipeline works: the prompt skeleton, the style matrix, and the tricks we use to keep latency low. The pipeline The flow has four stages: ...
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From Source Control to Supplier Control: Building TPRM Through a Developer Lens

If you're coming from engineering like I was, Third-Party Risk Management feels weirdly... analog at first. No version control, no CI/CD pipelines, no unit tests for vendor compliance. Just spreadsheets, PDFs, and hope. But here's the thing: after debugging race conditions and production outages, vendor management starts looking familiar. You're dealing with dependencies again—just ones that come with legal contracts instead of package.json files. The TPRM Workflow (Programmer Edi...
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Voilaa! — Turning Any YouTube Video into an Interactive Learning App with Google Gemini

Voilaa! — Turning Any YouTube Video into an Interactive Learning App with Google Gemini This post is my submission for DEV Education Track: Build Apps with Google AI Studio . What I Built Voilaa! is a full-stack educational playground that transforms any YouTube video into a rich, interactive learning experience — think live quizzes, flashcard decks, formula simulators, and data visualizations — all generated on-the-fly by Google Gemini AI. The idea is simple: past...
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🧠 AI Context Engineering — Why Great AI Systems Need More Than Great Prompts (Part 1)

A couple of years ago, almost every AI discussion revolved around one thing: Prompt Engineering. People shared prompts like: "Use this prompt to become a senior software engineer." "Use this prompt to write perfect SQL." "Use this prompt to generate production-ready code." The assumption was simple: Better prompt = Better AI output. While prompts certainly matter, engineers building production AI systems quickly realized something important: The prompt i...
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Heyo DEV Crowd!👋 I'm Sorin, the maker, and this is Tamadoggo.

Tamadoggo started with my own two dogs, Frankie and Carra 🐶 I kept forgetting the small things: when a limp started, what we'd changed about their food (Frankie is super allergic, so her food changes often), and all the funny little moments that make them them . The pet apps I tried were basically medical trackers: useful, but cold. They also made me feel a bit guilty for every gap in the timeline. I wanted the opposite: a warm journal of a life that just happens to be smart. ...
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You pay for Claude, Codex, and Cursor every month.

The bill gives you one number. It never tells you that half of it went to conversation instead of code. CodeBurn does. Every token and dollar, by task, model, and project. 30 AI tools, one screen, all local. npx codeburn
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OpenAI and Broadcom's Jalapeño, a Custom Inference ASIC: Inference ASIC vs GPU

What: The OpenAI and Broadcom Jalapeño announcement (June 24, 2026) is OpenAI's first custom LLM-inference ASIC — a reticle-sized compute chiplet paired with HBM, built to run models rather than train them. The idea it makes concrete is an inference-optimized ASIC versus a general-purpose GPU . Why: At decode time the bottleneck is usually moving data, not doing math , so a chip co-designed around that movement can serve the same tokens using far less power per token — early test...
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RHoiScribe: Not Teaching AI HOI4 — But Teaching It Not to Break Things

If you’ve ever worked on a Hearts of Iron IV mod, you’ve probably run into a very familiar kind of frustration: The AI output looks perfectly reasonable. The structure is correct, the syntax is correct, even Paradox Script style is convincingly imitated. And then you launch the game—and it calmly informs you that none of this world exists. The issue is rarely that AI cannot write. It is that it tends to ignore a very important fact: In HOI4 modding, there is a wide gap between “l...
Luminary: a NextJS migration story.
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Luminary: a NextJS migration story.

Introduction We're back. After our four-week sprint that took Luminary from a blank repository to a fully functional community platform built in vanilla HTML, CSS, and JavaScript, we regrouped to migrate the entire project to a modern framework. Luminary is a community-powered directory and news platform celebrating women who are driving change across all fields — business, science, arts, activism, sport, technology, agriculture, education, and more. It allows anyone to nominate or self...
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I built TokenBoard to track AI coding token usage without uploading prompts or code

AI coding tools are getting good enough that I wanted a simple way to understand usage across real work, not just guesses from billing pages. So I built TokenBoard: https://token-board.com/ It is a small leaderboard and personal stats page for AI coding usage. The local CLI currently supports Codex and reports aggregate metrics such as: tokens sessions messages models estimated cost active days The main privacy rule is simple: TokenBoard does not upload prompts or cod...
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How I Built a Free Skill Exchange Platform with AWS DynamoDB and Vercel in 6 Days

While thinking about how people learn new skills, I noticed something interesting. There are thousands of free tutorials online and hundreds of paid courses, yet many people still struggle to learn. The biggest issue isn't always access to content—it's having someone to guide you, answer questions, and keep you accountable. At the same time, almost everyone knows something that someone else wants to learn. That made me wonder: instead of paying for courses, what if people could exchange kn...
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Truth Is Dead. Long Live Probabilistic Fact-Checking.

