AI/ML Resources

AI as a Co-Creator, Not Just an Assistant: The Rise of Collaborative Intelligence in Software Development

AI is evolving from a passive coding assistant into an active engineering collaborator. Modern intelligent agents can now design architectures, generate tests, and even deploy full applications—moving far beyond autocomplete and syntax checks.

January 13, 2026

by Pankaj Gupta

· 1,174 Views

Supercharge AI Workflows on Azure: Remote MCP Tool Triggers + Your First TypeScript MCP Server

Remote MCP in Azure Functions exposes serverless tools for AI assistants, enabling scalable, cloud-native workflows with Azure services and bindings.

January 13, 2026

by Swapnil Nagar

· 2,170 Views · 1 Like

UX Research in Agile Product Development: Making AI Workflows Work for People

UX research in agile product development helps teams build AI workflows grounded in real user needs, reducing guesswork and improving ROI.

January 12, 2026

by Priyanka Kuvalekar

· 1,967 Views

Leveraging AI-Based Authentication Factors in Modern Identity and Access Management Solutions

Discover how AI is revolutionizing identity management by making authentication smarter, faster, more adaptive, and highly secure against evolving cyber threats.

January 12, 2026

by Atish Kumar Dash

· 1,470 Views · 1 Like

Pragmatic Paths to On-Device AI on Android with ML Kit

Use ML Kit to add on-device AI (Text/Barcode/OCR, Object & Pose, Translation) with simple Kotlin APIs-fast, offline, private.

January 12, 2026

by Mohan Sankaran

· 1,980 Views · 6 Likes

How to Build and Deploy an AI Agent on Kubernetes With AWS Bedrock, FastAPI and Helm

Learn how to build, containerize, and deploy a lightweight, cloud-native AI agent on Amazon EKS using FastAPI, AWS Bedrock, Docker, and Helm.

January 9, 2026

by Chandrasekhar Rao Katru

· 3,690 Views · 6 Likes

Essential Techniques for Production Vector Search Systems Part 2 - Binary Quantization

Proven techniques for production vector search including when to use each one, how to combine them effectively, trade offs to understand before deployment.

January 9, 2026

by Pavan Vemuri

CORE

· 2,010 Views · 3 Likes

From Code to Runtime: How AI Is Bridging the SAST–DAST Gap

A practical exploration of how AI connects static code vulnerabilities with their potential runtime exploitability in modern cloud-native applications

January 9, 2026

by Atish Kumar Dash

· 1,778 Views · 1 Like

How AI Is Rewriting DevOps: Practical Patterns for Faster, Safer Releases

AI is reshaping DevOps by accelerating development, testing, and deployment while enhancing reliability through smart automation.

January 9, 2026

by Bhanu Sekhar Guttikonda

CORE

· 2,184 Views · 2 Likes

When Services Think for Themselves: Traditional Orchestration vs. Agentic AI Microservices

Why traditional orchestration falls short and how agentic AI enables predictive, autonomous microservices for modern cloud-native architectures.

January 8, 2026

by Atish Kumar Dash

· 2,583 Views · 1 Like

Essential Techniques for Production Vector Search Systems Part 1 - Hybrid Search

Proven techniques for production vector search including when to use each one, how to combine them effectively, and trade offs to understand before deployment.

January 8, 2026

by Pavan Vemuri

CORE

· 2,141 Views · 2 Likes

Telemetry-Driven AI Architecture: Closing the Loop from UX to Models

Most Android AI features fail after launch because they don’t learn from real users — this architecture logs predictions and user outcomes.

January 8, 2026

by Mohan Sankaran

· 2,947 Views · 5 Likes

The Hidden Security Risks in ETL/ELT Pipelines for LLM-Enabled Organizations

As LLMs enter data pipelines, ETL/ELT becomes part of the AI security boundary, where untrusted inputs can introduce upstream risks.

January 7, 2026

by Vivek Venkatesan

· 3,747 Views · 2 Likes

Why Small Language Models Are Transforming AI Adoption for Everyone

Small language models (SLMs) enable faster, efficient, and on-device AI, reducing costs while making advanced AI accessible to more users and businesses.

January 7, 2026

by Sanjaykumar Ghinaiya

· 2,289 Views · 1 Like

Solving the Cold Start Problem in Edge AI: A Guide to Data-Saving Learning

Update edge AI models efficiently using Mix Up and contribution sampling to overcome domain shift with minimal data, ensuring continuous evolution without forgetting.

January 6, 2026

by Dippu Kumar Singh

· 3,636 Views

BYOLM with Spring AI & MCP: Secure, Swappable AI Everywhere

Spring AI and MCP empower BYOLM by enabling swappable language models with privacy, control, and extensibility. Learn more about this approach below.

January 6, 2026

by Soham Sengupta

· 1,616 Views

A Practical Guide to Semantic Caching With Redis LangCache

Learn how to use Redis LangCache to semantically cache LLM prompts and responses, reducing inference costs and improving performance.

January 6, 2026

by Subhashini Raman

· 3,030 Views · 2 Likes

Effectively Managing AI Agents for Testing

Agentic AI can transform testing—but only if it’s controlled. Start small, add guardrails, integrate tools, and scale autonomy once reliability and cost are proven.

January 6, 2026

by John Vester

CORE

· 4,518 Views · 1 Like

Unlocking Hidden Value in Dirty Data: A Practical NLP Pattern for Legacy Records

Legacy systems are full of free-text fields where valuable business data goes to die. NLP pipelines turn messy maintenance logs into structured, actionable insights.

January 5, 2026

by Dippu Kumar Singh

· 1,371 Views · 5 Likes

Beyond Fuzzy Matching: Engineering a Multi-Signal ML Pipeline for CRM Deduplication

This article explores using blocking, fuzzy matching, geo proximity, and a Random Forest classifier to streamline records.

January 5, 2026

by Punitha Ponnuraj

· 853 Views · 1 Like

The Latest AI/ML Topics