AI coding assistants can introduce vulnerabilities, privacy risks, and dependency issues. Learn key cybersecurity practices to safely use AI in software development.
Perforce Adds MCP Support Across Entire DevOps Portfolio
Perforce Software is making the Model Context Protocol (MCP) that artificial intelligence (AI) tools and agents invoke to access data available across its entire portfolio of DevOps platforms. Jake Hookom, executive vice president of product for Perforce, said the code management, application testing and infrastructure management tools and platforms the company provides will now all […]
Anthropic Research Shows Trade-Off Between AI Productivity and Developer Mastery
Artificial intelligence tools are now a routine part of today’s software development, promising faster output and reduced workloads. But new research from Anthropic suggests that when developers rely on AI while learning new skills, those productivity gains may come at the expense of understanding. In a randomized controlled study involving 52 mostly junior software engineers, […]
OpenAI Shifts Toward Autonomous Team Model with Codex Desktop Launch
OpenAI has launched a macOS desktop application for Codex, signaling a strategic pivot from simple artificial intelligence (AI) pair-programming to a complex command center for autonomous coding agents. The news, announced Monday, moves Codex beyond its origins as a command-line tool and IDE extension. By creating a dedicated desktop interface, OpenAI is positioning its AI […]
Why Responsible AI Isn’t Optional in DevOps — it is the Next Frontier of Ownership
The integration of AI in DevOps brings both opportunities and accountability challenges. This article explores the implications of AI decision-making within CI/CD pipelines and emphasizes the need for governance frameworks to ensure responsible AI use while maintaining trust and efficiency.
Bot-Driven Development: Redefining DevOps Workflow
Explore the transformative impact of bot-driven development (BotDD) in DevOps, where AI-powered tools drive significant parts of the software lifecycle. Learn how this evolution combines human insight with intelligent automation to enhance productivity, reduce errors, and streamline workflows.
Bot-Driven Development: Redefining DevOps Workflow
Explore the future of DevOps with bot-driven development (BotDD) that integrates AI-powered tools. Learn how intelligent agents enhance automation, testing, and project management, transforming the software lifecycle.
Please Grow Up, Coder Launches AI Maturity Self-Assessment Tool
Coder introduces an AI maturity self-assessment service to help organizations evaluate their AI adoption in software development. As teams transition from ad hoc usage to structured workflows, this tool addresses the need for governance and oversight in AI-driven projects.
Google Adds Hooks to Gemini CLI for Customized AI Workflows
Enhance Gemini CLI with new hooks to customize AI assistant workflows without code changes. Improve control and optimize AI for development teams.
Opsera Report Highlights DevOps Challenges Created by AI Coding Tools
An analysis published today by Opsera, a provider of a DevOps platform, finds that while adoption of artificial intelligence (AI) coding tools has increased developer productivity they also create more duplicate code, resulting in 15 to 18% more security vulnerabilities per line of code compared to code created by a human developer. Overall, the Opsera […]
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