Contributed Content
The Developer’s Guide to Agentic AI: The Five Stages of Agent Lifecycle Management
Dan Fernandez | | adaptive AI systems, agent lifecycle management, agent-based systems, agentic enterprise, AI adaptability, AI agents, AI ALM, AI development lifecycle, AI Governance, AI in enterprise, AI innovation, autonomous agents, business automation, continuous AI improvement, enterprise transformation, generative AI, intent-driven agents, Salesforce Agentforce, self-improving AI, Stanford SIRIUS frameworkDiscover how AI agents evolve from task executors to adaptive, self-improving systems through Agentic Lifecycle Management, driving agility and innovation ...
The Cloud Reset: DevOps Brings Workloads Back to Private Clouds
Janakiram MSV | | automation, cloud-first, cost predictability, data governance, data sovereignty, devops, DevOps tooling, DevOps transformation, devsecops, FinOps, infrastructure as code, infrastructure management, IT operations, private cloud, security and compliance, self-service provisioning, workload placementDevOps teams are leading a “cloud reset,” moving workloads from public to private clouds for greater control, security and cost predictability. As organizations mature beyond cloud-first strategies, hybrid and private cloud environments ...
How Software Engineers and Students Use AI to Move Faster than Ever (Without Breaking Things)
Vivek Vaidya | | agentic AI, AI adoption, AI and students, AI coding tools, AI collaboration, AI engineers, AI evolution, AI in education, AI in software development, AI in universities, AI innovation, AI revolution, AI skills, AI skills gap, AI startups, AI Tools for Developers, AI transformation, AI workforce adaptation, AI-native companies, AI-native design, AI-native learning, AI-powered development, AI/ML, artificial intelligence, augmented development, augmented intelligence, Cursor, developer productivity, digital transformation, Enterprise AI, future of work, human-AI collaboration, LLMs, machine learning, super{set}, VC investment in AIWe’re living through the AI revolution — or more accurately, the age of augmented intelligence. From agentic AI tools transforming software development to AI-native education shaping the next generation, super{set} explores how ...
Establishing Visibility and Governance for Your Software Supply Chain
Parth Patel | | application security, asset visibility, attack surface management, build-time security, Cloud Governance, context-aware security, cybersecurity governance, dependency tracking, eBPF runtime analysis, Kubernetes Gatekeeper, Log4Shell, open source security, provenance attestation, risk reduction, SBoM, SBOM automation, secure software development, SLSA, software bill of materials, software provenance, Software Supply Chain Security, supply chain risk, Third-party Dependencies, VEX, vulnerability management, vulnerability prioritizationAsset visibility and cloud governance start with SBOMs, VEX, and provenance tracking. Learn how to secure your software supply chain ...
Secure By Design, Secure by Default
Julian Browne | | adaptive security, continuous improvement, continuous security, cyber resilience, devops, devops best practices, devsecops, dynamic systems, embedded security, enterprise compliance, incident response, modern software delivery, production monitoring, real-time security, secure by default, secure coding, secure-by-design, security governance, security in production, security strategy, security theatre, shift left security, software security, static analysis, threat modeling“Shift left” alone won’t secure software. Real security must be embedded continuously across design, development, and production—not just moved earlier ...
When Metrics Overwhelm: How SREs Help Engineers Reclaim Focus
Neel Shah | | alert fatigue, contextual logging, developer experience, developer productivity, devops, DevOps transformation, Distributed Tracing, engineering efficiency, incident response, metrics and logs, observability, observability tooling, root cause analysis, site reliability engineering, software reliability, SRE, system resilience, war room cultureObservability promised insight but delivered alert fatigue. Learn how SREs are redefining observability to empower developers and restore real engineering value ...
Technical Debt: Make Developers Happier Now or Pay More Later
In a survey of over a thousand CIOs, CTOs, CISOs and other tech execs conducted by Protiviti, organizations spend an average of 30% of their total IT budgets on managing technical debt ...
How to Eliminate DevOps Toil Using Automation Scripts
Durojaye Olusegun | | 15-minute rule, ansible, automation best practices, automation documentation, automation framework, automation ROI, automation scripts, automation testing, automation validation, CI/CD optimization, developer productivity, DevOps efficiency, DevOps maintenance, DevOps time savings, devops toil, DevOps workflows, eliminate toil, engineering automation, engineering productivity, fail-safe scripts, idempotent scripts, infrastructure automation, manual task reduction, observability in scripts, orchestration vs scripting, reduce manual DevOps work, repetitive task automation, script automation, TerraformEngineering teams spend nearly 15 hours a week on repetitive DevOps toils that drain productivity. This guide explains how to identify high-impact automation opportunities, apply the 15-minute rule, and build sustainable script-based ...
Coding Agent Teams: The Next Frontier in AI-Assisted Software Development
Derek Ashmore | | agent-based programming, agentic AI, AI code generation, AI coding agents, AI developer tools, AI development frameworks, AI DevOps, AI in software engineering, AI pair programming, AI programming teams, AI-assisted software development, AutoGen, autonomous coding agents, Claudeflow, coding agent frameworks, coding automation, collaborative AI agents, CrewAI, developer productivity, generative AI for developers, intelligent coding assistants, MetaGPT, multi-agent AI teams, multi-agent orchestration, OpenCode, software development automationDevelopers are moving beyond single AI coding assistants to teams of specialized agents, boosting speed, scalability, and collaboration in software development ...
Whose Ops is it Anyway? How IDPs, AI and Security are Evolving Developer Culture
Olivier de Turckheim | | AI and ML workloads, AI in DevOps, AI infrastructure, AI-driven operations, AIOps, automation in DevOps, continuous delivery, Cycloid plug-ins, developer experience, devops culture, devops evolution, DevOps scalability, DevOps security integration, DevOps transformation, devsecops, digital transformation DevOps, gitops, IDP, intelligent automation, internal developer platforms, MLOps, modern DevOps strategy, operational resilience, platform engineering, platform governance, secure CI/CDIt was only a few years ago that perhaps the biggest hurdle for DevOps advocates was convincing leadership that it was worth the investment. That conversation has since shifted. In most organisations ...
Developer Experience: Overcoming 6 AI-Induced Challenges
Yaniv Sayers | | AI challenges in DevEx, AI in software development, AI model, AI productivity, AI tool fragmentation, AI trust issues, cognitive overload, developer experience, devex, explainable AI, hybrid AI architecturesThe use of artificial intelligence brings high hopes and expectations in the technological world, promising changes to the way businesses operate. A staggering 79% of companies are now or will be using ...
Common IaC Security Issues and How to Fix Them
Durojaye Olusegun | | audit logging, automated compliance, CI/CD pipeline security, cloud infrastructure, cloud misconfiguration, cloud security incidents, CloudFormation, configuration drift, devsecops, drift detection, hardcoded secrets, IaC automation, IaC best practices, IaC governance, IaC security, IaC vulnerabilities, infrastructure as code, least privilege access, policy as code, secrets managementLearn the top five Infrastructure as Code (IaC) security vulnerabilities, their fixes, and best practices to prevent misconfigurations, drifts, and breaches ...
