AI/ML Resources

Building with LLMs in 2026 means more than picking a model and calling an API. This article covers the full open-source stack by defining tools and their usage.

April 28, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 4,098 Views · 2 Likes

Implementing Security-First CI/CD: A Hands-On Guide to DevSecOps Automation

This guide shows how to build a secure CI/CD pipeline with early scanning, policy-as-code, SBOMs, zero trust, and safe AI-driven remediation in DevSecOps.

April 28, 2026

by Boris Zaikin

CORE

· 2,748 Views

AI vs. Ageism: The Tech Industry’s Great Reset

AI is erasing tech’s age bias by boosting older workers’ speed and amplifying their experience—making them more productive, reliable, and valuable than ever.

April 28, 2026

by Chimela Caesar

· 2,096 Views · 2 Likes

AI in Manufacturing 2026: Solutions, Benefits, Challenges & Implementation Strategy

AI in manufacturing is delivering measurable gains across quality control, predictive maintenance, supply chain optimization, and demand forecasting

April 27, 2026

by Pritesh Patel

· 2,125 Views

The LLM Selection War Story: Part 2 - The Six LLM Failure Archetypes That Will Wreck Your Production System

Benchmarks test success. Production tests failure. Six critical LLM archetypes destroyed our systems — here's the testing framework that prevents 89% of incidents.

April 27, 2026

by Dinesh Elumalai

CORE

· 3,191 Views

How AI Is Rewriting the Rules of Software Security: Machine-Speed Delivery, Shifting Risk, and New Control Points

AI-driven development expands attack surfaces; this article shows how continuous security, zero trust, and runtime enforcement scale DevSecOps in AI pipelines

April 27, 2026

by Apostolos Giannakidis

CORE

· 2,465 Views · 2 Likes

Security Readiness Checklist: From AI Threats to Software Supply Chain Defense

Detect APTs with behavioral analytics and log correlation, building baselines and linking events to turn weak signals into actionable security detections.

April 27, 2026

by Akanksha Pathak

CORE

· 2,040 Views

Architecting Autonomous Agents: A Deep Dive into Azure AI Foundry Agent Service

Build enterprise-ready AI agents using Azure AI Foundry Agent Service with integrated tools, state management, and robust security.

April 27, 2026

by Jubin Soni, FBCS

CORE

· 2,111 Views

Cost Efficiency and ROI: AI-Powered Testing vs Traditional Automation

This article explores how AI testing delivers faster results, higher productivity, and better ROI than traditional automation.

April 27, 2026

by priti gaikwad

· 1,663 Views

Preventing Prompt Injection by Design: A Structural Approach in Java

AI Query Layer lets you run safe, schema-validated AI queries with LLMs, managing inputs and outputs efficiently for finance, analytics, and apps.

April 24, 2026

by suman Baatth

· 3,933 Views · 4 Likes

88% of Executives Plan to Increase AI Budgets by 2026 - Are We Investing With Intent or Just Urgency?

AI budgets are rising fast, but most organizations lack maturity. Without strong security, governance, and MLOps, AI risks becoming an expensive experiment.

April 24, 2026

by Jaswinder Kumar

· 2,432 Views · 1 Like

Understanding the Shifting Protocols That Secure AI Agents

AI protocols are being adopted faster than security teams can assess them. Learn agentic protocol basics, their maturity levels, and when to implement them.

April 24, 2026

by Meir Wahnon

· 2,742 Views · 2 Likes

Frontier Agents: The Next Evolution of AI Applications

Learn how autonomous AI agents are evolving from reactive execution to self-aware, multi-agent systems with real-time evaluation and adaptive learning.

April 24, 2026

by Shivani Gupta

· 2,476 Views · 1 Like

The Hidden Risk of SaaS-Based AI: You’re Training Models You Don’t Control

SaaS-based AI centralizes learning outside your organization. Each API call may improve shared models, shifting control and competitive leverage away from the data owner.

April 24, 2026

by Pradeep Dahiya

· 2,327 Views

8 RAG Patterns You Should Stop Ignoring

Learn about 8 RAG architectures for AI systems, from naive to agentic and hybrid, and how each improves accuracy, retrieval, and real-world performance.

April 24, 2026

by Damil Shahzad

· 4,363 Views · 1 Like

Why AI-Assisted Development Is Raising the Value of E2E Testing

AI-assisted coding increases change velocity and regression risk. That makes stronger E2E coverage for critical flows more important.

April 23, 2026

by Satyam Nikhra

· 2,660 Views · 2 Likes

Gemini + Veo: A Deep Dive into Google’s High-Fidelity Video Generation Pipeline

A deep dive into Google's video generation stack, combining Gemini's reasoning with Veo's cinematic 1080p video production pipeline.

April 23, 2026

by Jubin Soni, FBCS

CORE

· 2,404 Views

The LLM Selection War Story: Part 1 - Why Your Model Selection Process is Fundamentally Broken

Benchmark scores predicted our LLM would succeed. It failed spectacularly. Here's why 92% vs 89% means nothing and what metrics actually matter in production.

April 23, 2026

by Dinesh Elumalai

CORE

· 2,988 Views

Agent Skills Explained for Developers

Agent skills are the hottest trend now, and this article explains what they are, why they matter, and how to build one with a detailed guide.

April 23, 2026

by Pavan Belagatti

CORE

· 2,504 Views · 1 Like

When AI Agents Get It Wrong: The Accountability Crisis in Multi-Agent Systems

Multi-agent AI systems need built-in accountability. With the right logging and observability setup, when agents fail, you can see what happened and why.

April 23, 2026

by Michael Bogan

CORE

· 1,910 Views

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