Scalekit
ScaleKit Auth
Published: March 23, 2026
Video Description
One thing worth calling out separately: once your agent starts acting inside real systems: booking meetings, updating CRMs, filing tickets – you hit a wall that LangChain, LangGraph, and LangSmith don't solve on their own: auth.
Especially, in multi-tenant enterprise systems, you need answers for: Whose credentials does the agent use? What is the agent actually allowed to touch? And how do you prove a specific user authorized an agent?
Scalekit is a drop-in auth and tool-calling layer built for exactly this. Try it free: https://tinyurl.com/5h9vssuv
Resources:
- System Design Course: https://academy.bytemonk.io/courses
- ByteMonk Blog: https://blog.bytemonk.io/
- LinkedIn: https://www.linkedin.com/in/bytemonk/
- Github: https://github.com/bytemonk-academy
Timestamps
00:00 Why Everyone Is Talking About LangChain, LangGraph & LangSmith
00:25 The Problem: LLM Apps Are More Than API Calls
00:49 From Single Prompt to AI Pipelines
01:36 What LangChain Solves (Core Idea)
01:54 Prompt Templates Explained
02:21 Chains: Building Multi-Step Workflows
02:44 Tools: Giving LLMs Real Actions
03:20 Retrieval Augmented Generation (RAG) Basics
03:54 The OAuth & Authentication Problem in Agents
05:05 Tool Authentication Layer (ScaleKit Overview)
05:52 From Chains to Agents (Reason + Act Loop)
06:33 Why Agent Workflows Become Complex
06:52 Why LangGraph Exists
07:03 Graph-Based AI Architecture (Nodes & Edges)
07:25 Research Agent Example (Loops & Decisions)
07:54 Stateful AI Systems Explained
08:22 Debugging Problem in AI Systems
08:52 LangSmith: Observability for AI Applications
09:16 Evaluation & Measuring AI Quality
09:43 Prompt Experiments and A/B Testing
09:58 Production Monitoring & Metrics
10:07 End-to-End Architecture (How All Three Work Together)
10:34 LangChain vs LangGraph vs LangSmith Summary
10:50 Limitations & Criticism of LangChain
11:22 Why LangGraph Was Created
11:36 When You Actually Need This Stack
11:58 The Shift: From Prompting to System Design
12:20 Final Takeaways & What to Learn Next
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