AI/ML Resources

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

· 2,334 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

· 2,586 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

· 2,324 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

· 2,187 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

· 3,938 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

· 2,505 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 Abhishek Soni

CORE

· 2,297 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

· 2,807 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

· 2,409 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

· 1,818 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

· 1,955 Views

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

· 2,598 Views

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

· 2,053 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

· 8,439 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

· 2,342 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

· 4,789 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

· 3,319 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

· 2,856 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

· 1,861 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

· 1,974 Views

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