The Latest and Popular SDLC Topics

Securing AI/ML Workloads in the Cloud: Integrating DevSecOps with MLOps

ML systems introduce security risks most teams aren’t prepared for. The piece explores emerging ML-specific threats and what effective MLSecOps looks like in practice.

January 23, 2026

by Igboanugo David Ugochukwu

CORE

· 2,505 Views · 1 Like

The Future of AI Integration: Why Model Context Protocol Is the New API

A deep dive into how the Model Context Protocol (MCP) redefines AI interoperability by standardizing the way agents connect to tools and data sources.

January 23, 2026

by Padmanabham Venkiteela

· 1,322 Views

Agentic AI with Bedrock and DynamoDB Integration

This article walks through how to build an Agentic AI customer service agent using Amazon Bedrock, DynamoDB, and AWS Lambda via Boto3.

January 22, 2026

by Balakumaran Sugumar

· 3,741 Views · 1 Like

Automating Visual Brand Compliance: A Multimodal LLM Approach

Manual review of marketing assets for brand consistency is a bottleneck. Here is an architectural pattern for building a compliance tool using Multimodal LLMs and Python.

January 22, 2026

by Dippu Kumar Singh

· 2,054 Views

Why Semantic Layers Matter in Analytics: A Deep Dive into RAG Design

Analytics assistants/chatbots should trust the semantic layer — not documents. Retrieve metric definitions, run governed SQL, and attach an audit bundle to every KPI.

January 22, 2026

by Anusha Kovi

CORE

· 1,320 Views · 1 Like

Refactoring a Legacy React Monolith With Autonomous Coding Agents

A step-by-step guide to building multi-agent AI workflows with LangGraph that can analyze, plan, code, test, and review the refactoring of a legacy React monolith.

January 22, 2026

by Rajiv Gadda

· 1,978 Views

The Future of Data Streaming with Apache Flink for Agentic AI

Flink and Kafka enable real-time agentic AI by streaming fresh data and model context via the MCP standard for intelligent actions at scale.

January 21, 2026

by Kai Wähner

CORE

· 1,988 Views

Where AI Fits and Fails in Workday Integrations

AI enhances Workday integrations by improving mapping, testing, and monitoring, but it fails when used without human oversight, domain expertise, and strong governance.

January 21, 2026

by Suresh Kurapati

· 2,420 Views · 1 Like

RAG Architectures AI Builders Should Understand

Learn how retrieval, filtering, generation, and operations work together to deliver current, private, and verifiable answers instead of fluent guesses.

January 21, 2026

by Damil Shahzad

· 3,319 Views

MERGE and Liquid Clustering: Common Performance Issues

A practical look at common pitfalls and performance challenges when using MERGE operations on liquid-clustered Delta tables, and how to avoid them.

January 21, 2026

by Avi Yehuda

· 1,618 Views

Why High-Availability Java Systems Fail Quietly Before They Fail Loudly

High-availability Java systems usually fail gradually. Early warning signs appear across correlated JVM metrics long before outages, but static alerts miss them.

January 21, 2026

by Krishna Kandi

· 2,438 Views · 2 Likes

Multimodal AI Architecture: Unifying Vision, Text, and Sensor Intelligence

Most Android AI features stay single-modal; this architecture fuses vision, text, and sensor inputs to deliver smarter, context-aware, privacy-conscious experiences.

January 21, 2026

by Mohan Sankaran

· 1,552 Views · 5 Likes

AI-Driven Autonomous CI/CD for Risk-Aware DevOps

AI-driven autonomous CI/CD pipelines enable risk-aware DevOps by predicting failures, reducing downtime, improving reliability, and lowering cognitive load for SREs.

January 21, 2026

by Oreoluwa Omoike

· 1,204 Views

Automating Traceability with Generative AI

Here is an architectural pattern to automate traceability checks by combining batch configuration extraction with Generative AI validation.

January 20, 2026

by Dippu Kumar Singh

· 1,853 Views

Enterprise LLM Architecture Patterns, From RAG to Agentic Systems

A practical guide to 11 proven LLM architecture patterns, with real-world examples for building scalable, trustworthy, production-ready AI systems.

January 20, 2026

by Ram Ghadiyaram

CORE

· 5,549 Views · 6 Likes

The Messaging Challenges No One Talks About in Regulated, Air-Gapped, and Hybrid Environments

For platform engineering, today's solutions fall short, creating a gap between operational security requirements and modernization goals.

January 20, 2026

by Alvin Lee

CORE

· 1,600 Views

Why High Performance Storage is Important for AI Cloud Build

Learn the technology and architecture behind building AI Cloud and why high performance storage is important. Explore the latest benchmarks and understand the market.

January 20, 2026

by Anjul Sahu

· 1,800 Views

“Just Don’t Put PII in the Prompt” Is a Trap: A Two-Plane Architecture for Safe LLM Apps

Separate Data Plane (sensitive data/actions) from Prompt Plane (sanitized context). Use IDs + summaries so secrets never enter prompts.

January 20, 2026

by Mohan Sankaran

· 1,108 Views · 5 Likes

DeepSeek’s mHC: Manifold-Constrained Hyper-Connections, Explained for Practical Use

An overview of how DeepSeek’s manifold-constrained hyper-connections (mHC) stabilizes multi-stream residual networks while improving performance at scale.

January 19, 2026

by Praveen Kumar Myakala

· 1,457 Views · 2 Likes

Copilot, Code, and CI/CD: Securing AI-Generated Code in DevOps Pipelines

AI coding tools boost speed but weakens security and developer judgment. Here’s how hidden vulnerabilities escape review and what must change before a breach hits.

January 19, 2026

by Igboanugo David Ugochukwu

CORE

· 1,574 Views

The Latest Popular Topics