Business of DevOps
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 ...
Tool Fragmentation is Breaking Delivery Context — Here’s What Teams are Learning
Arul Watson | | access control, application security, automation, CI/CD pipelines, Cloud Security, credential exposure, Cybersecurity, devsecops, incident response, risk management, secrets management, security best practices, supply chain security, token managementExplore 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 ...
Secrets Management Failures in CI/CD Pipelines
Johnbosco Ejiofor | | access control, application security, automation, CI/CD pipelines, Cloud Security, credential exposure, Cybersecurity, devsecops, incident response, risk management, secrets management, security best practices, supply chain security, token managementExplore 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 ...
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 ...
Prompt Injection Isn’t Just a Chat Problem — It’s a DevOps Threat
Prompt injection is evolving into a serious DevOps threat, enabling AI agents to misuse tools, leak secrets and execute unauthorized actions unless governed with least privilege, sandboxing and human approval. ...
Five Great DevOps Job Opportunities
Explore the latest DevOps jobs from top companies like Wells Fargo, Workday Inc., and HarbourVest with competitive salaries across various locations ...
Forget the Vibe-Coders, We Need to Support Responsible AI-Assisted Development
Guillaume Moigneu | | AI in development, automated security, build pipelines, developer roles, Human Oversight, orchestration, responsible AI use, software design, Software infrastructure, spec codingWhile AI tools are increasingly used in development, they should enhance rather than replace human input. Developers must shift from merely writing code to orchestrating and validating AI-generated code. This 'spec coding' ...
SRE vs. DevOps is a False Choice: Here’s the Unified Model That Works
Michael Chukwube | | application performance, automation, collaboration, continuous integration, culture of learning, devops, incident response, platform engineering, reliability metrics, site reliability engineering, software development, SREDevOps 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 ...
Beyond Automation: How Generative AI in DevOps is Redefining Software Delivery
Albert Hilton | | AI risks management, automation, Code Generation, data privacy, DevOps transformation, DevOps workflows, GenAI in DevOps, generative AI, human-in-the-loop, productivity gains, software development, technical debtGenerative 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 ...
When Open Networks Meet AI Coding: A Tsunami of Smart Enterprise Apps
Vikram Srivats | | AI-powered coding, digital transformation, enterprise technology, innovative connectivity, intelligent applications, network-aware applications, open telecom APIs, programmable networks, software development, telecom trendsThe enterprise technology landscape is on the verge of a major transformation, driven by two key trends: open telecom network APIs and AI-powered coding platforms. This convergence allows businesses to create intelligent, ...
Rein Security Emerges to Analyze Reachability of Application Vulnerabilities
Mike Vizard | | AI-generated vulnerabilities, API security, application security, continuous vigilance, devsecops, funding, Matan Bar Efrat, performance overhead, security automation, software development, software security testing, vulnerability managementRein Security has emerged from stealth to launch an application security platform capable of determining the reach of a vulnerability based on which libraries and application programming interfaces are actually running in ...
