AI
VS Code Pushes Hard on AI Agents While Quietly Killing Free Code Completion
Tom Smith | | Agent HQ, Agent Sessions, agentic coding, AI agents, AI code completion, AI security, developer tools, devops, GitHub Copilot, IDE updates, IntelliCode deprecation, microsoft, prompt injection, software development, TypeScript 7, TypeScript Go compiler, Visual Studio Code, VS Code updateMicrosoft's VS Code update brings Agent HQ, TypeScript 7 preview, and kills free IntelliCode. What developers need to know about the latest changes ...
3 Notable Software Development Trends for 2026 and Beyond
Roman Davydov | | AI in SDLC, AI-enabled development, citizen developers, code generation AI, DevSecOps trends, IT talent strategy, Low-code development platforms, software delivery optimization, software development trends 2026, software engineering trends, software testing automation, talent density maximizationExplore the key software development trends for 2026, including AI-enabled development, low-code platforms, and talent density maximization shaping modern SDLCs ...
Harness Raises $240M: AI for Everything After Code and a New Era for DevOps
Mike Vizard | | AI DevOps outer loop, AI software delivery platform, AI-native pipelines Harness, CI/CD innovation Harness, DevOps platform consolidation, enterprise software delivery AI, Goldman Sachs Harness investment, Harness AI announcement, platform engineering AI era, Software Delivery Knowledge GraphAlan breaks down Harness’s $240M raise, $5.5B valuation, and Jyoti Bansal’s AI-native platform reshaping the software delivery pipeline ...
Black Duck Adds AI Tool to Analyze and Fix Code in Real Time
Black Duck today added a tool for analyzing and remediating code that is directly integrated into artificial intelligence (AI) coding tools. Company CEO Jason Schmitt said Black Duck Signal makes it possible ...
Multi-Agent System Promises Faster Bug Detection and Resolution
IT outages cost companies over $14,000 per minute. IBM Research's Project ALICE uses multiple AI agents to help engineers find bugs faster and restore systems. Software bugs are expensive. When a critical ...
AI and ML in DevOps: Transforming CI/CD Pipelines Into Intelligent, Autonomous Workflows
Arun Goyal | | AI DevOps transformation, AI for cloud infrastructure, AI in DevOps, AI infrastructure management, AI-based security monitoring, AI-driven CI/CD pipelines, AI-driven DevSecOps, AI-powered CI/CD, AIOps, automated incident response, Autonomous DevOps, Autonomous software delivery, DevOps automation using AI, How AI transforms DevOps, Intelligent DevOps automation, Intelligent test automation, Machine learning DevOps, ML in DevOps pipelines, ML-based anomaly detection, Next-generation DevOps trends, Predictive analytics in DevOps, Predictive maintenance DevOps, Self-healing systems DevOps, Smart monitoring with AIOps, Zero-touch infrastructureDiscover how AI and ML are revolutionizing DevOps through intelligent automation, autonomous CI/CD pipelines, AIOps, enhanced security, predictive analytics, and self-healing systems. Learn why AI-powered DevOps is essential for modern enterprises ...
Agentic AI in Observability Platforms: Empowering Autonomous SRE
Neel Shah | | agentic AI Kubernetes, agentic AI observability, AI log metric trace correlation, AI root cause analysis, AI-driven incident response, AIOps agentic AI, autonomous DevOps agents, autonomous remediation, autonomous SRE agents, intelligent incident triage, MTTR reduction with AI, observability automation, OpenTelemetry workflows, proactive resilience AI, self-healing Kubernetes, SRE automation toolsAgentic AI transforms observability by using autonomous agents to analyze telemetry, detect issues, and execute fixes—cutting MTTR and eliminating manual SRE toil ...
Harness Allies with AWS to Integrate AI Agents for Software Engineering
Harness this week extended its alliance with Amazon Web Services (AWS) to integrate their respective artificial intelligence (AI) agents to automate DevOps workflows. Announced at the AWS re:Invent 2025 conference, Harness is ...
Code Quality and Security Risks of AI-Generated Code
Joydip Kanjilal | | AI attack surface, AI code security, AI coding assistants, AI development tools, AI model limitations, AI security challenges, AI training data vulnerabilities, AI-generated code, AI-powered development risks, automated code review, ChatGPT code generation, CI/CD security scanning, code quality risks, code security best practices, dependency risks, developer awareness, GitHub Copilot risks, hallucinated code, human-led code review, inefficient algorithms, insecure AI code, insecure code patterns, poor code maintainability, secure coding practices, software development security, spaghetti code, technical debt from AI toolsAI-powered tools and coding assistants have become popular and widely used among software developers for several reasons. They promise to deliver not only speed and comfort but also a tool for filling ...
AWS Adds Specialized AI Agents to Kiro Coding Tool to Automate DevOps Tasks
Amazon Web Services (AWS) today at its re:Invent 2025 conference extended its Kiro artificial intelligence (AI) tool to provide access to a set of agents that have been trained to trigger specific ...
Stack Overflow Makes Available AI Assistant for Verifying Code
Stack Overflow today made generally available an artificial intelligence (AI) tool that makes it possible to use natural language to search its repositories for code. Company CTO and chief product officer Jody ...
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 ...
