Five Technology Shifts In: Why the Hype Curve Lies in Both Directions
I’ve lived through five major technology shifts: mainframe to Windows in the early ‘90s, internet computing in the late ‘90s and early 2000s, Agile in the mid-2000s, cloud through the 2010s, and now AI. You learn things by surviving that many. You learn that vendors oversell. That leadership wants results yesterday. That the breathless predictions […]
Why Agent Skills Are the Next Evolution of Software Development
The emergence of agent skills — modular, reusable blocks of natural language instructions and metadata — is transforming the developer’s role.
GitLab Act 2: Still an Open Book
An analysis of GitLab’s “Act 2” transition under CEO Bill Staples, examining whether the company can successfully pivot to an AI-native, agentic software delivery model while dismantling the radically transparent, remote-first culture that originally defined its brand and operational success.
Survey Sees AI Driving DevOps Productivity Gains Despite Challenges
A global survey of 636 software development professionals published today finds nearly two-thirds (64%) believe they are achieving at least a 25% increase in developer velocity and productivity using artificial intelligence (AI). Conducted by Jellyfish, a provider of a software engineering intelligence platform, just under a quarter (24%) report there has been a 50% to […]
Reimagining AI-Assisted Coding for Team Scale in Enterprises
AI coding tools have advanced rapidly, but most are still designed around the individual developer. Their effectiveness depends heavily on a user’s ability to write understandable prompts, preserve architectural coherence across sessions, and identify areas that require additional work. This model works for some engineers, but it is far less dependable for a large organization’s […]
5 Facts About AI Coding Agents from Comprehensive Benchmarking
AI coding agents are becoming more capable, but evaluating them is harder than it looks. Most benchmarks focus on a single dimension of agent capabilities; for instance, the popular SWE-Bench benchmark only focuses on fixing issues on open source Python repositories. Real-world software engineering involves fixing bugs of course, but it is a lot more […]
AI Won’t Replace Developers—But it is Changing How They Work
AI is reshaping software development by accelerating coding, testing and reviews while reinforcing the need for human judgment and oversight.
Tekton Kubernetes-Native CI/CD Project Reaches CNCF Incubation
The CNCF TOC has voted to accept Tekton as an incubating project. As a Kubernetes-native framework for CI/CD, Tekton enables developers to build, test, and deploy across clouds by treating pipelines as standard K8s resources. Originally part of Knative, it now offers a modular ecosystem including Triggers and Chains for supply chain security, integrating deeply with Argo CD and Sigstore.
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 that the AI technology also risks eroding the profession’s training pipeline. In their paper, Redefining the Software Engineering Profession for AI, published in […]
Google ADK Opens the Door to AI Agents That Work Inside Your DevOps Toolchain
Google 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
Explore 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 production is seamless and efficient. Learn how effective planning and clarity are essential for modern application development.
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.
When Open Networks Meet AI Coding: A Tsunami of Smart Enterprise Apps
The 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, network-aware applications rapidly, empowering them to leverage connectivity in innovative ways. As telcos position their networks as programmable platforms, and AI simplifies software development, organizations can expect a significant acceleration in application creation, leading to new business models and enhanced digital transformation.
Rein Security Emerges to Analyze Reachability of Application Vulnerabilities
Rein 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 a production environment. Fresh off raising $8 million in seed funding. Rein Security CEO Matan Bar Efrat said DevSecOps teams can now gain […]
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.
Google Adds Hooks to Gemini CLI for Customized AI Workflows
Enhance 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 how AI-driven development increases risk and why stronger QA practices are essential for reliable software delivery. Nowlan argues that AI-driven development increases risk […]
(Almost) Seven Signs That Your JavaScript Project is Legacy
Learn 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
Join us at Predict 2026 to explore how AI is transforming the DevOps landscape, enhancing software delivery, and redefining operational strategies.
Meta Introduces Confucius Code Agent: A New Approach to AI-Powered Software Engineering
Explore the Confucius Code Agent by Meta and Harvard, designed to enhance productivity in software engineering with a focus on agent architecture and operational performance.
Vibe Your Way Into Payments With More Approachable Payment Integration
Explore how vibe coding is changing the landscape of software development, simplifying payments integration and enabling faster prototyping using natural language.
Eficode Unifies Operations to Join AI Software Development Landgrab
The march to build comprehensive software application development platforms aligned and optimized for the AI-first era is running at a breakneck pace. Latest to join the current land grab and pledge allegiance to the delivery of high-value AI-driven outcomes is Helsinki, Finland-based Eficode. Pronounced (exactly as it sounds) Eficode in American English, but presumably given […]