Context Management for AI Agents: Why Your Assistant Gets Worse the Longer You Talk to It

👇 KEY TAKEAWAYS & WHAT YOU'LL LEARN:
- 💡 Why AI agent intelligence degrades over long sessions (Context Rot)
- ⚡ The hidden financial and latency penalty of unbounded context windows
- 🛡️ How Prompt Caching (prefix matching) cuts LLM API costs by up to 80%
- 🛑 Context Compaction vs. Trimming: How to manage long-term agent memory

⏱️ TIMESTAMPS / CHAPTERS:
00:00 - Introduction & The Long Session Trap
01:30 - What Is the Context Window?
03:15 - The True Cost of Long Context: Latency & Context Rot
05:45 - Prompt Caching: Saving Millions of Tokens
08:10 - Context Editing vs. Compaction
10:30 - Sub-Agent Context Isolation & Vector Memory
12:45 - Summary & Production Best Practices

🔗 RESOURCES & LINKS:
- Connect with me on LinkedIn: https://in.linkedin.com/in/subashpalvel

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Видео Context Management for AI Agents: Why Your Assistant Gets Worse the Longer You Talk to It канала Subash Palvel