The Latest and Popular SDLC Topics

How to Integrate an AI Chatbot Into Your Application: A Practical Engineering Guide

A practical engineering guide to integrating an AI chatbot into your application, covering architecture, backend flow, NLP handling, security, testing, and deployment.

February 24, 2026

by Manthan Bhavsar

· 1,777 Views

Integration Reliability for AI Systems: A Framework for Detecting and Preventing Interface Mismatch at Scale

Prevent AI system failure by enforcing contract consistency across four layers: validation, testing, runtime monitoring, and fail-fast boundaries.

February 24, 2026

by Anurag Jindal

· 1,920 Views

The DevSecOps Paradox: Why Security Automation Is Both Solving and Creating Pipeline Vulnerabilities

This article examines how DevSecOps and AI automation shifted attacks to CI/CD pipelines, making security tools themselves a growing attack surface.

February 24, 2026

by Igboanugo David Ugochukwu

CORE

· 2,009 Views · 1 Like

The AI4Agile Practitioners Report 2026

The AI4Agile Practitioners Report 2026: 83% of Agile practitioners use AI, but most spend 10% or less of their time with AI.

February 24, 2026

by Stefan Wolpers

CORE

· 3,027 Views

Azure SLM Showdown: Evaluating Phi-3, Llama 3, and Snowflake Arctic for Production

Evaluate Phi-3, Llama 3, and Snowflake Arctic. Learn to deploy cost-effective, high-performance SLMs on Azure for production workloads.

February 23, 2026

by Jubin Soni, FBCS

CORE

· 1,788 Views

Data Driven API Testing in Java with Rest-Assured and TestNG: Part 1

Learn how to perform data-driven API automation testing with Rest-Assured using object arrays and TestNG's @DataProvider annotation.

February 23, 2026

by Faisal Khatri

CORE

· 2,486 Views · 2 Likes

The Quantum Computing Mirage: What Three Years of Broken Promises Have Taught Me

Despite steady progress, quantum computing remains decades from practical advantage, with cryptography upgrades as its only near-term impact.

February 23, 2026

by Igboanugo David Ugochukwu

CORE

· 2,274 Views · 5 Likes

Agentic AI vs Copilots: The Architectural Shift from Assistance to Autonomy

The industry is shifting from copilots that simply autocomplete code to agentic systems that autonomously plan and execute multi-step workflows in a recursive loop.

February 23, 2026

by Nikita Kothari

· 1,601 Views

From Prompt Loops to Systems: Hosting AI Agents in Production

AI agents fail in production because they rely on prompts instead of systems. Without proper hosting, memory, tool access, and controls, they become unreliable.

February 23, 2026

by Amit Chaudhary

· 1,259 Views

Building a Sentiment Analysis Pipeline With Apache Camel and Deep Java Library (DJL)

This tutorial shows how to build a sentiment analysis pipeline entirely in Java using Apache Camel and Deep Java Library (DJL).

February 23, 2026

by Vignesh Durai

· 3,182 Views · 2 Likes

Azure AI Search at Scale: Building RAG Applications with Enhanced Vector Capacity

Azure AI Search now supports massive vector scale (tens of millions per index) with better performance and cost efficiency.

February 23, 2026

by Jubin Soni, FBCS

CORE

· 1,399 Views

From Command Lines to Intent Interfaces: Reframing Git Workflows Using Model Context Protocol

Model Context Protocol enables intent-driven GitHub workflows in the IDE, replacing command sequences with safe, structured natural language interactions.

February 20, 2026

by Aishwarya Murali

· 2,387 Views

Amazon Q Developer for AI Infrastructure: Architecting Automated ML Pipelines

Master Amazon Q Developer for ML infrastructure. Automate SageMaker pipelines, optimize GPU resources, and accelerate AI development cycles.

February 20, 2026

by Jubin Soni, FBCS

CORE

· 2,020 Views · 1 Like

Queueing Theory for LLM Inference

Learn how to size GPU capacity, batching, and concurrency for strict latency SLOs in production-ready LLM inference with this analysis of queuing theory applications.

February 20, 2026

by Dhyey Mavani

· 2,595 Views

From Prompts to Platforms: Scaling Agentic AI (Part 2)

Agentic AI platforms scale by combining evaluation, resilience, governance, telemetry-driven iteration, low-touch onboarding, and resource management.

February 19, 2026

by VIVEK KATARYA

· 2,263 Views · 1 Like

AWS SageMaker HyperPod: Distributed Training for Foundation Models at Scale

Master distributed training at scale with AWS SageMaker HyperPod's resilient cluster management and high-performance interconnects.

February 19, 2026

by Jubin Soni, FBCS

CORE

· 1,744 Views

Tools for Building Deterministic LLM Systems

LLMs are never deterministic, but with sufficient testing, you can push LLM-driven workflows close to the reliability bar of traditional software.

February 19, 2026

by Cornelius Renken

· 3,212 Views

The Future of Agentic AI

Agentic AI replaces passive chatbots with goal-driven agents, while MCP standardizes tools to enable safe, scalable human-AI collaboration.

February 19, 2026

by John Vester

CORE

· 3,179 Views · 2 Likes

The Developer’s Guide to Local LLMs: Building, Running, and Scaling With Ollama

The article discusses local LLMs through practical examples and, in depth, examines their limitations and specific aspects of real-world use.

February 19, 2026

by Iurii Iurchenko

· 3,343 Views · 5 Likes

Embedding Store as a Platform on AWS: OpenSearch + Bedrock + S3 Needs SLAs, Governance, and Quotas

Vector search is not "just OpenSearch." It just needs to be run as a platform with SLAs, governance, and quotas to control drift, leaks, and out-of-control costs.

February 19, 2026

by Anusha Kovi

CORE

· 1,629 Views · 1 Like

The Latest Popular Topics