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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 ...
Warp Embeds AI Agents into a CLI to Provide Better Feedback Loop
Warp has added a version of its artificial intelligence (AI) agent for writing code that integrates directly within a command line interface (CLI). Company CEO Zach Lloyd said rather than working with ...
What Makes Vulnerability Scanning Effective in Fast-Moving DevSecOps Pipelines Today?
Emily Amanda | | application security, CI/CD security, context-aware scanning, developer-friendly security, DevOps security integration, devsecops, modern security tools, noise reduction in alerts, real-time scanning, Secure software delivery, security feedback loop, security in pipelines, software vulnerabilities, vulnerability management metrics, vulnerability scanningTraditional vulnerability scanning can’t keep pace with CI/CD. Learn how real-time, context-aware scanning reduces noise, speeds fixes, and enables secure DevSecOps at scale ...
Hush Security Emerges to Eliminate Need for Application Secrets
Mike Vizard | | AI agent security, API key protection, application secrets management, cloud-native security, CNCF SPIFFE, credential theft prevention, credential-free security, DevSecOps secrets management, just-in-time access controls, microservices secrets, runtime identity controls, secrets discovery, secrets sprawl, SPIFFE runtime access, zero trust secretsHush Security today emerged from stealth to provide an alternative approach to protecting application secrets using a platform that is designed to continuously discover them and then apply access controls based on ...
DevGovOps, A New Play on DevOps, or is It?
Jenn Yarnold | | AI Governance, AI supply chain security, artifact trust, compliance in CI/CD, DevGovOps, devops evolution, DevOps governance, DevSecOps vs DevGovOps, enterprise AI compliance, governance automation, governance in DevOps, JFrogswampUp2025, platform governance, responsible AI adoption, shadow AI management, software supply chain complianceDevGovOps is emerging as the next evolution of DevOps, embedding governance into software delivery pipelines. At JFrog’s SwampUP 2025, governance, AI supply chains, and compliance took center stage—positioning DevGovOps as essential for ...
JFrog CEO: AI Agents Require Practices Beyond Security, Traceability
NAPA, Calif. -- A new persona in software development, artificial intelligence (AI) agents rather than human developers, has made it imperative that foundational platforms incorporate agentic practices alongside security, traceability, and visibility ...
Cisco to Add AI Agents to Splunk Observability Platforms
Cisco today at its Splunk .Conf25 conference previewed a series of artificial intelligence (AI) agents for the Splunk Observability platform that are capable of automating the collection of telemetry data using open ...
JFrog Unveils DevOps Platform for the Agentic AI Era
JFrog at its annual swampUP conference unfurled a DevOps platform, dubbed JFrog Fly, designed to enable application developers to more easily integrate artificial intelligence (AI) agents within workflows at scale. Via the ...
JFrog Continues Leaping at swampUP
Every year, JFrog’s swampUP conference gives us a look at what’s next in DevOps, software delivery, and increasingly, AI. This year’s event in Napa did not disappoint. If you’ve followed JFrog over ...
Survey: Most IT Teams Not Prepared to Manage AI Workloads
Mike Vizard | | AI deployment challenges, AI Governance, AI operations challenges, AI workload observability, AI workload scaling, cloud cost management, IaC tools, infrastructure as code, infrastructure scalability, IT automation readiness, IT infrastructure automation, IT infrastructure modernization, IT skill gaps, platform engineering, Terraform automationA ControlMonkey survey of 300 IT leaders finds most organizations are unprepared to scale AI workloads, citing automation gaps, reliability, skills shortages, and cost challenges. Modernizing infrastructure management with IaC is critical ...
Empromptu Unveils Vibecoding Platform for Building Enterprise-Class Apps
Mike Vizard | | AI app scalability, AI application development, AI coding platform, AI coding tools, AI developer workflows, AI DevOps, AI output controls, AI response optimization, AI vs low-code platforms, enterprise AI applications, enterprise software development, explainable AI, LLMOps, RAG, retrieval-augmented generation, SOC-2 compliant AI, vibecodingEmpromptu has launched its AI coding platform for building enterprise-class applications, featuring RAG, LLMOps, explainability, and SOC-2 compliance. Designed for scalability, accuracy, and predictable pricing, it aims to outperform vibecoding tools and ...
Perforce Adds Small Language Model to Create Synthetic Data for App Testing
Mike Vizard | | AI in DevOps, air-gapped IT environments, compliance testing AI, data masking automation, DevOps AI, secure application testing, small language model (SLM), synthetic data testingPerforce has added AI to its Delphix platform, enabling DevOps teams to use small language models (SLMs) for secure synthetic data testing—even in air-gapped, regulated environments. The update automates data masking, supports ...
