The Latest and Popular SDLC Topics

How Can Developers Drive Innovation by Combining IoT and AI?

Discover how developers can drive innovation by combining IoT and AI to create transformative solutions and unlock new opportunities across industries.

May 16, 2025

by Harris Anderson

· 4,052 Views · 2 Likes

AI-Driven Root Cause Analysis in SRE: Enhancing Incident Resolution

This article examines how AI is transforming root cause analysis (RCA) in Site Reliability Engineering by automating incident resolution and improving system reliability.

May 16, 2025

by Nikhil Kapoor

· 4,760 Views · 5 Likes

Designing a Java Connector for Software Integrations

A Java connector unites different systems by allowing them to send information effectively while making crucial data freely available through interoperable interfaces.

May 15, 2025

by Anant Wairagade

· 7,411 Views · 1 Like

Memory Leak Due to Time-Taking finalize() Method

All objects in Java implicitly inherit from java.lang.Object. This class contains multiple methods, which can be overridden in the child class.

May 15, 2025

by Ram Lakshmanan

CORE

· 6,111 Views · 2 Likes

Developers Beware: Slopsquatting and Vibe Coding Can Increase Risk of AI-Powered Attacks

Slopsquatting and vibe coding are fueling a new wave of AI-driven cyberattacks, exposing developers to hidden risks through fake, hallucinated packages.

May 14, 2025

by Aminu Abdullahi

· 4,684 Views · 2 Likes

Unlocking AI Coding Assistants: Generate Unit Tests

This blog post instructs on creating qualitative unit tests for a Spring Boot application using an AI coding assistant and its capabilities and limitations.

May 14, 2025

by Gunter Rotsaert

CORE

· 4,171 Views · 2 Likes

Beyond Code Coverage: A Risk-Driven Revolution in Software Testing With Machine Learning

Machine learning-driven, risk-based testing targets critical risks, automates test selection, and improves software reliability.

May 14, 2025

by Gopinath Kathiresan

· 4,026 Views · 2 Likes

Intro to RAG: Foundations of Retrieval Augmented Generation, Part 1

Retrieval-augmented generation (RAG) retrieves relevant information from external sources to improve the accuracy and reliability of responses, making it a powerful tool.

May 14, 2025

by Jennifer Reif

CORE

· 3,468 Views · 3 Likes

Ethical AI in Agile

Learn all about ethical AI integration for Agile teams with four key guardrails: Data Privacy, Human Value, Output Validation, and Transparent Attribution.

May 14, 2025

by Stefan Wolpers

CORE

· 2,818 Views · 2 Likes

Agentic AI for Automated Application Security and Vulnerability Management

Explore how agentic AI enables several agents to jointly detect, fix, and verify security vulnerabilities in your codebase.

May 13, 2025

by Vamsi Kavuri

CORE

· 12,932 Views · 1 Like

Fraud Detection Using Artificial Intelligence and Machine Learning

AI/ML is revolutionizing fraud detection with automated, adaptive, real-time anomaly detection, despite challenges like interpretability.

May 13, 2025

by Nikhil Kapoor

· 2,824 Views · 3 Likes

How AI Agents Are Transforming Enterprise Automation Architecture

AI agents enhance enterprise automation through multi-layered architectures, improving efficiency and handling complex tasks across various sectors.

May 13, 2025

by Nishant Bijani

· 3,084 Views

The Role of Retrieval Augmented Generation (RAG) in Development of AI-Infused Enterprise Applications

Explore how RAG enhances enterprise AI apps by improving contextual accuracy, relevance, and response quality across real-world use cases.

May 13, 2025

by Ram Ravishankar

· 2,818 Views

AI-Based Threat Detection in Cloud Security

Learn how AI enhances cloud security with advanced threat detection methods like supervised learning, LLMs, and self-healing systems, tackling modern challenges.

May 12, 2025

by Tanvir Kaur

· 4,625 Views

Blue Skies Ahead: An AI Case Study on LLM Use for a Graph Theory Related Application

A case study showing how LLMs accelerate graph theory development, reducing coding time from hours to minutes and boosting research productivity.

May 12, 2025

by Gerald Rigdon

· 3,229 Views · 1 Like

Unlocking Data with Language: Real-World Applications of Text-to-SQL Interfaces

Leverage machine learning models to convert natural language queries into accurate and efficient SQL statements with AI-driven text-to-SQL conversion.

May 12, 2025

by Abrar Ahmed Syed

· 4,136 Views · 3 Likes

Why High-Performance AI/ML Is Essential in Modern Cybersecurity

Artificial intelligence and machine learning play a frontal role in these transformations, providing the necessary capabilities to secure digital systems effectively.

May 12, 2025

by Smarth Behl

· 4,889 Views · 1 Like

From Zero to Production: Best Practices for Scaling LLMs in the Enterprise

Learn how enterprises can scale LLMs to production with best practices in model selection, infrastructure design, cost control, governance, and monitoring.

May 12, 2025

by Salman Khan

CORE

· 13,864 Views · 2 Likes

Automating Data Pipelines: Generating PySpark and SQL Jobs With LLMs in Cloudera

Use LLMs in Cloudera to convert natural language into PySpark or SQL, run pipelines with CDE, and manage secure, governed data using Iceberg and SDX.

May 12, 2025

by Anjan Kumar Ayyadapu

· 14,693 Views · 2 Likes

How to Convert XLS to XLSX in Java

In this article, we discuss the structural differences between legacy Excel XLS format and modern XLSX, and we suggest conversion solutions for Java developers.

May 9, 2025

by Brian O'Neill

CORE

· 6,597 Views · 1 Like

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