Latest Articles
When AI Goes Really, Really Wrong: How PocketOS Lost All Its Data
Steven J. Vaughan-Nichols | | AI agent, AI coding agent, AI safety, Anthropic, Anthropic Claude, autonomous agents, backups, Claude, Cloud Security, Cursor, data loss, PocketOS, RailwayYou can't make this crap up. You just wish you could. Jer Crane, founder of the small vertical software company, PocketOS, reported on X that the AI Cursor coding agent and a ...
5 Facts About AI Coding Agents from Comprehensive Benchmarking
Graham Neubig | | AI coding agents, benchmarking, developer tools, Large Language Models, software developmentAI coding agents are becoming more capable, but evaluating them is harder than it looks. Most benchmarks focus on a single dimension of agent capabilities; for instance, the popular SWE-Bench benchmark only ...
GitHub Faces Scaling Issues as AI Development Surges
It appears that GitHub has its hands full adjusting to the demands of scaling AI workloads. First, the company paused sign-ups for its Copilot subscription tiers in response to a wave of ...
OpenAI Debuts Symphony to Orchestrate Coding Agents at Scale
OpenAI has unveiled Symphony, an open-source specification that shifts how software development teams deploy AI in workflows, moving from interactive coding assistance toward continuous orchestration of autonomous agents. Symphony reframes project management ...
The Next AI Breakthrough Isn’t Generative, It’s Agentic
Lee McClendon | | agentic AI, Agentic Testing, AI Governance, AI Orchestration, AI Productivity ROI, AI quality assurance, Autonomous Systems, business intelligence, Enterprise AI Deployment, human-in-the-loop, risk mitigation, software development lifecycle SDLC, Trustworthy Speed., Vibe Coding RiskGenerative AI first captured the world’s attention by producing content at an unprecedented speed. From lines of code and documentation to frameworks and designs, content creation is now readily available at the ...
The Code Doesn’t Care Who Wrote It: Why Context, Not AI Fear, Will Define Modern Application Security
AI has already arrived in the software development lifecycle, not as a pilot program or controlled experiment, but as an everyday reality ...
GitHub Resets Copilot Pricing as AI Compute Costs Surge
The development community saw this one coming: GitHub will transition its Copilot service to a usage-based billing model on June 1, replacing its existing system of fixed subscriptions supplemented by premium request ...
Ten Great DevOps Job Opportunities
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these ...
Microsoft Foundry Tackles the AI Agent Tool Problem Nobody Talks About
Tom Smith | | agent governance, AI agents, API Orchestration, Azure AI Search, Developer Friction, Enterprise AI Infrastructure., Foundry Toolboxes, Microsoft Entra, Microsoft Foundry, Model Context Protocol MCP, Public Preview, Tool WiringTool sprawl is quietly becoming one of the biggest headaches in enterprise AI development. Microsoft thinks it has a fix ...
Microsoft Turns to Anthropic’s Mythos to Improve Cyber Defense
Microsoft has unveiled plans to incorporate Anthropic’s Claude Mythos Preview model and other AI models into its Security Development Lifecycle, embedding AI directly into the stages where code is written and tested ...
Claude’s Code Quality Conundrum Continues
Adrian Bridgwater | | Agent SDK, ai, automation, Claude Code, Claude Mythos, cloud, cloud-native, culture, developers, Model Degradation, open source, Test-Time-Compute, zero-day vulnerabilitiesAnthropic admits to a month-long degradation in Claude's output due to reasoning "effort" tradeoffs, cache bugs, and verbosity prompts. As Opus 4.7 rolls out with mixed developer reviews, the company is doubling ...
How to Manage Operations in DevOps Using Modern Technology
Samuel Ogbonna | | AIOps, infrastructure as code, observability, platform engineering, site reliability engineeringHow modern DevOps teams manage operations using automation, observability, AIOps and self-service to reduce toil and improve reliability ...
