Claude SubAgents: Solve Context & Token Cost Problems | CampusX

This video explains Subagents in Claude Code from first principles. It starts by breaking down a fundamental limitation of LLMs—statelessness—and why sending full context in every interaction leads to high cost, inefficiency, and poor results. You’ll learn how subagents solve this by running tasks in isolated context windows and returning only the necessary output. The video covers key advantages like context isolation, specialization, modular workflows, and parallel execution. It also walks through real-world use cases such as codebase exploration, code review, testing, and multi-stage pipelines, along with an overview of built-in subagents like Explore and Plan. 📱 Grow with us: CampusX' LinkedIn:   / campusx-official   CampusX on Instagram for daily tips:   / campusx.official   My LinkedIn:   / nitish-singh-03412789   Discord:   / discord   E-mail us at [email protected] Chapters: 00:00:00 - Introduction & Why Subagents Matter 00:01:10 - Core Problem: How LLMs Work (Stateless + Context Issues) 00:04:30 - Why Traditional Approach Fails (Token Explosion, Cost, Context Limits) 00:10:00 - What are Subagents (Core Concept) 00:11:00 - How Subagents Work (Flow & Example) 00:15:00 - Key Advantages of Subagents 00:18:40 - Real-World Use Cases 00:23:00 - Types of Subagents (Built-in Overview)