Tag: AI coding tools
Eclipse Foundation Extends Scope and Reach of Open VSX Registry
Mike Vizard | | AI coding tools, application development, AWS, developer tools, digital sovereignty, encryption, exposed credentials, extension name spoofing, funding model, malicious pattern detection, multi-region architecture, namespace impersonation, rate limiting, security infrastructure, software security, Software Supply Chain, trusted environments.The Eclipse Foundation launches a new framework for the Open VSX Registry, enhancing security features and transitioning to a hybrid architecture. With support from AI tool provider Cursor, this initiative aims to ...
Security Flaws in Anthropic’s Claude Code Risk Stolen Data, System Takeover
Jeff Burt | | AI API Security, AI coding risks, AI coding tools, AI developer tools, Anthropic Claude Code, Check Point, MCP protocol, Palo Alto Unit 42Three critical vulnerabilities found in Anthropic’s Claude Code agentic AI developer tool could be exploited simply by cloning and opening an untrusted project and lead to system takeover, stolen API keys, and ...
Survey: Java Developers Wrestling With Massive Amounts of Technical Debt
Mike Vizard | | AI coding tools, AI functionality, artificial intelligence, cloud computing costs, Common Vulnerability and Exposure (CVE), cost-driven migration, dead code, developer productivity, Java applications, Java developers, Java versions, Java Virtual Machine (JVM), language model integration., large data access, long-term support, migration to OpenJDK, observability, OpenJDK, Oracle pricing concerns, security features, technical debt, vulnerabilitiesA global survey of 2,039 Java developers published today finds 63% reporting that dead and unused code adversely affects their team’s productivity, with 22% describing the impact of that technical debt as ...
Apiiro Guardian Agent Prevents AI Models From Generating Insecure Code
Mike Vizard | | AI code security, AI coding tools, application security, devsecops, prompt rewriting, secure SDLC, vulnerability preventionApiiro launches Guardian Agent, an AI security agent that rewrites prompts in real time to prevent insecure code from ever being generated, reducing vulnerabilities without slowing developers ...
Survey Sees Wider Adoption of AI Coding Tools Creating More DevOps Challenges
Mike Vizard | | AI coding tools, AI productivity, application security, ChatGPT, Code Generation, code review, coding automation, developer survey, devops challenges, GitHub Copilot, sensitive data exposure.Survey reveals 72% of developers use AI coding tools daily, generating 42% of code with AI. Trust issues persist, with 96% doubting AI code correctness ...
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 ...
Endor Labs Adds AI SAST Tool to Discover Vulnerabilities in Code
Mike Vizard | | agentic AI, AI code analysis, AI coding tools, application security, broken access control, code scanning, code security, developer security tools, devsecops, false positives reduction, LLM code vulnerabilities, multimodal static analysis, OWASP Top 10, secure design, Software Supply Chain Security, Static Application Security TestingEndor Labs launches an agentic AI-powered SAST tool that drastically reduces false positives, identifies deeper code flaws and helps DevSecOps teams secure AI-generated code across 40+ languages ...
JFrog Adds Ability to Track Usage of AI Coding Tools
Mike Vizard | | AI API management, AI code auditing, AI coding tools, AI compliance tracking, AI Governance, AI in DevOps, AI model inventory, AI risk mitigation, AI-generated code, application security, code risk detection, devsecops, Large Language Models, LLM security, MLOps, SCA, secure coding practices, Shadow AI detection, software composition analysis, software provenance, Software Supply Chain Security, software vulnerabilities, source code scanningJFrog introduces AI-Generated Code Detection and Shadow AI Detection tools to identify AI-created code, track model usage, and enhance DevSecOps governance across software supply chains ...
MIT Researchers Propose a New Way to Build Software That Actually Makes Sense
Tom Smith | | AI coding tools, AI-assisted development, clean code architecture, code maintainability, code visibility, concept catalogs, devops automation, DevOps reliability, Large Language Models, LLM software development, modular software design, software engineering innovation, software transparency, system synchronizationMIT researchers propose a new framework to make software clearer and safer by organizing code into “concepts” and “synchronizations” for better visibility ...
Visual Studio Copilot Gets Planning Mode for Complex Tasks
Tom Smith | | agentic development, AI coding tools, AI for developers, AI-assisted coding, Claude Sonnet 4, Copilot AI, Copilot Planning, Copilot planning benchmark, Copilot planning feature, Copilot preview, DevOps AI tools, GPT-5 Copilot, Intent-Driven Development, Microsoft Copilot, Microsoft developer tools, planning-driven development, software development automation, SWE-bench results, Visual Studio 2022, Visual Studio CopilotMicrosoft launches the Planning feature for Visual Studio Copilot, now in public preview for Visual Studio 2022 17.14. Planning gives developers a structured way to manage multistep coding tasks, improving transparency, performance, ...
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 ...
CodeRabbit Adds CLI Support to Code Review Platform Based on AI
Mike Vizard | | AI code review, AI coding tools, AI in DevOps, AI trust layer, CLI support, code dependencies, code graph analysis, custom pre-merge checks, developer productivity, DevOps workflows, Git repositories, MCP client, Model Context Protocol, open source code review, secure code review, software quality, unit test generationCodeRabbit expands its AI-powered code review platform with CLI support, auto unit test generation, custom pre-merge checks, and an MCP client. Backed by $60M in new funding, CodeRabbit helps developers catch routine ...
