Tag: sdlc
Black Duck Adds AI Tool to Analyze and Fix Code in Real Time
Black Duck today added a tool for analyzing and remediating code that is directly integrated into artificial intelligence (AI) coding tools. Company CEO Jason Schmitt said Black Duck Signal makes it possible ...
Why Junior Developers Remain Essential in the Age of AI
Raj Sethi, senior vice president and go-to-market leader for software development lifecycle (SDLC) at GlobalLogic, pushes back on the narrative that generative AI will eliminate the need for junior developers. He argues ...
It’s Time to Rethink Access Control for Modern Development Environments
As development environments evolve at breakneck speed, our approach to securing them remains stuck in the past. I've watched countless organizations implement robust Identity and Access Management (IAM) solutions, deploy Identity Governance ...
Humans in the Loop: Governing AI Agents Across the SDLC
AI agents are moving from novelty to necessity in software delivery—and with that shift, the developer’s role is changing. Emilio Salvador, vice president of strategy and developer relations for GitLab, explores what ...
The Future of DevSecOps: From Shifting Left to Shifting Smart
For the better part of a decade, a revolutionary idea has reshaped enterprise security: the "shift left" movement. This mantra taught us to view the software development lifecycle (SDLC) not as a ...
Securing the AI Era: How Development, Security, and Compliance Must Evolve
The Code Boom and Its Paradox We are witnessing an unprecedented shift in how software is built. With the rise of AI copilots, automated agents, and low-code platforms, code is being produced ...
The New Metrics of DevOps: Speed, Trust and Transparency
At swampUP 2025, Alan sits down with Aman Sardana and Vijay Kumar Soni to talk through one of the defining challenges of modern software delivery—how DevOps practices must evolve to accommodate the ...
Survey Surfaces Downstream DevOps Challenges Created by AI Code
A survey of 900 engineers, platform leaders and technical managers published today finds nearly two thirds (63%) report their organization is shipping code faster since adopting artificial intelligence (AI). Conducted by Coleman ...
Survey Surfaces Software Engineering Challenges Following Adoption of AI
A survey of 101 senior engineering leaders published this week finds while 87% believe their organization is “prepared” or “very prepared” to adopt artificial intelligence (AI). It’s also clear that several hurdles ...
Harness Delivers on AI Promise for DevOps
Mike Vizard | | AI agents, cloud cost optimization, devops automation, DevOps Innovation, Harness AI, knowledge graph, pipelines, sdlc, software delivery, testing automationHarness launches an AI-powered DevOps platform that uses knowledge graph–driven agents to automate pipelines, testing and operations across the software delivery lifecycle ...
MCP Emerges as a Catalyst for Modern DevOps Processes
Loreli Cadapan, VP of product at CloudBees, discusses how the Model Context Protocol (MCP) developed by Anthropic will provide the foundation for reinventing DevOps workflows. Cadapan explains that MCP acts as a ...
GitLab Preps Platform for Building and Managing AI Agents for DevOps Teams
GitLab this week made available a public beta of a platform for building, managing and orchestrating artificial intelligence (AI) agents that have been trained to automate a range of DevOps tasks and ...
