AI/ML Resources

Claude Cowork: AI Agents’ Email Moment for Non-Coders

An overview of Claude Cowork and how it makes AI agents accessible to non-coders, with practical examples for agile practitioners.

January 28, 2026

by Stefan Wolpers

CORE

· 1,459 Views

LLM-Powered Product Development: A Python-Centric Approach

Large language models (LLMs) are at the core of transformation that is helping AI to shift from lab to real world applications.

January 28, 2026

by Manish Adawadkar

· 2,046 Views

Building an Internal Document Search Tool with Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG) is transforming enterprise AI by bridging the gap between general-purpose language models and organization-specific knowledge.

January 27, 2026

by Manish Adawadkar

· 2,921 Views

Edge-First AI Architecture: Designing Low-Latency, Offline-Capable Intelligence

Most Android AI features stall on flaky networks; an edge-first architecture runs key models on-device, with cloud used only as an optional upgrade.

January 27, 2026

by Mohan Sankaran

· 2,415 Views · 5 Likes

Building an AI Agent Traffic Management Platform: APISIX AI Gateway in Practice

A global appliance leader uses APISIX AI Gateway for unified LLM traffic control, hybrid cloud routing, and multi-tenant isolation.

January 26, 2026

by Yilia Lin

· 1,197 Views

Engineering Habits for Building Resilient Software

This article examines how integrating AI into the software development lifecycle (SDLC) is enabling teams to move from MVPs to large, resilient systems.

January 26, 2026

by Ammar Ekbote

· 1,136 Views · 1 Like

The Anatomy of an AI Agent and How to Build One With Docker Cagent

AI Agents perceive, reason, plan, and act autonomously using LLMs. This article breaks down the core components that power every agent and shows you how to build one.

January 26, 2026

by Siri Varma Vegiraju

CORE

· 2,052 Views · 1 Like

How to Create AI-Enhanced Code Review Systems

AI-enhanced code review systems use embeddings and LLMs in Git hooks to catch repetitive issues, freeing human reviewers to focus on higher-level architectural decisions.

January 26, 2026

by Mohit Menghnani

CORE

· 1,823 Views · 2 Likes

The A3 Framework: Assist, Automate, Avoid — A Decision System for AI Delegation

The A3 Framework helps teams decide when to Assist, Automate, or Avoid AI by categorizing work before prompting, reducing risk, and safeguarding trust.

January 26, 2026

by Stefan Wolpers

CORE

· 1,171 Views

Secure AI Architecture for Payments: From Risk Signals to Real-Time Decisions

Secure AI architecture for Android payments that turns device, behavior, and transaction signals into real-time approve-or-challenge decisions.

January 23, 2026

by Mohan Sankaran

· 1,993 Views · 7 Likes

How a Standardized Logistics Protocol Can Unlock AI's Full Potential in Supply Chain

AI can’t transform logistics without a standard protocol. LCP lets carriers and shippers share a common digital language, enabling large-scale, intelligent supply chains.

January 23, 2026

by Balaji Solai Rameshbabu

· 1,230 Views

Securing AI/ML Workloads in the Cloud: Integrating DevSecOps with MLOps

ML systems introduce security risks most teams aren’t prepared for. The piece explores emerging ML-specific threats and what effective MLSecOps looks like in practice.

January 23, 2026

by Igboanugo David Ugochukwu

CORE

· 2,439 Views · 1 Like

The Future of AI Integration: Why Model Context Protocol Is the New API

A deep dive into how the Model Context Protocol (MCP) redefines AI interoperability by standardizing the way agents connect to tools and data sources.

January 23, 2026

by Padmanabham Venkiteela

· 1,291 Views

Agentic AI with Bedrock and DynamoDB Integration

This article walks through how to build an Agentic AI customer service agent using Amazon Bedrock, DynamoDB, and AWS Lambda via Boto3.

January 22, 2026

by Balakumaran Sugumar

· 3,704 Views · 1 Like

Automating Visual Brand Compliance: A Multimodal LLM Approach

Manual review of marketing assets for brand consistency is a bottleneck. Here is an architectural pattern for building a compliance tool using Multimodal LLMs and Python.

January 22, 2026

by Dippu Kumar Singh

· 1,959 Views

Why Semantic Layers Matter in Analytics: A Deep Dive into RAG Design

Analytics assistants/chatbots should trust the semantic layer — not documents. Retrieve metric definitions, run governed SQL, and attach an audit bundle to every KPI.

January 22, 2026

by Anusha Kovi

CORE

· 1,290 Views · 1 Like

Refactoring a Legacy React Monolith With Autonomous Coding Agents

A step-by-step guide to building multi-agent AI workflows with LangGraph that can analyze, plan, code, test, and review the refactoring of a legacy React monolith.

January 22, 2026

by Rajiv Gadda

· 1,918 Views

The Future of Data Streaming with Apache Flink for Agentic AI

Flink and Kafka enable real-time agentic AI by streaming fresh data and model context via the MCP standard for intelligent actions at scale.

January 21, 2026

by Kai Wähner

CORE

· 1,962 Views

Where AI Fits and Fails in Workday Integrations

AI enhances Workday integrations by improving mapping, testing, and monitoring, but it fails when used without human oversight, domain expertise, and strong governance.

January 21, 2026

by Suresh Kurapati

· 2,378 Views · 1 Like

RAG Architectures AI Builders Should Understand

Learn how retrieval, filtering, generation, and operations work together to deliver current, private, and verifiable answers instead of fluent guesses.

January 21, 2026

by Damil Shahzad

· 3,303 Views

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