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better software.

A Bootiful Podcast: DaShaun Carter on patching, Spring Boot 4.1, and security in the world of AI

What Link data tells us about AI spending

We analyzed spending patterns across the 250 million customers paying with Link. We found that Link customers are spending more on AI than they were three months prior, investing heavily in platforms that let them build with AI.

I Stopped Asking "what will say"

I grew up hearing it every day: So I stayed quiet. Last night I posted my truth on DEV. Then commented: "You are not alone, we are all with you" other comment: "Yes we are here for you". And it hit me: People are not happy anyway. So why live in fear of their words?

Mastering Design Principles: Dependency Inversion in Kotlin

Abstract In modern software engineering, writing code that simply "works" is only the first step. The real challenge lies in designing systems that are maintainable, scalable, and easy to test. This article explores the Dependency Inversion Principle (DIP), the final pillar of the SOLID design principles. Through a practical, real-world example in Kotlin, we will demonstrate how to transition from a tightly coupled architecture to an abstraction-based design. This shift dramatically improves our

Stop telling your RAG bot not to hallucinate. Make it impossible.

The suggestion every RAG app ignores If you've shipped a retrieval-augmented assistant, you've written some version of this line in your system prompt: "If the answer isn't in the provided context, say you don't know. Do not make things up." And you've watched the model cheerfully ignore it under pressure. A confident-sounding question comes in, retrieval returns something adjacent, and the model stitches together an answer that's plausible, fluent, and wrong. Telling a language model not to h

Most Engineers Use AI. Few Engineer With It.

Most software engineers I know use AI in some form now. Maybe it is for debugging, boilerplate, tests, docs, SQL queries, shell commands, or quick code reviews. Some use it daily. Some use it quietly. Even the skeptical ones have probably pasted a confusing stack trace into a chat window once. So I do not think the interesting question is: “Do engineers use AI?” The better question is: “Has AI changed how they engineer?” Because those are not the same thing. Using AI is easy. Engineering with AI

Além da Ditação: Como Extrair Inteligência Real de Conversas a partir de Áudio em Segundos

No ecossistema de dados moderno, o áudio está em todo lugar. Gravamos ligações de suporte ao cliente, reuniões de vendas, sessões de brainstorming, notas de voz e podcasts. No entanto, para muitas empresas, esses milhares de horas de áudio continuam sendo um silo de dados invisível. Por anos, a solução técnica padrão foi simples: Speech-to-Text (STT). Você envia um arquivo de áudio para um engine, e ele cospe uma parede gigante de texto sem pontuação. Mas sejamos honestos: ninguém tem tempo para

Chrome Put a 4GB AI Model on Your Computer: What Gemini Nano Means for Privacy

Originally published on MRTD.NET — fast, sourced news on crypto security, cyber & SEO. If you run a recent version of Google Chrome on a desktop, there is a decent chance your browser has quietly downloaded a ~4GB artificial-intelligence model in the background. It is called Gemini Nano, and it is the engine behind Chrome's new built-in AI features. The download is real — Snopes verified it — and it is worth understanding what it is, why it is mostly good, and where the legitimate concern lies.