Tag: software development
Microsoft Executives Warn AI Could Limit the Developer Talent Pipeline
Generative AI is transforming software development at remarkable speed. But in a new paper written by two Microsoft executives, Azure CTO Mark Russinovich and Scott Hanselman, VP of the developer community, argue ...
Google ADK Opens the Door to AI Agents That Work Inside Your DevOps Toolchain
Tom Smith | | Agile workflows, AI agents, AI-Driven Development, AI/ML ecosystem, CI/CD, code management, database queries, devops, engineering workflows, GitHub integration, Google ADK, MPL-based integrations, observability, observability-native frameworks, Pinecone, project management tools, software development, system performance, telemetery, third-party integrations, workflow automationGoogle ADK adds integrations for GitHub, GitLab, Jira, MongoDB, and seven observability tools. AI agents can now work inside your DevOps toolchain ...
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 ...
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 ...
Please Grow Up, Coder Launches AI Maturity Self-Assessment Tool
Adrian Bridgwater | | ai, application development, automation, developers, observability, security, software developmentCoder 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 ...
Google Adds Hooks to Gemini CLI for Customized AI Workflows
Tom Smith | | AI coding assistant, AI Governance, AI hooks, AI lifecycle control., AI policy enforcement, AI workflow optimization, ci/cd tools, customize AI assistant, Gemini CLI hooks, middleware AI tools, software development, software lifecycle engineering, user privilege managementEnhance Gemini CLI with new hooks to customize AI assistant workflows without code changes. Improve control and optimize AI for development teams ...
AI Is Forcing a Rethink of Software Testing and QA
SmartBear vice president of AI and architecture Fitz Nowlan explains why maintaining software integrity in the age of artificial intelligence requires organizations to double down on testing and quality assurance. He discusses ...
(Almost) Seven Signs That Your JavaScript Project is Legacy
Artem Barmin | | Code Assessment, code quality, Component Architecture, Engineering Practices., ES6 Syntax, incident management, jQuery Usage, Legacy JavaScript, Modern JavaScript, Outdated Dependencies, Runbooks, software development, software modernization, testing strategy, web developmentLearn how to identify legacy JavaScript projects by examining outdated practices, architectural choices, and testing strategies that can hinder development ...
Predict 2026: Why AI Will Force DevOps to Reinvent Itself
Mike Vizard | | agentic AI, AI in DevOps, AI-Driven Development, Analyst Insights, CI/CD Automation, cloud infrastructure, data governance, DevOps Dozen Awards, DevOps transformation, devsecops, Innovation in Software Engineering., Operational Strategies, Predict 2026, SaaS Business Models, security integration, software development, technology trendsJoin us at Predict 2026 to explore how AI is transforming the DevOps landscape, enhancing software delivery, and redefining operational strategies ...
