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Vibe Coding Meets Spec Engineering – What Building With AI Agents Really Looks Like
One is great for exploration, the other for accumulation. Here’s what happens when you use both. Vibe coding is having a moment. Andrej Karpathy coined the term, and suddenly everyone’s doing it, you open a chat, describe what you want in plain English, let the AI generate code, and just go with the vibes. Accept all,…
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Securing Multi-Agent AI with Entra ID On-Behalf-Of: Per-User RBAC in LangGraph.
This is the first of two posts. This one focuses on the technical aspects; the next will address the CXOs perspective, providing a comprehensive unified point of view. Introduction When building AI-powered applications for the enterprise, a common challenge emerges: how do you maintain user identity and access controls when an AI agent queries backend…
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The Tectonic Shift: AI Agents and the Future of Work.
The future of work is changing rapidly with the rise of AI Agents in the enterprise. From user-friendly, no-code platforms like Copilot Studio that empower citizen developers, to complex agentic AI-driven pipelines orchestrating multiple agents on the backend, AI is transforming how business applications and processes are designed, deployed, and scaled across every industry vertical.…
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Modernizing Enterprise IT & Knowledge Support with Azure-Native Multiagent AI and LangGraph.
Industry: Energy Location: North America Executive Summary: AI-Driven Multi-Agent Knowledge and IT Support Solution for an Energy Industry Firm A North American energy company sought to modernize its legacy knowledge and IT support chatbot, which was underperforming across key metrics. The existing system, built on static rules and scripts, delivered slow and often inaccurate responses,…
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Exploring AI Agent-Driven Auto Insurance Claims RAG Pipeline.
Introduction: In this post, I explore a recent experiment aimed at creating a RAG pipeline tailored for the insurance industry, specifically for handling automobile insurance claims, with the goal of potentially reducing processing times. I also showcase the implementation of Autogen AI Agents to enhance search retrieval through agent interaction and function calls on sample…
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Enhancing Document Extraction with Azure AI Document Intelligence and LangChain for RAG Workflows.
Overview. The broadening of conventional data engineering pipelines and applications to include document extraction and preprocessing for unstructured PDFs, audio, and video files is becoming more prevalent. This shift is propelled by the increasing demand for advanced generative AI applications in businesses, adhering to the RAG (Retrievable Augmented Generation) model. In this post, I will…
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Designing and Implementing a Modern Data Architecture on Azure Cloud.
I just completed work on the digital transformation, design, development, and delivery of a cloud native data solution for one of the biggest professional sports organizations in north America. In this post, I want to share some thoughts on the selected architecture and why we settled on it This Architecture was chosen to meet the…
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Ingest Azure Event Hub Telemetry Data with Apache PySpark Structured Streaming on Databricks.
Overview. Ingesting, storing and processing millions of telemetry data from a plethora of remote IoT devices and Sensors has become common place. One of the primary Cloud services used to process streaming telemetry events at scale is Azure Event Hub. Most documented implementations of Azure Databricks Ingestion from Azure Event Hub Data are based on…
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Publish PySpark Streaming Query Metrics to Azure Log Analytics using the Data Collector REST API.
Overview. At the time of this writing, there doesn’t seem to be built-in support for writing PySpark Structured Streaming query metrics from Azure Databricks to Azure Log Analytics. After some research, I found a work around that enables capturing the Streaming query metrics as a Python dictionary object from within a notebook session and publishing…
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Write Data from Azure Databricks to Azure Dedicated SQL Pool(formerly SQL DW) using ADLS Gen 2.
In this post, I will attempt to capture the steps taken to load data from Azure Databricks deployed with VNET Injection (Network Isolation) into an instance of Azure Synapse DataWarehouse deployed within a custom VNET and configured with a private endpoint and private DNS. Deploying these services, including Azure Data Lake Storage Gen 2 within…
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Chinny Chukwudozie, Cloud Solutions. 