AI
AI-Fueled Development Pushes Open-Source Risk to Extremes: Report
Artificial intelligence has shortened the timeline for software development from months to days. But according to new research, that acceleration is creating significant risks for security and compliance issues. Black Duck’s 2026 ...
Security Flaws in Anthropic’s Claude Code Risk Stolen Data, System Takeover
Jeff Burt | | AI API Security, AI coding risks, AI coding tools, AI developer tools, Anthropic Claude Code, Check Point, MCP protocol, Palo Alto Unit 42Three critical vulnerabilities found in Anthropic’s Claude Code agentic AI developer tool could be exploited simply by cloning and opening an untrusted project and lead to system takeover, stolen API keys, and ...
The Future of AI in Software Quality: How Autonomous Platforms are Transforming DevOps
Igor Kirilenko | | agentic AI, CI/CD pipelines, devops automation, software quality, static analysisAgentic AI is transforming DevOps by embedding autonomous quality checks into CI/CD pipelines, improving code security, coverage and speed ...
AWS Extends Agentic AI Capabilities of Kiro Developer Tool to Improve Code Quality
Amazon Web Services (AWS) has added two additional capabilities to its Kiro artificial intelligence (AI) coding tool that promise to make it simpler to both create higher quality software in the first ...
Survey: Adoption of AI Software Testing Slowed by Trust Issues
A new global survey from Leapwork underscores a growing tension in software development: while AI is widely viewed as essential to the future of testing, many teams remain hesitant to rely on it for ...
AWS Just Turned “Deploy to AWS” Into a Five-Word Prompt
AWS Agent Plugins give coding agents the skills to architect, estimate costs, and deploy to AWS. Type "deploy to AWS" and the agent handles the rest ...
Why AI Makes Requirements a Runtime Artifact
Tom Hollowell | | AI behavior, AI Governance, AI requirements, continuous verification, MLOps, model drift, production monitoring, requirements traceability, runtime constraintsIn traditional software, requirements are static design-time artifacts. In AI-enabled systems, they must be continuously observed and enforced in production. Learn how AI collapses the boundary between design-time and runtime, shifting requirements ...
What to do About AI’s Forced Rethink of Reliability in Modern DevOps
Leo Vasiliou | | Agentic Workflows, AI monitoring, AI observability, AI reliability, AI. analytics, business impact, CDNs, customer churn, devops, digital experience, experience-driven resilience, incident response, internet stack, KPIs, latency, LLM applications, model drift, monitoring tools, NPS, observability, performance, performance degradation, reliability, reliability strategy, revenue, SaaS, site reliability engineering, SLIs, SLOs, SRE Report 2026, Third-party Dependencies, trust, uptime, user experienceAs systems become more distributed and AI-driven, traditional uptime metrics are no longer enough. The 2026 SRE Report shows how reliability is shifting toward user experience, speed, and business impact, and how ...
Checkmarx Extends Vulnerability Detection to AI Coding Tool from AWS
Checkmarx this week revealed it has added support for the Kiro artificial intelligence (AI) coding tool provided by Amazon Web Services (AWS) to its Checkmarx Developer Assist that leverages AI to surface ...
What a ‘Good Plan’ Really Means for AI Coding Agents
Michael Parker | | Agile methodologies, AI coding agents, application delivery, CI/CD pipelines, coding efficiency, context retention, continuous improvement, Engineering best practices, error management, modernization, planning in development, software development, task execution, validation processesExplore how AI coding agents are transforming software development. This article discusses the importance of clear objectives, runnable tasks, and continuous validation in planning to ensure that the transition from idea to ...
Cline CLI 2.0 Turns Your Terminal Into an AI Agent Control Plane
Cline CLI 2.0 brings full AI coding agents to the terminal with parallel execution, headless CI/CD mode, and ACP editor support. Open source, any model ...
Google’s Conductor Now Reviews the Code it Helps You Write
Google's Conductor for Gemini CLI now reviews AI-generated code against your project standards. Agentic development just got a verification layer ...
