OpenAI and Microsoft have released GPT-5.2-Codex—the latest evolution of the Codex line specifically optimized for software development. With a 400,000 token context window, support for 50+ programming languages, and multimodal capabilities that process code, natural language, images, and diagrams simultaneously, Codex 5.2 represents a step-change in AI-assisted development. Available through Azure AI Foundry and GitHub […]
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Azure Platform
Azure Databricks Agent Bricks: Building AI Agents Directly on Your Data Platform
In January 2026, Microsoft announced the general availability of Azure Databricks Agent Bricks—a native capability for creating, deploying, and managing AI agents directly within the Databricks platform. This integration unifies data engineering, machine learning, and agentic AI development in a single environment, enabling data teams to build intelligent agents that have native access to lakehouse […]
Read more →Production Model Deployment Patterns: From REST APIs to Kubernetes Orchestration in Python
After deploying hundreds of ML models to production across startups and enterprises, I’ve learned that model deployment is where most AI projects fail. Not because the models don’t work—but because teams underestimate the engineering complexity of serving predictions reliably at scale. This article shares production-tested deployment patterns from REST APIs to Kubernetes orchestration. 1. The […]
Read more →Data Pipelines for LLM Training: Building Production ETL Systems
Building production ETL pipelines for LLM training is complex. After building pipelines processing 100TB+ of data, I’ve learned what works. Here’s the complete guide to building production data pipelines for LLM training. Figure 1: LLM Training Data Pipeline Architecture Why Production ETL Matters for LLM Training LLM training requires massive amounts of clean, processed data: […]
Read more →DevSecOps: Integrating Security into DevOps – Part 4
In this continuation blog, we will explore some more advanced topics related to DevSecOps implementation. Threat Modeling Threat modeling is the process of identifying potential threats to an application or system and evaluating their impact. It helps identify potential security vulnerabilities and prioritize security activities. The following steps are involved in the threat modeling process: […]
Read more →DevSecOps: Integrating Security into DevOps – Part 5
Continuing from my previous blog, let’s explore some more advanced topics related to DevSecOps implementation. Identity and Access Management Identity and Access Management (IAM) is a critical aspect of DevSecOps. It involves managing user identities and controlling their access to resources based on their roles and responsibilities. IAM includes the following activities: Infrastructure as Code […]
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