Why Every API Is Becoming an AI API
APIs were originally built to connect software. Today, they’re increasingly being designed to communicate with something entirely different—AI agents capable of reasoning, planning, and making decisions.
AI Is Replacing Coding, Not Software Engineering
For years, software development rewarded the ability to write code quickly. AI is changing that equation – but not in the way many people think.
Why the Internet Is Preparing for Quantum Computers
For classical computers, deriving the secret from those values is computationally infeasible. This assumption underpins TLS, SSH, VPNs, and most secure communication today.
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Prompt Injection Is Just the Beginning
Securing AI Agents in Enterprise Systems
Artificial Intelligence has evolved remarkably over the last few years. What started as chatbots capable of answering questions has rapidly transformed into autonomous agents capable of interacting with real-world business systems.
Why Every Modern Database Is Becoming a JSON Database
For years, relational databases and document databases were presented as competing technologies. Looking back, that debate feels surprisingly outdated. The real winner wasn’t SQL or JSON – it was the combination of both.
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The Beginning of Agent-Based ERP
When Microsoft first introduced Copilot features into Microsoft Dynamics 365 Business Central, many developers saw it as a productivity enhancement layer — smarter suggestions, assisted text generation, improved user experience.
PostgreSQL and JSON in 2025
We’ve seen MySQL vs MariaDB fight to the death over JSON. We’ve seen Microsoft SQL Server roll up in a spaceship and embarrass everyone. And then there’s PostgreSQL… just sitting there since 2012, sipping tea, with the most mature, powerful, and actually pleasant JSON implementation of them all.
RAG Showdown: Elasticsearch vs MongoDB
MongoDB Atlas integrates RAG seamlessly through its Vector Search feature, storing documents with embeddings, metadata, and application data in a single collection for hybrid semantic and keyword queries. This simplifies ingestion (chunking data, generating embeddings) and retrieval, feeding relevant context directly to LLMs without separate storage layers.
Microsoft SQL Server JSON in 2025
Here’s what real JSON support looks like when a company has been doing it seriously since 2016 and keeps improving it every quarter.
Microsoft Turns Business Central into the First ERP with Built-in MCP Server Support
As AI agents evolve from assistants to autonomous orchestrators, a key question emerges: How will they seamlessly interface with core business systems like ERP without custom coding hurdles? What if your AI could query customer data, generate sales orders, or automate workflows in real-time, all through natural language?
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MariaDB vs MySQL: The Great JSON War
After more than a decade of working with semi-structured data in relational databases, I’ve seen the full evolution of JSON support in MySQL and MariaDB. What started as a workaround has now become a robust, production-ready feature in both systems.
Model Context Protocol (MCP) – Access For AI Agents
The Model Context Protocol (MCP) is an open standard developed by Anthropic that enables AI agents to securely connect with external data sources and tools. Think of MCP as a universal “plugin system” for AI
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