Tag: sdlc
Harness Acquires Codecov to Identify Untested Code
Harness this week acquired Codecov, a provider of a platform that analyzes the percentage of a codebase that has been tested, from Sentry. Brad Rydzewski, a senior vice president and general manager ...
Survey Surfaces Pervasive Adoption of AI Across SDLC
Tricentis survey reveals 68% of orgs use AI in software delivery, but 60% admit to shipping untested code, leading to massive financial and security risks ...
Continuous Security in DevSecOps: Moving Beyond One-Time Testing
James Miller | | automated security, CI/CD pipeline, continuous security, devsecops, penetration testing, SAST/DAST, sdlc, shift left security, software composition analysis (SCA), vulnerability managementWaiting for a single annual pentest to secure your application is like locking your front door only once a year and hoping for the best. In an era where 133 new vulnerabilities are reported every single ...
Survey Surfaces Significant Levels of IDP Investment to Reduce SDLC Friction
A survey of 954 IT decision-makers suggests more resources are now being allocated to reducing friction across the software development lifecycle (SDLC). Conducted by CDW, the survey finds more than two-thirds of ...
Arm Adds Free Toolkit to Analyze AI Agent Performance
Arm this week made available a free toolkit for analyzing agentic artificial intelligence (AI) workloads as they are being developed by DevOps and platform engineering teams. Earlier this year, Arm unveiled a ...
Microsoft Turns to Anthropic’s Mythos to Improve Cyber Defense
Microsoft has unveiled plans to incorporate Anthropic’s Claude Mythos Preview model and other AI models into its Security Development Lifecycle, embedding AI directly into the stages where code is written and tested ...
Can QA Reignite its Purpose in the Agentic Code Generation Era?
Tzvika Shahaf | | agentic AI, AI code generation, flaky tests, QA automation, sdlc, software testingAI-generated code is accelerating development but it exposes a deeper issue. Why deterministic infrastructure is becoming the foundation of agentic QA ...
When AI Gets It Wrong: The Insecure Defaults Lurking in Your Code
The arrival of generative AI in the software development lifecycle (SDLC) is arguably the biggest shift in coding in decades. For development teams, tools like GitHub, Copilot, and other AI assistants act ...
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 ...
Harness Adds AI Agent to Help Investigate Incidents
Harness today added an artificial intelligence (AI) agent to its portfolio that has been specifically trained to help DevOps teams investigate events that occurred prior to an incident. Tina Huang, vice president ...
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 ...
