The Latest and Popular SDLC Topics

Create fully functional ChatGPT apps using AI — no coding needed. Build and deploy interactive UI widgets directly inside ChatGPT in just minutes.

October 31, 2025

by Thomas Hansen

CORE

· 2,057 Views · 4 Likes

Keyword vs Semantic Search With AI

Learn in this article how to build keyword-based and semantic search in MariaDB using Python, LangChain, FastAPI, and AI embeddings.

October 30, 2025

by Alejandro Duarte

CORE

· 1,995 Views · 4 Likes

Building Reactive Microservices With Spring WebFlux on Kubernetes

Spring WebFlux on Kubernetes delivers high-throughput, low-latency I/O with fewer resources using reactive IO, Resilience4j, and metrics-based autoscaling.

October 30, 2025

by Mikhail Povolotskii

· 4,659 Views · 1 Like

Improving Developer Productivity With End-to-End GenAI Enablement

Build an end-to-end developer enablement hub locally with GenAI, automating everything from requirements to deployment to boost productivity and streamline workflows.

October 30, 2025

by Nabin Debnath

· 2,627 Views · 2 Likes

Building a New Testing Mindset for AI-Powered Web Apps

Learn about AI-powered testing strategies to ensure your intelligent systems are reliable, ethical, and aligned with business goals.

October 30, 2025

by Kailash Pathak

CORE

· 2,269 Views · 2 Likes

From Autocomplete to Co-Creation: How AI Changes Developing/Debugging Workflows in Engineering

AI is not a replacement for engineers but a powerful partner that accelerates coding, debugging, and learning; human judgment still drives the real innovation.

October 29, 2025

by Aishwarya Murali

· 2,540 Views · 1 Like

Emerging Patterns in Large-Scale Event-Driven AI Systems

Build scalable AI event pipelines with Kafka to enable continuous learning systems that perceive, reason, and act in real time.

October 29, 2025

by Devdas Gupta

· 2,910 Views · 4 Likes

ZEISS Demonstrates the Power of Scalable Workflows With Ampere® Altra® and SpinKube

ZEISS partnered with Ampere, Fermyon, and Microsoft to cut cloud costs by 60% using SpinKube and WebAssembly for scalable, on-demand workloads.

October 29, 2025

by Scott Fulton III

· 3,866 Views · 4 Likes

End of Static Knowledge Bases? How MCP Enables Live RAG

Learn why static RAG systems fail over time and how the Model Context Protocol (MCP) enables live, hybrid AI architectures that stay accurate and up to date.

October 29, 2025

by Janani Annur Thiruvengadam

CORE

· 2,565 Views · 2 Likes

Series (2/4): Toward a Shared Language Between Humans and Machines — From Multimodality to World Models: Teaching Machines to Experience

Explores technologies attempting to bridge the gap through perception: multimodal systems, digital twins, and research efforts to create World Models.

October 29, 2025

by Frederic Jacquet

CORE

· 2,157 Views · 1 Like

A Developer's Practical Guide to Support Vector Machines (SVM) in Python

Learn how to build, tune, and evaluate high-performance SVM models in Python using Scikit-learn with best practices for scaling, pipelines, and ROC-AUC.

October 29, 2025

by Soumya Banerjee

· 2,666 Views · 2 Likes

HSTS Beyond the Basics: Securing AI Infrastructure and Modern Attack Vectors

HTTP Strict Transport Security (HSTS) is a web security policy mechanism that helps protect websites against protocol downgrade attacks and cookie hijacking.

October 29, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,240 Views · 4 Likes

Building Cloud Ecosystems With Autonomous AI Agents: The Future of Scalable Data Solutions

Autonomous AI agents transform cloud ecosystems by automating data workflows, enhancing scalability, governance, and real-time analytics for resilient operations.

October 28, 2025

by Aravind Nuthalapati

CORE

· 10,575 Views · 1 Like

Production-Ready Multi-Agent Systems: From Theory to Enterprise Deployment

Learn in this article why single AI agents fail and how multi-agent systems used by Uber, LinkedIn, and Klarna achieve 3x faster performance and 40% lower costs.

October 28, 2025

by Praveen Chinnusamy

· 24,361 Views · 2 Likes

Amazon Bedrock Guardrails for GenAI Applications

Guardrails let you create responsible AI policies for generative AI apps. Set limites on topics and content, filter to block or mask unwanted outputs, then apply, test, and version guardrails across models for safety and consistency.

October 28, 2025

by Prabhakar Mishra

· 2,528 Views

Unpacking MCP Security: What You Need to Know

MCP supercharges AI agents by bridging LLMs and real-world tools, but may open the door to security gaps. A quick look at security challenges and how to resolve them.

October 28, 2025

by Rushil Shah

· 1,733 Views

Writing (Slightly) Cleaner Code With Collections and Optionals

See how utility methods provided by Kilo's Collections and Optionals classes can help you write more readable and maintainable Java code.

October 27, 2025

by Greg Brown

· 2,777 Views · 1 Like

Set Up Spring Data Elasticsearch With Basic Authentication

Guide to configure SSL communication with Elasticsearch via Spring Data Elasticsearch. Additionally, the communication is secured with BASIC authentication.

October 27, 2025

by Arnošt Havelka

CORE

· 2,185 Views

Using Schema Registry to Manage Real-Time Data Streams in AI Pipelines

Learn how schema registries ensure data consistency, integrity, and scalability in real-time AI pipelines using Apache Kafka and modern streaming tools.

October 27, 2025

by Gautam Goswami

CORE

· 2,494 Views · 3 Likes

Anthropic’s Model Context Protocol (MCP): A Developer’s Guide to Long-Context LLM Integration

Anthropic’s Model Context Protocol (MCP) standardizes how AI applications provide context to LLMs. Learn more about MCP and its practical uses.

October 27, 2025

by Naresh Dulam

· 6,023 Views · 4 Likes

The Latest Popular Topics