In this article, we explore the benefits of implementing document summarization capabilities in a C# document processing pipeline, and we suggest several solutions.
The industry is shifting from copilots that simply autocomplete code to agentic systems that autonomously plan and execute multi-step workflows in a recursive loop.
AI agents fail in production because they rely on prompts instead of systems. Without proper hosting, memory, tool access, and controls, they become unreliable.
Treating cost as a first-class signal lets teams spot financial regressions early and make informed infrastructure trade-offs before cloud spend becomes a surprise.
Model Context Protocol enables intent-driven GitHub workflows in the IDE, replacing command sequences with safe, structured natural language interactions.