AI/ML Resources

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

· 2,557 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

· 3,190 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

· 2,638 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

· 2,036 Views

Boosting React.js Development Productivity With Google Code Assist

Google Code Assist boosts React.js productivity by generating context-aware code inside VS Code, helping developers move faster without sacrificing code quality.

April 23, 2026

by Rajgopal Devabhaktuni

· 2,302 Views · 1 Like

Revolutionizing Scaled Agile Frameworks with AI, MuleSoft, and AWS: An Insider’s Perspective

AI + MuleSoft + AWS enhance SAFe with automated insights, better integration, and smarter DevOps—guided by human judgment.

April 22, 2026

by Abhijit Roy

· 3,030 Views · 1 Like

The Rollback Problem: Implementing Transactional Boundaries in Agentic Loops

Learn how to leverage the Saga pattern, sandboxes, and idempotent tooling to define transactional boundaries and prevent failure loops in AI agents.

April 22, 2026

by Sidhesh Badrinarayan

· 2,308 Views

What AI Systems Taught Us About the Limits of Chaos Engineering

AI-driven infrastructure is non-deterministic. Chaos testing ensures systems maintain intended behavior under stress, improving reliability and safety.

April 22, 2026

by Sayali Patil

· 9,627 Views · 6 Likes

Designing a “People You May Know” System With Graph Neural Networks

This article explains a practical design for a LinkedIn-style “People You May Know” system, focusing on real-world tradeoffs, graph embeddings, and low-latency serving.

April 22, 2026

by Deepu Komati

· 2,675 Views · 2 Likes

AWS Bedrock: The Future of Enterprise AI

Amazon Bedrock simplifies enterprise AI with multi-model access, built-in security, RAG, and scalable, no-infrastructure deployment.

April 21, 2026

by Subrahmanyam Katta

· 5,362 Views · 2 Likes

Demystifying Intelligent Integration: AI and ML in Hybrid Clouds

AI and ML are transforming hybrid clouds with edge intelligence, federated learning, and explainable, scalable integration.

April 21, 2026

by Abhijit Roy

· 3,590 Views

SPACE Framework in the AI Era: Why Developer Productivity Metrics Need a Rethink Right Now

AI coding tools boost commit metrics, but hide deeper issues. Learn how the SPACE framework reveals real developer productivity beyond traditional DevOps metrics.

April 21, 2026

by Sreejith Velappan

· 3,471 Views

Solving the AI Accountability Gap: The Fact-Based Labeling (FBL) Framework

The Fact-Based Labeling framework replaces ‘black-box’ flags with machine-extracted facts that trigger structured human questionnaires for consistent content governance.

April 21, 2026

by Prachi Priyam

· 2,055 Views

Architecting AI-Native Cloud Platforms: Signals to Insights to Actions

AI-native platforms embed intelligence into cloud infrastructure, allowing systems to sense events, generate insights with AI, and trigger automated actions in real time.

April 21, 2026

by Harvendra Singh

· 2,468 Views

Quality Assurance in AI-Driven Business Evolution

QA is evolving for AI-driven business, focusing on data quality, model validation, and risk management to ensure reliable, trustworthy, well-governed systems.

April 20, 2026

by Parimal Kumar

· 4,095 Views

Hidden Cyber Threat AI Is Preparing That Some Companies Aren't Thinking About

The rapid and unpredictable progression of AI capabilities suggests that their advancement may soon rival the immense power of the human brain.

April 20, 2026

by Francis Ejiofor

· 2,786 Views

Securing AI Agents: Agent Logging, Visibility, and Data Protection

AI agents create a logging paradox: too little visibility is dangerous, too much creates data leaks. Here's how to design telemetry that solves both.

April 20, 2026

by Alvin Lee

CORE

· 3,209 Views · 1 Like

Why Every Defense Against Prompt Injection Gets Broken — And What to Build Instead

Twelve LLM prompt injection defenses were tested, and all bypassed. Stop relying on perimeter filters. Strip model privileges and design for containment instead.

April 20, 2026

by Dinesh Elumalai

CORE

· 4,330 Views · 1 Like

Gemini Agent vs Microsoft Copilot vs ChatGPT Operator: How They Compare

AI is shifting from chat to action. Learn how Agentic AI, Copilots, and Operators differ in architecture, capability, and autonomy.

April 20, 2026

by Jubin Soni, FBCS

CORE

· 2,038 Views

Context Lakes: The Infrastructure Layer AI Agents Need That Doesn't Exist Yet

No composition of feature stores, vector DBs, and stream processors can guarantee Decision Coherence. Here's the correctness gap in multi-agent systems.

April 17, 2026

by Angela Zhao

· 2,824 Views

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