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.
Category: AI
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.
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.
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.
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.
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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RAG with ElasticSearch
Elasticsearch isn’t just a search engine anymore – it’s evolved into a complete AI-ready platform. According to Elastic’s documentation, it provides native support for the entire RAG workflow
Ollama – safe AI not only for Developers
We live in times where many companies and developers don’t stop to consider whether sending code to large cloud-based AI models is safe.
The Business Challenge: The “Knowledge Gap” in AI
Large Language Models (LLMs) like GPT-4 are incredibly powerful. They can write, reason, and converse on a vast array of topics, feeling almost like all-knowing oracles. This has sparked a wave of excitement and innovation across industries.