AI
Former GitHub CEO Bets $60M That Developer Tools Need a Factory Reset for the AI Age
Thomas Dohmke's new company, Entire, aims to redefine the software development lifecycle for AI-driven coding by focusing on post-code generation processes. With a $60 million seed round, Entire's first product, Checkpoints, enhances ...
CodeRabbit Adds DevOps Planning and Review Tool for AI Prompts
CodeRabbit today made available in beta a planning tool that enables DevOps teams to determine which artificial intelligence (AI) prompts to create and review before embedding them within their workflows. David Loker, ...
Will AI Kill the OSS Star?
As AI-driven development accelerates, open source software faces an uncomfortable paradox: Usage is rising while engagement, sustainability and community economics quietly erode. AI isn’t eliminating OSS, but it is reshaping how code ...
Google Launches Developer Knowledge API to Give AI Tools Access to Official Documentation
Google's new Developer Knowledge API and MCP server provide AI assistants with direct access to up-to-date Google developer documentation ...
Qodo Adds Multiple AI Agents to Code Review Platform
Qodo 2.0 adds memory-enabled, task-specific AI agents to its LLM-based code-review platform, improving defect recall and F1 performance to help DevOps scale code quality as AI-generated code rises ...
Beyond Test Case Generation: How to Create Intelligent Quality Ecosystems
Move GenAI in QA from test‑factory to life‑cycle intelligence: AI proposes coverage and data, humans review, deterministic automation executes—focus on risk‑aligned coverage, drift detection, and governance ...
Is Claude Opus 4.6 the Best Security Researcher Ever?
Anthropic’s Claude Opus 4.6 uncovered more than 600 previously unknown vulnerabilities in widely used open source software, raising new questions about AI-driven security research, vulnerability management, and defensive readiness ...
MCP-Powered Agentic AI in DevOps: Building Secure, Scalable Multi-Agent Pipelines for Autonomous SRE and Observability
Discover how model context protocol (MCP) powered agentic AI is transforming DevOps by enhancing resilience and efficiency in cloud-native environments. Learn about the challenges, benefits, and real-world applications of autonomous multi-agent systems ...
4 Security Risks of AI Code Assistants
AI coding assistants can introduce vulnerabilities, privacy risks, and dependency issues. Learn key cybersecurity practices to safely use AI in software development ...
Perforce Adds MCP Support Across Entire DevOps Portfolio
Perforce Software is making the Model Context Protocol (MCP) that artificial intelligence (AI) tools and agents invoke to access data available across its entire portfolio of DevOps platforms. Jake Hookom, executive vice ...
Anthropic Research Shows Trade-Off Between AI Productivity and Developer Mastery
Artificial intelligence tools are now a routine part of today’s software development, promising faster output and reduced workloads. But new research from Anthropic suggests that when developers rely on AI while learning ...
OpenAI Shifts Toward Autonomous Team Model with Codex Desktop Launch
OpenAI has launched a macOS desktop application for Codex, signaling a strategic pivot from simple artificial intelligence (AI) pair-programming to a complex command center for autonomous coding agents. The news, announced Monday, ...

