🌍 Dev.to

Discovering PII Inside InterSystems IRIS

Data privacy regulations such as GDPR, LGPD, and HIPAA demand that organizations know exactly where Personally Identifiable Information (PII) lives inside their databases. Yet in practice, most teams rely on manual inventories, tribal knowledge, or external scanning tools that require data to leave the database engine β€” a process that itself creates privacy and security risks. This article presents an MVP that takes a different approach: it runs PII detection inside InterSystems IRIS using ...
🌍 Dev.to

Working With AI: What Actually Works For Me

I think a lot of people still imagine AI coding as opening ChatGPT, asking for code, and copy-pasting the result. That's not really how I work anymore. The biggest shift for me is that planning matters far more than coding. Earlier, execution was expensive, so most of the effort went into writing code. Now execution is cheap. I can have an agent implement something in minutes. The hard part is making sure the plan is correct. Most of my effort goes into thinking through the architecture...
🌍 Dev.to

Comparable vs Comparator in Java

In Java, sorting is an important operation when working with collections such as ArrayList, LinkedList, and other data structures. For primitive data types, Java already knows how to sort values. However, for custom objects like Student, Employee, or Product, Java needs instructions on how objects should be compared. To achieve this, Java provides two interfaces: Comparable – Used for natural sorting. Comparator – Used for custom sorting. Comparable Interface Comparable is an i...
🌍 Dev.to

Building an Instagram-powered app without managing scraping infrastructure

When I started building , I needed reliable access to Instagram data. Like many developers, my first instinct was to use a self-hosted solution such as instagrapi. It worked for experimenting, but once I started depending on it for production workflows, I spent more time maintaining the scraper than building features. Eventually I switched to HikerAPI, a hosted REST API for Instagram. This post isn't about saying one approach is universally betterβ€”it's about why it ended up being the bette...
Fast Automatic ML Hyperparameter tuning Using Optuna (w. MLflow model registry and IRIS DB)
🌍 Dev.to

Fast Automatic ML Hyperparameter tuning Using Optuna (w. MLflow model registry and IRIS DB)

This article presents a straightforward approach to automatically and efficiently tune hyperparameters for machine learning models using Optuna as the optimisation framework. We explore how to use both Optuna’s native storage options and InterSystems IRIS as a database backend to track the progress of hyperparameter searches. We also show how MLflow can be used to monitor experiments and manage models through its tracking and model registry UI. This article is based on this Kaggle Notebook ,...
🌍 Dev.to

Skills.sh Is the npm Moment for AI Agents (And Most Developers Haven't Noticed)

I started building AI agents about two years ago. Not toy demos, actual production features inside a health-tech product. And every single project started the same way. Write the tool-calling wrapper. Handle the edge cases in structured output. Figure out how the agent should read a PDF without hallucinating page numbers. Build the retry logic. Wire up the logging. Same boilerplate. Every time. From scratch. The frustrating part is that every developer building agents is doing this too....
I built an Aadhaar QR reader that works 100% offline β€” no server, no data leak
🌍 Dev.to

I built an Aadhaar QR reader that works 100% offline β€” no server, no data leak

Every time I handed my Aadhaar card to someone for KYC, one thought kept nagging me: Where is this data actually going? Most "digital Aadhaar verification" tools out there silently upload your card details to their servers. You have zero visibility into what gets logged, stored, or sold. For something as sensitive as a national biometric ID, that's a pretty terrible default. So I built AadhaarQRCodeReader β€” a web app that scans the Secure QR on any Aadhaar card, decodes all th...
🌍 Dev.to

Mid-Conversation System Prompts: Steering an Agent Without Breaking the Cache

Here is a problem I hit building a long-running agent: I needed to inject a new instruction partway through a session ("the project is Go, write Go") but editing the top-level system prompt to add it invalidated my entire prompt cache. Every cached turn got reprocessed at full price. The fix is a feature that landed in the current Claude models: mid-conversation system messages. Here is what it is and when to use it. The setup that breaks A long agent session has a large, stable ...
🌍 Dev.to

