Tag: AI in software development
Developer Productivity in the Vibe Coding Era: Is AI Really Moving the Needle?
Hadi Chami | | AI coding tools, AI in software development, code quality, developer productivity, vibe codingLet me be clear. I do not like the term “vibe coding.” The label is sloppy and the concept it pushes is even sloppier. It lumps together two very different practices and ...
How to Escape the Talent Valley
Dustin Lehr | | ai, AI Governance, AI in software development, application security, developer careers, devsecopsAcross the tech industry a disconcerting trend is emerging, job losses at the hand of a seemingly more efficient and cost-effective employee, artificial intelligence (AI). Software developers in particular have felt the ...
Survey Sees AI Coding Creating Need for More Software Engineers
Mike Vizard | | agentic AI, AI compliance challenges, AI in DevOps, AI in software development, AI tools adoption, AI-generated code vulnerabilities, developer upskilling, DevOps productivity, DevSecOps challenges, GitLab DevSecOps survey, platform engineering, SDLC automation, software engineer demand, technical debt from AI, vibecoding risksA GitLab survey of 3,266 DevSecOps professionals shows AI is boosting code creation but increasing the need for skilled engineers, compliance challenges and human oversight ...
How AI Code Assistants Can Save 1,000 Years of Developer Time
Dr. Michael Kwok | | AI code generation, AI coding assistants, AI development tools, AI for developers, AI in software development, AI pair programming, AI-assisted programming, automation in coding, code quality, coding automation, developer efficiency, developer productivity, generative AI tools, innovation in DevOps, software modernization, time savingsAI code assistants like GitHub Copilot and IBM watsonx Code Assistant are transforming software development—automating routine tasks, improving code quality, and saving developers up to 200 hours a year. The result: faster ...
The AI-Powered Evolution of Software Development
Vishwanath Krishnamurthy | | agentic AI, AI for developers, AI in DevOps, AI in software development, AI productivity tools, AI testing tools, AI-driven coding, AI-native applications, AI-powered development, AI. analytics, autonomous software operations, code optimization, devex, Future of Software Engineering, GitHub Copilot, intelligent automation, machine learning, OpenAI Codex, predictive maintenance, software qualityArtificial intelligence is revolutionizing software development—accelerating coding, improving quality, and enabling autonomous operations. From GitHub Copilot to AI-driven DevOps, businesses leveraging AI tools are building smarter, faster, and more adaptive applications ...
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 ...
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 ...
How Can the Usage of AI Help Boost DevOps Pipelines
Joydip Kanjilal | | AI for testing automation, AI in CI/CD, AI in DevOps, AI in software development, AI-based DevOps tools, AI-driven CI/CD pipelines, AI-driven software delivery, AI-powered CI/CD, automated security testing, continuous deployment, continuous integration, devops automation, devsecops, Future of DevOps, intelligent automation, intelligent DevOps pipelines, machine learning in DevOps, predictive DevOps, Self-Healing Pipelines, smart deploymentsAI is revolutionizing DevOps by making CI/CD pipelines smarter, self-learning, and more efficient — enabling faster, secure, and automated software delivery ...
Report: Microsoft, AWS and Google Atop Software Development Platform Heap
Mike Vizard | | AI in software development, application development, business value, competition in developer platforms, developer ecosystem, DevOps workflows, go-to-market execution, microsoft, platform innovation, Salesforce, Signal report, software development platforms, strategic vision, The Futurum GroupThe Futurum Group’s latest Signal report on Software Development Platforms names Microsoft, AWS, and Google as the top three providers, each achieving Elite status with scores above 90. Microsoft led across all ...
Coding at the Speed of AI: Innovation, Vulnerability, and the GenAI Paradox
John Trest | | AI code review, AI Governance, AI hallucinations, AI in DevOps, AI in software development, AI security best practices, AI-generated code vulnerabilities, ChatGPT, cross-site scripting, developer training, devsecops, EU AI Act, GenAI security risks, generative AI, GitHub Copilot, hardcoded credentials, insecure deserialization, Log4Shell AI reproduction, Replit Ghostwriter, secure coding, U.S. Executive Order 14110Generative AI accelerates software delivery but also reintroduces vulnerabilities, making secure coding practices, oversight, and developer training essential for safe adoption ...
We’re Not Being Replaced. We’re Inventing What Comes Next, Including Ourselves.
Mitch Ashley | | AI in software development, ai-native, software engineering, systems thinking, vibe codingAfter graduating with degrees in computer science and business in hand, I entered the software industry with the energy and optimism of someone ready to create great software. My first job wasn’t ...
10 Key Features of AI Code Assistants
Gilad David Maayan | | ai, AI in software development, coding assistants, generative AI, innovation, toilHere are 10 key features to look for when choosing an AI coding assistant to help automate the tedious aspects of software development ...
