Llily678656intechworld11.hashnode.dev·16h ago · 6 min readWhy AI Agents Break in Production: The Engineering Problems Behind Autonomous AIAI agents can look remarkably capable during a controlled demonstration. Give an agent a task, provide access to the right tools, and it may research information, call APIs, write code, analyze result00
Llily678656intechworld11.hashnode.dev·16h ago · 5 min readThe AI Agent Stack in 2026: Models Are Only the BeginningAI agents are becoming an important area of software engineering in 2026. But building an AI agent is not simply a matter of connecting an LLM to a prompt. A production-grade agent needs an entire tec00
Llily678656intechworld11.hashnode.dev·Sep 3 · 7 min readWhy Legacy Systems Can Hold Back Real-Time AI Decision-MakingAI can analyze information in seconds. But that doesn't mean a business can make decisions in seconds. For many organizations, the biggest limitation isn't the AI model. It is the technology infrastru00
Llily678656intechworld11.hashnode.dev·Sep 3 · 5 min readModern Mobile App Development: What Changes After Launch?Launching a mobile application can feel like the finish line. In reality, it is usually the point where the more complicated engineering work begins. Before launch, developers control the environment.00
Llily678656intechworld11.hashnode.dev·Aug 20 · 7 min readAI Can Build a Prototype. Who Builds the Product?I've been seeing the same pattern across a lot of AI discussions lately. Someone demonstrates an impressive AI prototype, and the immediate reaction is usually: “This changes everything.” Maybe it doe00
