Sawmills Emerges From Stealth to Apply AI to Managing Telemetry Data
Sawmills today emerged from stealth to launch a platform that makes use of artificial intelligence (AI) models to manage telemetry data more cost-effectively.
2025 Predictions for DevOps and Application Development
Hi everyone. I’m Mitch Ashley, VP and practice lead for DevOps and application development with the Futurum Group. These are my predictions for 2025. First, 2025 is go-time for AI in production. A lot of AI projects have been stuck in the pilot and prototype phases. Matter of fact, some estimates say that only a […]
Empower Developers to Preserve Human Agency in Today’s World of Automation
A pressing issue facing the tech industry is how to strike the right balance between humans and technology regarding AI.
AI Coding Assistants are Not the Solution You Think
That’s when the true potential of AI can be realized when the industry shifts focus from simply accelerating coding time to improving the way engineers access and manage the information they rely on to do their jobs.
The Future of AI Development is Global: Building World-Class Teams Across Borders
As artificial intelligence (AI) continues to transform software development, companies face a critical challenge: How to build and maintain world-class AI development teams while managing costs and ensuring quality.
Anjali Arora on DevOps Teams Embracing Platform Engineering
Anjali Arora, chief technology officer at Perforce Software, discusses the inefficiencies in DevOps infrastructure and the role of platform engineering in addressing them. She notes the shift from traditional IT-managed infrastructure to DevOps-driven provisioning, and how it’s led to a fragmented and costly environment. To counter this, organizations are turning to platform engineering to strike […]
DevOps Evolution: From Movement to Platform Engineering in the AI Era
Dynatrace’s Andi Grabner discusses how DevOps is transforming through platform engineering and AI-driven automation to scale best practices and reduce friction.
Copado Adds Support for Salesforce Data Cloud to DevOps Platform
Copado this week extended the reach of its DevOps platform to include the Salesforce Data Cloud service, which is at the core of the artificial intelligence (AI) agents that Salesforce hopes organizations will build and deploy on its platforms.
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 […]
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.
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 […]
Reality Check: Current State of AI Code Generation Tools
AI code generation tools show promise but face real-world challenges. Analysis reveals the current state of the technology and what it means for development teams.
DryRun Security Defines Application Security Policies Using Natural Language
DryRun Security today added an ability to use natural language to define and enforce application security policies as application developers build software.
How AI-Based Insights Can Transform Observability
How AI-powered insights can help transform observability and enable organizations to better comprehend and manage their applications.
AI-Driven Microservices: The Future of Cloud Scalability
AI-driven microservices represent more than an incremental improvement — they are a fundamental shift in how we approach distributed systems.
Devin’s Latest Update Brings Major Enterprise Features and Developer Improvements
Cognition AI’s Devin update introduces enterprise management, smarter repository handling, and flexible billing, making AI-assisted development more practical at scale
Five Trends That Will Drive Software Development in 2025
In 2025, developers will broaden the scope of how they use AI with promising new applications for reducing technical debt and improving security.
The Evolution of DevOps: Trends Shaping the Future
AI has become an integral component of DevOps, offering predictive analytics and automated decision-making capabilities that significantly improve efficiency.
Pythagora AI Makes Iterative AI Coding Tool Widely Available
Pythagora AI today made generally available an artificial intelligence (AI) coding tool that is designed to more interactively enable application developers to automate the writing of code and streamline debugging workflows.
Survey: AI Tools are Increasing Amount of Bad Code Needing to be Fixed
Survey findings include respondents noted that AI tools are increasing the blast radius of the amount of bad code that needs to be debugged.
Getting More Out of GitHub With Advanced Product Requirements
There are plenty of challenges throughout the software development lifecycle, but one that has proven to be a make-it-or-break-it for projects is requirements management. Requirements engineering is more than simply listing desired features. It is a comprehensive approach to capturing, organizing and evolving project specifications throughout development. Yet this segment of the development process is […]
Tabnine Adds Ability to Track Provenance of Code Generated by AI Models
Tabnine this week previewed an ability to track the provenance and attribution of code that if generated by a large language model (LLM) might create potential liabilities for organizations that included it as an application.