Five Key Steps for Turning Developers into Appsec Champions
Today’s fast-paced software development landscape can often create friction between development teams and their application security (AppSec) counterparts. While everyone wants to create a safe and successful product, their approaches differ, and developers are pressured to deliver features quickly, while security teams are measured on their ability to minimize risk. No company can afford development […]
What are the Key Challenges in Mobile App Testing?
Testing mobile applications (apps) is a crucial process used to ensure that an app is fit for use, effective and free of defects.
WaveMaker UI Code Accelerator Pictures Pixel Perfection
WaveMaker AutoCode identifies and generates components from Figma designs, enabled for proprietary design systems to remove long-standing first-mile bottleneck in app development.
OpenAI’s o3-mini Brings Enhanced AI Capabilities to GitHub’s Developer Tools
GitHub integrates OpenAI’s o3-mini model into Copilot and GitHub Models, bringing enhanced AI reasoning capabilities to developers while maintaining fast response times.
Five Great DevOps Job Opportunities
Game on. Our round-up of the DevOps job market this week includes a DevOps and SRE role with Boston Red Sox and Fenway Sports Management.
Uplevel Adds Consulting Service to Reengineer Software Development
Uplevel has launched a consulting service to help organizations modernize their software engineering development practices.
Your Test Data Service is Outdated – Here’s Why (And What to Do About It)
Outdated test data practices continue to hold back organizations, creating bottlenecks in delivery and compromising software quality.
Perforce AI Testing Tool Eliminates Need of Scripts
Perforce Software this week added an ability to use artificial intelligence (AI) in place of scripts to test mobile and web applications using its Perfecto platform. Stephen Feloney, vice president of product management at Perforce, said the AI Validation capability visually inspects applications rather than simply creating an AI copilot to generate scripts. That approach […]
Why Validated DevOps is the Path Forward for Regulated Software
Validated DevOps is a groundbreaking approach that combines the speed of modern software development with the rigorous validation required for safety-critical product compliance.
Driving Quality and Efficiency in QA With Kaizen and Project Management Best Practices
Kaizen, a philosophy of continuous improvement that, when combined with collaboration and visionary leadership, can turn QA teams into well-oiled machines of productivity and innovation.
The Future of DevOps: Key Trends, Innovations and Best Practices in 2025
This article explores the latest trends and innovations in the world of DevOps and how organizations can stay ahead of the curve in this rapidly changing landscape.
Harness Applies AI to Chaos Engineering Testing
Harness today added a bevy of capabilities to its chaos engineering platform, including a generative artificial intelligence (GenAI) tool that makes creating and managing these types of tests more accessible to a wider range of software engineers.
Addressing Data Synchronization Challenges in DevOps
The shared database approach and its pros and cons, along with alternative data synchronization strategies to help enterprises navigate these challenges.
DevOps Scaling Practices — A Roadmap With Challenges and Strategies
As DevOps aims to enhance software delivery lifecycles with improved quality, scaling DevOps can help enterprises grow.
Addressing the Problem of Drift Detection and Drift Cause Analysis
Perhaps the biggest challenge of IaC operations is drifts — a scenario where runtime environments deviate from their IaC-defined states, creating a festering issue that could have serious long-term implications.
Survey Surfaces Shift in Java Platform Preferences
A survey of 2,039 Java professionals finds 88% work for organizations considering moving away from Oracle Java because of cost, preference for open source software, Oracle sales tactics, uncertainty created by ongoing changes to pricing and licensing and restrictive Oracle policies.
Decentralized Application Development with Mathias Buus Madsen
Mathias Buus Madsen, CEO of Holepunch, joins the conversation to challenge the industry’s heavy reliance on centralized platforms. The tech world increasingly gravitates toward centralization and large data centers, and Mathias advocates for a return to the decentralized roots of the internet. He highlights how centralized systems, despite their efficiencies, introduce limitations like privacy concerns, […]
Endor Labs Adds Ability to Identify Open Source AI Models to SCA Tool
Endor Labs today added an ability to detect open-source artificial intelligence (AI) models downloaded from the Hugging Face repository that have been incorporated into source code.
Coding AIs in Large-Scale Software Engineering with Scott Dietzen
Scott Dietzen, CEO of Augment Code, discusses how artificial intelligence (AI) is reshaping large-scale software engineering. He shares his background in machine learning and his experience working with massive, complex codebases, highlighting the challenges engineers face when maintaining and updating them. Then he explains how AI can help developers navigate these challenges by understanding […]
Bridging Creativity and Technical Expertise: How Designers and Engineers Drive Optimal Product Development
In the world of product development, collaboration between designers and engineers is pivotal to creating innovative, user-centered and technically sound solutions.
Scaleups are Turning to Low Code to Build Modern Internal App Ecosystems
Exploring how engineering leaders are adopting low code to reshape the development of internal tools and drive operational excellence.
Optimizing Splunk Cloud Performance for Large-Scale Deployments
Optimizing Splunk’s performance in large-scale deployments requires a deep understanding of its capabilities and the ability to fine-tune its configurations to meet specific needs.
How to Measure the Impact of Generative AI Tools in Software Development
Organizations must measure productivity gains, code acceptance rates and other key metrics to understand the actual value of Gen AI development tools.