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HackerOne Report Surfaces Massive Increase in Vulnerability Backlogs
Mike Vizard | | AI security, AI vulnerability discovery, application security, appsec, bug bounty, cyber risk, Cybersecurity, devsecops, exploit development, exposure debt, HackerOne, output handling, prompt leakage, remediation backlog, security researchers, software security, vulnerability backlog, vulnerability management, vulnerability remediation, VulnOpsHackerOne research shows vulnerability remediation is getting faster, but AI-driven discovery is expanding exposure debt even more quickly, putting DevSecOps teams under growing pressure ...
DevOps Has Always Been Hard to Define. Does a Standard Help?
Alan Shimel | | agentic AI, AI agents, AI Governance, automation, CI/CD, devops, DevOps governance, devops institute, devops maturity, DevOps practices, DevOps standard, DORA, ITIL 5, observability, OWASP agentic AI, PEOPLECERT, platform engineering, software delivery, software engineeringThe new DevOps Standard deserves a serious reading. Its lasting value will depend on whether it helps organizations apply shared principles as people and agents take on different responsibilities ...
Federated Query at Petabyte Scale: A Deployment Pattern for a Governed AI-Agent Data Layer
Pavan Gatadi | | AI agents, AI Governance, CI/CD, data architecture, data governance, data products, devops, distributed SQL, enterprise data, enterprise GenAI, federated query, HIPAA, kubernetes, MCP, observability, regulated data, role-based access control, semantic layer, Starburst, Terraform, TrinoA federated query architecture can reduce data duplication and latency while creating a governed, auditable data layer that enterprise AI agents can safely access ...
Getting to Reliable AI-Driven Development
To truly transform software delivery with AI, organizations must embrace a spec-driven approach. By grounding AI in clear specifications, this approach prevents AI from generating hallucinations while optimizing token costs by 8x–12x ...
Security Teams Are Fixing Vulnerabilities Faster Than Ever. So Why Is Software Getting Riskier?
Mitchell Johnson | | AI coding agents, AI Development, application security, automated remediation, CI/CD, dependency security, dependency selection, developer experience, devsecops, open source security, secure coding, secure software development, security policy, shift left security, software composition analysis, software risk, Software Supply Chain, technical debt, vulnerability backlog, vulnerability managementAI is speeding up dependency decisions, making point-of-selection security essential for reducing vulnerable components, downstream tickets and avoidable rework ...
Availability Should Follow the Workload, Not the Infrastructure
Don Boxley | | application recovery, automated remediation, cloud resilience, devops, disaster recovery, High availability, incident response, intelligent operations, kubernetes, mttr, operational automation, operational intelligence, platform engineering, platform maturity, production incidents, production resilience, self-healing systems, site reliability engineering, SRE, workload availabilityPlatform engineering has automated deployment but not recovery. The next maturity curve is intelligent operations that automate routine production decisions and resilience ...
Taste, Discernment, and Judgment Have Become Must-Have Engineering Skills
Gautam Korlam | | AI code review, AI coding agents, AI-generated code, autonomous coding, autonomous merge, CI/CD, code quality, code review, deterministic systems, developer productivity, devops, engineering judgment, engineering standards, human judgment, pull requests, quality gates, software architecture, software engineering, software governance, technical debtAI coding agents make code generation cheap, shifting engineering value toward standards, deterministic quality gates, contextual review and human judgment about what should ship ...
QA Automation Frameworks for Enterprise Applications
jivox team | | API testing, automated reporting, ci/cd testing, continuous integration, cross-browser testing, devops, end-to-end testing, enterprise QA, Enterprise software, flaky tests, Page Object Model, parallel testing, QA automation, Quality Engineering, regression testing, Screenplay Pattern, software testing, test automation, test data management, UI automationModern enterprise applications demand testing strategies that can keep pace with continuous delivery, distributed architectures, and increasingly complex deployment pipelines. Traditional manual testing approaches often become a bottleneck as engineering teams scale ...
AI Is Breaking Developers’ Traditional Game Testing Playbook
Anoop Tripathi | | AI game testing, AI-driven games, automated playtesting, crash reporting, dynamic NPCs, game automation, game development, game QA, gaming AI, GTA Online, LiveOps, NPC testing, player behavior, Quality Assurance, regression testing, Roblox, software testing, Square Enix, synthetic players, test automationGame testing has always been an unpredictability problem for developers. Players move in the wrong direction, trigger events out of order, or combine mechanics no designer anticipated. Even so, developers could usually ...
GitHub Slams the Brakes on Private Vulnerability Reports
Drowning in AI-generated bug reports? GitHub has a radical answer: Stop accounts from reporting them. GitHub’s new limits on bug reports aren't a solution to the AI bug-report flood. Anything but! They're ...
Ten Great DevOps Job Opportunities
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these ...
Open Source Mod Brings Rate Limits, Costs and CI Status Into View for Claude Code Users
Tom Smith | | agentic AI, AI coding agents, AI costs, AI Governance, AI observability, Anji Xu, CI/CD, Claude Code, Claude Statuspane, context windows, developer productivity, developer tools, devops, GitHub Actions, platform engineering, token usageClaude Statuspane gives developers real-time visibility into Claude Code context use, rate limits, costs and CI status, highlighting a growing need for agent observability ...
