AI/ML Resources

A Technical Practitioner's Guide to Integrating AI Tools into Real Development Workflows

Junior developers are shipping features faster with Cursor and GitHub Copilot, while senior engineers question if AI-assisted code is maintainable at scale.

October 16, 2025

by Jim Liddle

· 2,824 Views · 1 Like

The Era of AI-First Backends: What Happens When APIs Become Contextualized Through LLMs?

AI-first backends let LLMs drive dynamic, personalized API logic in real time replacing static rules. Validation and guardrails keep them reliable and secure.

October 15, 2025

by Bharath Kumar Reddy Janumpally

· 4,847 Views · 3 Likes

Agentic AI: Why Your Copilot Is About to Become Your Coworker

The era of AI autonomously doing the work is here. Agentic AI systems can plan multi-step workflows, make decisions, use tools, and coordinate with other agents.

October 14, 2025

by Jubin Abhishek Soni

CORE

· 3,521 Views · 4 Likes

Inside Microsoft Fabric: How Data Agents, Copilot Studio, and Real-Time Intelligence Power the AI-Driven Enterprise

Learn how developers can use data agents for natural-language querying, Copilot Studio for AI interactions, and real-time intelligence for streaming analytics.

October 14, 2025

by Vishwa Kishore Mannem

· 3,018 Views · 2 Likes

Making AI Better: A Deep Dive Across Users, Developers, and Businesses

In this sequel to Making AI Faster, I explore why making AI better matters and share strategies across user, developer, and business perspectives.

October 14, 2025

by Gunveer Gujral

· 1,279 Views · 1 Like

Operationalizing Responsible AI: Turning Ethics Into Engineering

This article will provide a direction on how to build a reliable AI system in production by incorporating bias mitigation strategies.

October 13, 2025

by Jofia Jose Prakash

· 2,149 Views · 2 Likes

AI Infrastructure: Compute, Storage, Observability, Security, and More

In this final article, you will learn about AI infrastructure compute, storage, observability, optimization, security, and deployment architecture.

October 13, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,380 Views · 4 Likes

AI-Driven Developer Tools: Transforming the Future of Software Development

AI-driven developer tools boost speed, quality, and security in software development by automating coding, testing, and debugging.

October 13, 2025

by Ilya Dudkin

CORE

· 1,677 Views · 1 Like

Beyond Traditional Load Balancers: The Role of Inference Routers in AI Systems

Inference routing is the process of routing AI inference requests to the most suitable model based on cost, latency, quality, etc.

October 13, 2025

by Bhala Ranganathan

CORE

· 1,935 Views · 1 Like

Why Enterprise AI Needs Agentic Messaging Platforms

AI projects stall on plumbing, not progress. Agentic messaging platforms unify APIs, tools, and observability so teams can focus on AI logic.

October 13, 2025

by John Vester

CORE

· 1,280 Views

Infusing AI into Your Java Applications

An introductory tutorial for Java developers on writing AI-infused applications using Quarkus with LangChain4j. You don't need Python to write AI apps.

October 10, 2025

by Don Bourne

· 6,117 Views · 10 Likes

Long-Running Durable Agents With Spring AI and Dapr Workflows

Spring AI agentic patterns show how to coordinate multiple ChatClient calls to LLMs. We look at how Dapr Workflows can make these interactions durable and resilient.

October 10, 2025

by Mauricio Salatino

· 4,137 Views

Fixing a Test Involves Much More Than Simply Making It Pass

Learn why using Postman's 'Fix test' may mask bugs — tips to investigate failures, preserve test intent, and protect API reliability. Verify, then act.

October 10, 2025

by Stelios Manioudakis

CORE

· 4,741 Views · 3 Likes

AI-Assisted Kubernetes Diagnostics: A Practical Implementation

Proof-of-concept tool using GPT-4 to detect failing Kubernetes pods, analyze logs and events, and suggest fixes with human approval for common issues.

October 10, 2025

by Shamsher Khan

CORE

· 4,226 Views · 5 Likes

Using LLMs to Automate Root Cause Analysis in Incident Response

LLMs streamline incident response by quickly identifying root causes from logs and alerts, cutting down manual effort and downtime.

October 9, 2025

by Venkatesan Thirumalai

· 4,395 Views · 3 Likes

Evaluating LLM-Powered Voice Assistants: A Guide Beyond Traditional Metrics

A practical guide to evaluating LLM-powered voice assistants using multi-dimensional metrics covering helpfulness, accuracy, safety, and system performance.

October 9, 2025

by Surya Teja Appini

· 2,653 Views · 2 Likes

Building a Supply Chain Digital Twin Technology

Learn about digital twin technology using Python in supply chain management: model supply chain networks, enhance decision-making, and optimize operations.

October 9, 2025

by Manvinder Kumra

· 2,067 Views · 1 Like

How GenAI Can Eliminate SME Bottlenecks in Enterprise Systems

An AI-powered system, a knowledge-enabled system to explain enterprise code, reducing SME dependency and accelerating productivity.

October 9, 2025

by Monil Shah

· 1,693 Views · 3 Likes

Low Code, High Impact: A Solution Architect’s Guide to Building Scalable Community Platforms With AI and Low-Code Tools

How to build a modular, low-code community platform using Webflow, Supabase, AI-powered media generation, and Google Cloud Run.

October 9, 2025

by Rahul Ranjan

· 2,111 Views · 1 Like

Virtualization Meets Acceleration: Powering AI Workloads

AI doesn’t need new infrastructure — just smarter use of what you already have. Scale it securely and efficiently using your existing Cisco and VMware infrastructure.

October 9, 2025

by Siva Kiran Nandipati

· 2,891 Views · 1 Like

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