The Reference Check Questions Nobody Asks AI Vendors

I have done this process wrong more times than I would like to admit. You call the references the vendor sends you. Three customers, all happy, all articulate, all saying roughly the same things. You hang up feeling good. You sign. Six months later you are dealing with a support team that responds every 72 hours and a renewal quote that is 40% higher than year one. The reference check told you nothing useful. Not because the customers lied. Because you asked the wrong questions. Here is...
🌍 Dev.to

From Invoice to Owner: A Practitioner's Guide to Request-Level AI Cost Attribution

TL;DR Provider invoices aggregate by model and billing period. They cannot tell you which team, product, or agent caused a cost spike. Request-level AI cost attribution links every API call to structured owner metadata (team, product, environment, trace ID) so investigations take minutes, not days. Three approaches exist: provider dashboard, gateway log enrichment, and application trace attribution. They differ sharply in setup cost and query granularity. Gateway log enrichment is th...
🌍 Dev.to

I Moved Everything to a $4.50 Hetzner Box. Here's What Broke and What Didn't.

Last year my side project was running on AWS. A t3.small EC2 instance, an RDS PostgreSQL db.t3.micro, an S3 bucket, and a CloudFront distribution. Total bill: $47/month for an app with 200 daily users. Then someone on Reddit told me to look at Hetzner. I now run the same stack on a single CAX21 (4 vCPU ARM, 8GB RAM, 80GB SSD) for €5.49/month. Here's exactly what happened. The Migration What I was running on AWS: Node.js API (Express) PostgreSQL database Redis for sessions Nginx reverse...
🌍 Dev.to

How we became the first Indian hosting company to deploy Cloudflare Magic Transit

I run a hosting company. I'm also a BCA student. These two things coexist somehow. GigaNodes started in 2022 as a game server hosting brand β€” Minecraft, FiveM, ARK, the usual. Over time it grew into a proper VPS and dedicated server operation under GigaNode Technologies Private Limited, with AMD EPYC 7C13 hardware co-located at Yotta DC Noida. Earlier this year we did something I haven't seen any other Indian hosting provider do: we deployed Cloudflare Magic Transit across our entire netwo...
HackerNews

Unicorn – The Ultimate CPU Emulator

Article URL: https://www.unicorn-engine.org/ Comments URL: https://news.ycombinator.com/item?id=48553450 Points: 35 # Comments: 10
HackerNews

Mechanical Watch (2022)

Article URL: https://ciechanow.ski/mechanical-watch/ Comments URL: https://news.ycombinator.com/item?id=48553550 Points: 423 # Comments: 75
HackerNews

Google Chrome update will close the door on ad blockers

Article URL: https://9to5google.com/2026/06/15/google-chromes-next-update-will-mark-the-end-of-popular-ad-blockers/ Comments URL: https://news.ycombinator.com/item?id=48555244 Points: 150 # Comments: 89
HackerNews

Running local models is good now

Article URL: https://vickiboykis.com/2026/06/15/running-local-models-is-good-now/ Comments URL: https://news.ycombinator.com/item?id=48555993 Points: 176 # Comments: 80
HackerNews

Fable ban was never about a jailbreak

Article URL: https://techcrunch.com/2026/06/15/the-us-governments-anthropic-models-ban-was-never-about-an-ai-jailbreak/ Comments URL: https://news.ycombinator.com/item?id=48556785 Points: 29 # Comments: 5
The Flux.2-klein-loras Model: How to Have Stylistic Control Over Text-to-Image Generation
🌍 HackerNoon

The Flux.2-klein-loras Model: How to Have Stylistic Control Over Text-to-Image Generation

Created by DeverStyle, these LoRAs enable stylistic control over text-to-image generation without modifying the base model. The collection includes eight distinct style adapters: Teal Dark, Blueprint/Wireframe, Slay The Spire 2 (two variants), Cyanide and Happiness, Arcane, Devil May Cry, and Clothes Line concept.