LLM-powered applications are moving beyond generating text. They can now retrieve customer records, search internal systems, create support tickets, process...
Tag - Agentic AI
AI agents are becoming capable of much more than answering questions. They can break down complex requests, interact with external tools, retrieve information...
An AI agent can solve a complex task, explain its reasoning, and call multiple tools, yet still struggle with a basic question: what happened the last time it...
AI agents are becoming more capable, but one problem continues to limit their usefulness in production: memory. An agent can answer a question, execute a...
AI agents are moving beyond chat interfaces into applications that can retrieve information, interact with APIs, execute workflows, and make decisions across...
AI agents are changing how modern applications interact with users, APIs, databases, and external services. Instead of responding to a single request and...
AI is changing backend architecture faster than many engineering organizations anticipated. Adding an AI capability to an application rarely means adding a...
How enterprise engineering teams can give AI agents room to act while keeping critical systems, data, and decisions under control AI agents are moving beyond...
Autonomous AI agents are changing what backend systems are expected to handle. A traditional backend waits for a request, executes business logic and returns a...
