Claude Code Security scans code like a human researcher, not a rule engine. Anthropic found 500+ decade-old bugs — and cybersecurity stocks felt it.
Author: drweb
It was close to midnight and the system was not behaving the way it should. CPU was hovering around 85 percent, PAGEIOLATCH waits were climbing steadily, and one particular stored procedure had suddenly become the villain of the evening. I had the actual execution plan open. A Hash Match that clearly did not belong there. A Key Lookup that was blowing up row counts. An estimated versus actual row mismatch that was almost embarrassing to look at. Let us talk about The Strange Emotional Shift of Working Alongside a Machine That “Thinks”.The Night a Query Finished Before I DidI have…
You could be tolerating limited reporting because there isn’t an off the shelf solution that meets your needs and you’re scared about the costs of a fully bespoke reporting solution, or it could be that you never thought a bespoke solution was an option.There might be some form reporting that comes with your ERP system, the kind of thing that gives you something but doesn’t give you the freedom or the insights you’re looking for. And if you’ve got data in multiple systems you’re looking to integrate then there aren’t too many options without building something yourself or going out…
As systems become more distributed and AI-driven, traditional uptime metrics are no longer enough. The 2026 SRE Report shows how reliability is shifting toward user experience, speed, and business impact, and how AI is reshaping monitoring, incident response, and the role of SRE and DevOps leaders.
A real-world DevOps and cloud transformation story showing how automation, observability, and cultural change improved reliability and delivery.
A new global survey from Leapwork underscores a growing tension in software development: while AI is widely viewed as essential to the future of testing, many teams remain hesitant to rely on it for mission-critical workflows. Based on responses from more than 300 engineers and IT decision-makers, the research indicates that enthusiasm for AI-enabled testing is high. […]
Based on Docker’s State of Agentic AI report, a global survey of more than 800 developers, platform engineers, and technology decision-makers, this blog summarizes key findings of what’s really happening as agentic AI scales within organizations. Drawing on insights from decision-makers and purchase influencers worldwide, we’ll give you a preview on not only where teams are seeing early wins but also what’s still missing to move from experimentation to enterprise-grade adoption. Rapid adoption, early maturity 60% of organizations already have AI agents in production, and 94% view building agents as a strategic priority, but most deployments remain internal and focused…
A while back I wrote a quick post on setting up key mappings in Visual Studio Code…they make presenting (and generally working) in Visual Studio Code really smooth.But one thing that kinda bugs me is the location of the terminal…I’ve always had it at the bottom, which is generally fine, and I know you can move it around (top, right, left)…however I’ve found that when presenting, space is at a premium. I bump up the font size and this can result in a lot of scrolling through results in the terminal, which ain’t great.But what if we could have a…
AWS Agent Plugins give coding agents the skills to architect, estimate costs, and deploy to AWS. Type “deploy to AWS” and the agent handles the rest.
In traditional software, requirements are static design-time artifacts. In AI-enabled systems, they must be continuously observed and enforced in production. Learn how AI collapses the boundary between design-time and runtime, shifting requirements toward behavioral constraints, continuous verification, and shared ownership across engineering and operations