AI
Cursor Acquires Graphite to Streamline AI-Powered Development
Jon Swartz | | acquisition, AI and cybersecurity, AI coding, Anthropic, Cursor, Figma, GitHub Copilot, Graphite, Koala, OpenAI, Perplexity AI, Snowflake, spotify, SupermavenCursor, the artificial intelligence (AI) coding assistant valued at $29 billion, has acquired code review startup Graphite to address what Cursor CEO Michael Truell describes as a growing bottleneck in software development ...
Surprise! Everybody Uses AI Tools for Software Development, Few Do So Securely
Teri Robinson | | AI security, AI-generated code, appsec, code security automation, Dependency Management, devsecops, SBoM, secure coding, software supply chain riskAI is generating code faster than teams can secure it, widening software supply chain risk and exposing major gaps in AppSec and governance ...
Harnessing ChatOps to Solve Enterprise-Wide Communication Challenges
Devin Partida | | chat based automation, chatbot DevOps, ChatOps, ChatOps automation, conversation driven collaboration, devops best practices, DevOps communication, DevOps workflows, DevSecOps collaboration, enterprise ChatOps, incident response ChatOps, Microsoft Teams ChatOps, Slack ChatOpsChatOps helps DevOps teams streamline communication by executing workflows directly in chat. Learn the benefits, use cases, and best practices for enterprise ChatOps adoption ...
Feeding the Beast: Why Giving Your Code to AI Agents Might Be Your Biggest Mistake Yet
Alexander Williams | | AI agent security risks, AI assisted development pitfalls, AI code automation risks, AI coding agents, AI data leakage, AI model drift, codebase governance, DevSecOps AI risk, generative AI code review, human in the loop coding, secure software development, software engineering AI, technical debt from AIYour codebase isn’t food, but AI agents are more than happy to devour it. Teams keep handing over entire repositories because automation feels like a cheat code for productivity. The problem shows up later, ...
Real-Time Anomaly Detection: Integrating Log Service With Agentic AI Pipelines
Neel Shah | | agentic AI DevOps, AI observability, AI-driven incident response, autonomous DevOps pipelines, cloud observability logs, DevOps anomaly detection, Isolation Forest anomaly detection, Kubernetes anomaly detection, LangChain agents, MLOps monitoring, MTTR reduction, OpenTelemetry monitoring, real-time anomaly detection, self-healing systemsLearn how agentic AI and real-time anomaly detection create self-healing DevOps pipelines. This guide covers architectures, code examples, and metrics to cut MTTR by up to 90% ...
Analysis Surfaces Rising Wave of Software Defects Traced to AI Coding Tools
An analysis of 470 real-world open source pull requests published today finds code generated using artificial intelligence (AI) tools introduces significantly more defects across every major category of software quality, including logic, ...
Why Your AI Agent Strategy is Failing (and How to Fix It): The Microservices Playbook for AI Agents
Lokhesh Ujhoodha | | agentic AI, AI agent transparency, AI agent trust, AI agents, AI architecture, AI Governance, AI infrastructure, AI microservices, AI observability, AI ROI, autonomous agents, CIO AI strategy, Enterprise AI, enterprise AI strategy, LLM adoption, microservices architecture, monolithic AI agentsDespite billions in AI investment and countless vendor promises, most enterprises are still treating AI agents like glorified copilots rather than autonomous systems. After working with numerous enterprise customers implementing AI agents across various ...
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
Alan Shimel | | 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 ...
