AI
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 ...
Cycode Previews Ability to Identify AI Tools and Platforms Used to Write Code
Cycode today announced it is providing early access to a capability that identifies which artificial intelligence (AI) coding tools are being employed by application developers in addition to adding an AI Bill ...
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 ...
Survey Sees Developers Embracing AI Faster than Project Leaders
A survey of 1,129 developers and 50 project managers suggests that individual developers are significantly further ahead when it comes to embracing AI than managers of application development projects. Conducted by BairesDev, ...
ChatGPT Developer Mode: Full MCP Access with Serious Responsibilities
OpenAI recently released Developer Mode for ChatGPT, and it's not for everyone. This beta feature provides full Model Context Protocol (MCP) client support, granting complete access to both read and write operations ...
Massive VS Code Secrets Leak Puts Focus on Extensions, AI: Wiz
Researchers with cybersecurity firm Wiz earlier this year discovered, almost by chance, a significant supply chain risk and massive secrets leak in the Visual Studio Code and OpenVSX marketplaces that they said ...
Survey Surfaces Widespread Adoption of AI to Improve DevSecOps
A global survey of 1,015 IT professionals with responsibility for application security finds more than three quarters (77%) are using artificial intelligence (AI), with another 13% considering adoption. Conducted by Fastly, a ...
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 ...
Atlassian Makes AI Coding Agent Generally Available
Mike Vizard | | AI code review, AI coding agent, AI DevOps tools, AI for software development, AI in CI/CD, AI project planning, AI software orchestration, Anthropic MCP, Atlassian AI, Atlassian Compass, Atlassian Team 25, devops automation, DX engineering metrics, Jira integration, Model Context ProtocolAtlassian launches Rovo Dev, an AI coding agent for writing, reviewing, and planning code, bundled with Bitbucket, Compass, and DX in the new Software Collection ...
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 ...
Gemini CLI Extensions Bring Customization to the Command Line
Tom Smith | | AI command-line tool, AI for developers, AI-powered CLI, CI/CD Automation, command-line AI integrations, developer productivity tools, devops, devops automation, Google AI developer tools, MCP, Model Context Protocol, software development toolsGoogle’s Gemini CLI extensions framework enables developers to integrate external tools like Figma, Stripe, Postman, and Dynatrace directly within the terminal. Built on the Model Context Protocol (MCP), the system reduces context ...