The End of Binary Truth: Engineering Probabilistic Reality Filters Introduction The landscape of digital truth has undergone a seismic shift. For years, the battle against misinformation focused on identifying tell-tale "deepfake signatures"—digital artifacts that betrayed synthesized media. Our recent reporting from Black Hat Asia, however, paints a stark new reality: next-generation AI generators have achieved photorealism and audial perfection, rendering traditional forensic ...
🌍 Lobsters

OpenZL

Comments
HackerNews

Foreign funds help make housing unaffordable: research

Article URL: https://news.mccombs.utexas.edu/research/foreign-funds-help-make-housing-unaffordable/ Comments URL: https://news.ycombinator.com/item?id=48693420 Points: 88 # Comments: 26
HackerNews

Anatomy of a Failed (Nation-State?) Attack

Article URL: https://grack.com/blog/2026/06/25/dissecting-a-failed-nation-state-attack/ Comments URL: https://news.ycombinator.com/item?id=48694631 Points: 70 # Comments: 12
HackerNews

OpenTTD 16.0-Beta1

Article URL: https://www.openttd.org/news/2026/06/25/openttd-16-0-beta1 Comments URL: https://news.ycombinator.com/item?id=48695149 Points: 182 # Comments: 33
HackerNews

IBM MCGA Gate Array Reverse Engineering

Article URL: https://github.com/schlae/IBM_MCGA Comments URL: https://news.ycombinator.com/item?id=48695363 Points: 37 # Comments: 7
HackerNews

Fintech Engineering Handbook

Article URL: https://w.pitula.me/fintech-engineering-handbook/ Comments URL: https://news.ycombinator.com/item?id=48696982 Points: 66 # Comments: 16
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Fix GitHub Copilot Terraform Security Risks Before They Hit Prod

Originally published on kuryzhev.cloud Copilot just autocompleted your security group with port 0–65535 open to the world — and terraform validate said it was fine. That's the GitHub Copilot Terraform security problem in one sentence: the suggestions are syntactically valid, pass every local check, and still destroy your security posture on first apply. We've seen it happen across three separate teams in the last six months, and the pattern is always the same: nobody noticed until a c...
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The Internet's Biggest Lie: Your Password Is Never Actually Verified

What if I told you that the password you type during login is never actually compared with the one stored on the server? Every day, billions of people unlock their digital lives with a password. Whether it's signing into email, online banking, GitHub, or a social media platform, the process feels almost effortless. You type your credentials, click Sign In, and within seconds you're authenticated. It seems obvious what happens next. Your password travels to the server, the server checks ...
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The ChatGPT Invisibility Bug: Why High-Quality Content Fails to Index in LLM Search

You built a fast site. Clean HTML. Proper schema. Good content. You checked your Google Search Console — indexed, ranking, healthy. Then someone tells you ChatGPT has no idea your site exists. This is not a content problem. It is an eligibility problem — and most developers confuse the two. Eligibility vs Visibility Before your site can appear in AI-generated answers, it needs to satisfy two completely separate conditions: AI Search Eligibility is whether an AI...
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HackTheBox: FireFlow Writeup

Executive Summary FireFlow is a Linux machine running a fictional "Task Force Nightfall" intelligence platform. The web application exposes a Langflow instance ( flow.fireflow.htb ) with a public flow playground. The flow engine version (1.8.2) is vulnerable to CVE-2026-33017 - an unauthenticated RCE via the /api/v1/build_public_tmp/{flow_id}/flow endpoint, which executes attacker-supplied Python without sandboxing. This gives us a shell as www-data . Environment variable enumeration le...
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Persistent memory for Ollama, in about five minutes

Originally published on the Sieve blog . Sieve is an open-source (Apache 2.0) context-reduction proxy — I work on it. This is a how-to, not a pitch; the steps work against any Ollama setup. Ollama gives you a local LLM endpoint that is fast, private, and completely stateless. Close the chat, and everything you told the model is gone. Keep the chat open, and every turn re-sends a growing history until the context window fills up. Ask a local model about something it was never told, and — d...
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I Built an ASCII-to-Text Converter Because I Kept Seeing Numbers Instead of Words

The First Time I Saw ASCII Codes I was looking at a piece of data that looked like this: 72 101 108 108 111 44 32 87 111 114 108 100 33 My first thought was: "What am I supposed to do with this?" It looked like a random list of numbers. But it wasn't random at all. Then I Converted It One click later, it became: Hello, World! That was my "aha" moment. Computers weren't storing random numbers... They were storing text in a way t...