Context Engineering is the Key to Unlocking AI Agents in DevOps
Explore how context engineering is essential for transforming AI agents from experimental prototypes to reliable production tools in DevOps. Understand its impact on automation workflows, accuracy, and scalability.
ControlMonkey Extends IaC Automation Reach to Restore Network Services
ControlMonkey has extended its platform for automating infrastructure-as-code (IaC) to add an ability to reprovision network services following a disruption in service. Company CEO Aharon Twizer said this extension to the Cloud Configuration Disaster Recovery platform, which the company launched last year, makes it possible to use Terraform code to programmatically reconfigure networking services among others […]
Postman Adds Ability to Invoke API Code From Within Git Workflows
Discover how Postman’s new feature allows software engineering teams to manage API specifications, collections, and environments directly from Git repositories, simplifying workflows for AI agents in the development process.
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.
Tool Fragmentation is Breaking Delivery Context — Here’s What Teams are Learning
Explore the emerging crisis in application delivery caused by tool fragmentation in modern software development. This article discusses the need for semantic interoperability, context preservation, and a shift from linear pipelines to graph-based architectures to enhance efficiency and reduce cognitive load for developers
Secrets Management Failures in CI/CD Pipelines
Explore the critical role of secrets management in CI/CD pipelines and its impact on cybersecurity. This article highlights the risks of credential exposure, the importance of implementing strong security practices, and how organizations can ensure robust defenses against breaches and supply chain attacks.
SRE vs. DevOps is a False Choice: Here’s the Unified Model That Works
DevOps and site reliability engineering (SRE) are complementary strategies that enhance both speed and reliability in software development. While DevOps focuses on collaboration and automation to break down silos between development and operations, SRE emphasizes engineering reliability through metrics and accountability. By integrating both approaches, organizations can foster high-quality software delivery that meets reliability standards, streamline incident response, and utilize data-driven decision-making to maintain system performance.
Beyond Automation: How Generative AI in DevOps is Redefining Software Delivery
Generative AI (GenAI) is revolutionizing DevOps by automating manual tasks, enhancing productivity, and reducing errors. By integrating GenAI, teams can streamline workflows and democratize expert knowledge. However, managing risks such as data privacy and AI-generated errors remains critical.
Former GitHub CEO Bets $60M That Developer Tools Need a Factory Reset for the AI Age
Thomas Dohmke’s new company, Entire, aims to redefine the software development lifecycle for AI-driven coding by focusing on post-code generation processes. With a $60 million seed round, Entire’s first product, Checkpoints, enhances visibility into AI-generated code, addressing the challenges of governance and review for DevOps teams.
Google Launches Developer Knowledge API to Give AI Tools Access to Official Documentation
Google’s new Developer Knowledge API and MCP server provide AI assistants with direct access to up-to-date Google developer documentation.
Why Responsible AI Isn’t Optional in DevOps — it is the Next Frontier of Ownership
The integration of AI in DevOps brings both opportunities and accountability challenges. This article explores the implications of AI decision-making within CI/CD pipelines and emphasizes the need for governance frameworks to ensure responsible AI use while maintaining trust and efficiency.
Bot-Driven Development: Redefining DevOps Workflow
Explore the transformative impact of bot-driven development (BotDD) in DevOps, where AI-powered tools drive significant parts of the software lifecycle. Learn how this evolution combines human insight with intelligent automation to enhance productivity, reduce errors, and streamline workflows.
Please Grow Up, Coder Launches AI Maturity Self-Assessment Tool
Coder introduces an AI maturity self-assessment service to help organizations evaluate their AI adoption in software development. As teams transition from ad hoc usage to structured workflows, this tool addresses the need for governance and oversight in AI-driven projects.
The Four Knobs of AI Agent Reliability: A DevOps Perspective
AI agents aren’t chatbots—they’re systems that act. This guide cuts through the hype to show how DevOps teams can configure, trust, and run AI agents reliably in production.
Resilient Middleware at Scale: Using YAML and Ansible to Harden Apache, WebLogic and Tomcat
Transform your middleware into a resilient powerhouse with automation, consistent configuration, and progressive delivery. Discover how to reduce downtime and increase stability across Apache, Tomcat, WLS, and more.
GitLab Delivers on AI Agents Promise to Automate DevOps Workflows
GitLab today made generally available an agentic artificial intelligence (AI) platform that automates software engineering tasks ranging from planning to application security. Coinciding with the release of version 18.8 of the core GitLab platform, the GitLab Duo Agent Platform initially provides access to seven AI agents that DevOps teams can assign a range of tasks […]
Security Controls That Slow Teams Are Usually Poorly Designed
Discover strategies to enhance security controls in DevOps, emphasizing the shift from gates to guardrails and the importance of designing around real workflows.
Part 1: Death of the Toil: How AI Agents Are Replacing Traditional Runbooks
Part one of a three-part series: Discover how AI-driven reasoning agents are revolutionizing SRE practices by eliminating traditional toil and enhancing incident management.
Best of 2025: The DevOps Bottleneck: Why IaC Orchestration is the Missing Piece
If you work in DevOps, you’ve heard it a thousand times: “Do more with less.” More automation, more security, more reliability—but with the same (or fewer) people. Meanwhile, your development teams keep growing, pushing out new features at breakneck speed. Yet somehow, the infrastructure team is supposed to scale magically to keep up. Let’s be […]
Best of 2025: GitHub Copilot Evolves: Agent Mode and Multi-Model Support Transform DevOps Workflows
GitHub Copilot adds Agent Mode with MCP support to all VS Code users, bringing agentic capabilities and multi-model choice that will revolutionize DevOps workflows.
Enabling the Next Infrastructure Paradigm: Automation, Infrastructure as Code, and Cloud Migrations
In a modern enterprise digital landscape, organizations are increasingly migrating between cloud platforms not merely for technical benefits but to support strategic business imperatives ranging from cost savings to market expansion. This shift represents a fundamental rethinking of how modern enterprises approach their technology infrastructure. Techstrong Research polled our community of infrastructure and systems management […]
AWS Transform Modernizes Any Codebase, App, API or Runtime
Platforms, paradigms, processes and processing itself all evolve. Because the information technology industry crosses from one chasm to another on an apparently endless loop of perpetual change, applications and wider systems need to be almost continually modernized. Amazon Web Services wants to enable that process with AWS Transform, a service that now ships with new […]
Why Up to 70% of SRE Initiatives Stall Before They Scale — and How to Break the Plateau
Many SRE initiatives stall because organizations adopt the title without the principles. True SRE success requires leadership vision, cultural change, shared KPIs and continuous maturity measurement—not tools alone.