Senior Full-Stack Engineer Location: Boulder, CO (hybrid // 3 days/week in-office) Compensation: Salary $155K-$175K + Cash Bonus Type: Full-time About WellcomeMat WellcomeMat is a profitable video marketing platform and recognized leader in real estate video. Trusted by hundreds of thousands of agents, leading brokerages, major search sites, production companies and multiple listing services, we help real-estate professionals create, manage, and distribute quality video content that reaches millions of consumers every month. Now entering our next growth phase, we’re investing heavily in AI-powered automation and modernization — building smarter tools, cleaner systems, and more efficient workflows that empower our users and…
Author: drweb
Cryptocurrency trading never rests. Markets are open all night and day, and price volatility can occur at any time. To majority of traders, it is not practical to monitor charts full-time. That is where trading bots come in. It is possible to create a bot with Python, which trades according to your strategy automatically, even when you are asleep. Why Python for Crypto Bots? Python is the go-to language for crypto trading bots, and for good reason. It is very easy to learn, it has plenty of libraries to analyse data, and it integrates easily with Exchange APIs. Popular applications…
AI agents are moving from demos to daily workflows. They write code, run commands, and complete multi-step tasks without constant hand-holding. But general-purpose agents don’t know Docker. They don’t understand your containers, your images, or your specific setup. Gordon does. Just run docker ai in your terminal or try it in Docker Desktop. Available today in Docker Desktop 4.61, still in beta, Gordon is an AI agent purpose-built for Docker. It has shell access, Docker CLI access, your filesystem, and deep knowledge of Docker best practices. Point it at a problem, approve its actions, and watch it work. [docker ai…
Claude Code Security scans code like a human researcher, not a rule engine. Anthropic found 500+ decade-old bugs — and cybersecurity stocks felt it.
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…