@mohitvverma

88% of Agent Systems Got Hacked — Your LangGraph Auth Layer Is the Problem

6d ago · 1 min read · 88% of Agent Systems Got Hacked — Your LangGraph Auth Layer Is the Problem 88% of AI agent teams got breached. Not the LLM. The auth layer. 🔐 Most teams obsess over prompt injection and model safety — but the real vulnerability is hiding in plain si...

Naive RAG Is Dead: The 4-Layer Architecture That Boosts Accuracy by 40%

6d ago · 3 min read · Naive RAG Is Dead: The 4-Layer Architecture That Boosts Accuracy by 40% The Problem: Naive RAG Faithfulness is Only 0.54 Naive RAG systems have a critical flaw: faithfulness of just 0.54. This means approximately half of your answers misrepresent the...

Stop Writing Airflow DAGs: 3 CLI Primitives That Replace 80% of Your Pipeline Code

6d ago · 3 min read · Stop Writing Airflow DAGs: 3 CLI Primitives That Replace 80% of Your Pipeline Code Your Airflow DAG is 400 lines. 40 of them are actual ML logic. The rest? Orchestration tax. The Problem: Orchestration Overhead When you build a data pipeline in Apach...

88% of Agent Systems Got Hacked — Your LangGraph Auth Layer Is the Problem

6d ago · 1 min read · 88% of Agent Systems Got Hacked — Your LangGraph Auth Layer Is the Problem 88% of AI agent teams got breached. Not from LLM exploits. From 4 auth gaps in their LangGraph orchestration layer that silently ship to production every day. Your AppSec team...

88% of Agent Systems Got Hacked — Your LangGraph Auth Layer Is the Problem

Apr 27 · 9 min read · 88% of teams running AI agents reported security incidents. Not hypothetical risk — actual incidents. And the root cause isn't your LLM. It's the 4 auth gaps every LangGraph developer ships to production without noticing. Introduction: Why Your LangG...