AI/ML Resources

AWS Bedrock vs. SageMaker: Choosing the Right GenAI Stack in 2026

Deciding between Bedrock's serverless ease and SageMaker's deep control? This guide breaks down the 2026 AWS GenAI landscape for you.

February 26, 2026

by Jubin Soni, FBCS

CORE

· 1,546 Views · 1 Like

I Watched an AI Agent Fabricate $47,000 in Expenses Before Anyone Noticed

This explores AI agent failures with organizations deploying autonomous systems faster than their governance, monitoring, and security controls can safely support.

February 26, 2026

by Igboanugo David Ugochukwu

CORE

· 2,296 Views

A Practical Guide to Building Generative AI in Java

Genkit Java makes building generative AI features in Java finally simple. With typed inputs/outputs, structured LLM responses, built-in observability, a powerful DevUI.

February 26, 2026

by Xavier Portilla Edo

CORE

· 3,186 Views · 3 Likes

Intelligent Load Management for LLM Calls: From Static Rate Limits to Priority-Aware "Agent QoS"

Use a fair, priority-based tool scheduler instead of static rate limits, leveraging concurrency caps, signals, abort rules, and safe degradation.

February 26, 2026

by Anusha Kovi

CORE

· 1,061 Views

From Keywords to Meaning: The New Foundations of Intelligent Search

Learn about why keyword search fails at scale and how cloud-native vector databases enable semantic, AI-powered retrieval for smarter, more reliable results.

February 25, 2026

by Amit Kumar Padhy

· 1,022 Views

How We Cut AI API Costs by 70% Without Sacrificing Quality: A Technical Deep-Dive

Intelligent caching and model routing reduced our AI API costs from $12,340 to $3,680 per month. Production-tested optimizer. Open source. MIT license.

February 25, 2026

by Dinesh Elumalai

CORE

· 1,618 Views · 1 Like

Chunking Is the Hidden Lever in RAG Systems (And Everyone Gets It Wrong)

Chunking decisions made early in a RAG pipeline often determine whether retrieval works at all. Here is a practical look at why that matters.

February 25, 2026

by Anshul Sharma

· 1,228 Views

Cagent: Dockers newest low code Agentic Platform

Docker’s cagent is a new open-source, low-code/ YAML-centric AI agent builder and runtime. Instead of writing code, you describe agents and cagent runs them.

February 25, 2026

by Siri Varma Vegiraju

CORE

· 1,793 Views

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

· 1,536 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

· 1,702 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

· 1,731 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

· 2,767 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

· 1,565 Views

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

· 1,935 Views · 4 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

· 1,330 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

· 1,087 Views

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

· 1,175 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

· 1,969 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

· 1,837 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

· 1,985 Views

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