Agentic coding is everywhere
AI coding agents are increasingly used to build and maintain the Astro web framework, with its repository containing an AGENTS.md file and commits co-authored by Claude and GitHub Copilot, signaling a…
AI coding agents are increasingly used to build and maintain the Astro web framework, with its repository containing an AGENTS.md file and commits co-authored by Claude and GitHub Copilot, signaling a…
Companies that overbought cloud reserved instances for AI workloads can no longer easily resell them, as AWS shut down its Reserved Instances Marketplace in January 2024, leaving organizations stuck w…
Microsoft released Visual Studio Code 1.129 on July 15, introducing a dedicated agent host that runs agent harnesses like Claude, Copilot, and Codex via the Agent Host Protocol, enabling sessions to p…
Alibaba's Qwen3.8 Max and Moonshot's Kimi K3, with 2.4 trillion and 2.8 trillion parameters respectively, are prompting enterprise executives to reconsider Chinese AI models for specific applications …
A new documentary, 'The Java Story: The Official Documentary,' has been released on YouTube, tracing the 30-year evolution of the Java programming language from its origins at Sun Microsystems to its …
A new documentary, 'The Java Story: The Official Documentary,' chronicles the 30-year history of the Java programming language, from its origins at Sun Microsystems through its resurgence under Oracle…
AWS has updated AWS Data Exports to include standardized Amazon Bedrock product metadata, enabling enterprise engineering teams to analyze AI usage and spending without custom parsing. The update norm…
Tungsten Automation's internal evaluation of AI meeting transcription tools found that building a custom workflow using its own secure enterprise AI environment was faster, cheaper, and more secure th…
A new report from Komodor finds that 79% of production incidents originate from recent system changes, while 21% stem from external factors such as network failures and cloud provider issues. Accordin…
OpenAI reduced the default input context window for GPT-5.6 in its Codex CLI from 372,000 to 272,000 tokens, sparking developer criticism over potential impacts on large code repositories and long-run…
Anthropic, Google, and OpenAI are donating key AI protocols to open-source foundations, not out of generosity but to commoditize one layer of the AI stack and compete on higher-value services, followi…
Anthropic donated its Model Context Protocol (MCP) to the Linux Foundation's new Agentic AI Foundation, while Google handed its Agent2Agent (A2A) protocol to the Linux Foundation with AWS, Cisco, Micr…
Microsoft is prioritizing AI and agent features in Visual Studio Code, with nearly every new feature in recent releases focused on AI, according to a developer complaint. The author argues that VS Cod…
OpenAI confirmed that its GPT-5.6 large language models can accidentally delete files, calling such incidents 'honest mistakes.' Engineering lead Thibault Sottiaux said the deletions occur when full a…
Meta is reportedly planning a cloud business to sell access to AI computing power and models, extending its internal infrastructure into a commercial service for outside developers and enterprises, ac…
Kubernetes and Amazon EKS are ill-suited for AI agent workloads because the container orchestration model was designed for stateless HTTP requests, not long-running, stateful agent processes, accordin…
Enterprise AI systems are moving from recommendations to autonomous actions, creating an accountability gap as organizations struggle to explain, audit, and defend AI-driven decisions. CIOs face growi…
OpenAI's Codex Multi-Agent V2 update encrypts inter-agent instructions, removing visibility into how tasks are delegated between parent and sub-agents, according to a GitHub merged request. Developers…
Agentic coding has shifted the bottleneck from writing code to maintaining it, and AI agents are now being applied to production problem-solving, which accounts for 60% to 70% of developers' work. Spi…
An independent research project found that an AI-written test pipeline producing 80% of test code still requires 30% of the engineering effort for human review, not the 2% often budgeted. The six-stag…