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AGENTIC AI BASICS AND MCP FOR BACKEND LEADS
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FIRST_SEEN 2026-01-06
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LAST_SYNC 2026-01-06
[ OVERVIEW ]
This guide explains how agentic AI moves beyond reactive LLM prompts to goal-directed systems that plan, use tools (APIs/DBs), remember, and delegate. It also outlines design patterns and a learning path toward enterprise-ready setups using the Model Context Protocol (MCP) to standardize agent-tool integration.
[ ALL_SOURCES ]
Articles
- https://medium.com/@fahimulhaq/complete-guide-to-agentic-ai-basics-ec340176d0a8
- https://chatlyai.app/blog/gpt-5-1-pricing-explained
- https://www.reddit.com/r/ClaudeAI/comments/1q4yig7/claude_agent_sdk_full_workshop_thariq_shihipar/
- https://sivarampg.medium.com/how-the-creator-of-claude-code-uses-claude-code-a-complete-breakdown-0481deedf64e
- https://guozheng-ge.medium.com/set-up-claude-code-using-third-party-coding-models-glm-4-7-minimax-2-1-kimi-k2-5a3cdf38c261
[ STORY_TIMELINE ]
Agentic AI basics and MCP for backend leads
This guide explains how agentic AI moves beyond reactive LLM prompts to goal-directed systems that plan, use tools (APIs/DBs), remember, and delegate. It also outlines design patterns and a learning path toward enterprise-ready setups using the Model Context Protocol (MCP) to standardize agent-tool integration.