There’s a quiet but profound transformation underway in how businesses interact with backend systems. It’s not a flashy app or piece of consumer technology - it’s happening at the infrastructure level ...

Companies are realizing that higher AI productivity does not come from using bigger models, but rather from using AIs that understand the context they operate in. Context helps AI interpret ...

“As AI makes code generation easier, the real challenge shifts to reasoning across massive, interconnected systems. Potpie is ...

Many organizations initially adopted retrieval-augmented generation (RAG) to ground AI in internal knowledge. While effective for answering questions, retrieval alone often struggles to capture ...

Four big lessons, seven practical tips, three useful patterns, and five common antipatterns we learned from building an AI CRM. Context engineering has emerged as one of the most critical skills in ...

What if the key to unlocking the full potential of artificial intelligence lies not in the models themselves, but in how we frame the information they process? Imagine trying to summarize a dense, 500 ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context engineering provides the foundation. Enterprises have spent the past two years ...

Jared Bowns is Head of Data and AI at Elyxor, helping enterprises turn emerging AI into scalable, real-world business value. Large language models (LLMs) have evolved from novelty to necessity in ...

For the past few years, prompt engineering has become one of the most important skills in the AI era. Courses were built around it. Job titles were created for it. Entire communities formed to share ...

SoftServe's Agentic Engineering Suite is comprised of two pillars: modernization and development. With agentic engineering, software is built or modernized by AI agents orchestrated by SoftServe's ...