Docker Captain Aug 14, 2026 Reproducible ESP32 Firmware Development with Docker and Docker Sandboxes Build ESP32 firmware with reproducible Docker environments and use Docker Sandboxes for isolated AI-assisted development and hardware testing. Read now
Author: drweb
Today, the Python programming language holds a leading position in developing tools for commercial process optimization. The language’s rich ecosystem of libraries covers any business needs regardless of the project’s scale. The modern concept of workflow automation for small business helps entrepreneurs eliminate routine, reduce operational expenses, and build reliable digital channels for data collection and processing. Building a Custom Workflow Automation for Small Business on Python Developing a custom automation solution always begins with analysing the task and selecting a suitable library stack. Developers prefer Python due to its transparent syntax and high speed of creating working prototypes. Competent…
I was lucky enough to take a vacation a decade ago in Edinburgh with my wife. She came over to the UK with me for a quick trip. We had never been to Scotland together, so we trained up and stayed in Stirling. We walked around the area, visited the Wallace Monument and toured Edinburgh. We hiked up Arthur’s Seat and piled stones on a sunny August afternoon.We hadn’t planned it, but the Edinburgh Fringe Festival was going on at the time. We saw lots of street performers and wandered into a few comedy and music shows in random places.…
Now that we have our offline state in place, we can make form submissions a lot smarter….
Python makes it remarkably easy to turn a large language model into an application. A few functions can connect an LLM to a vector store, internal documents, APIs, databases, or business tools. That speed is one reason Python has become so central to RAG systems and AI agents. It also creates a subtle security problem. Developers often focus on whether a prompt is safe or whether the model produces an acceptable answer. In production, the more important boundary is usually somewhere else: the point where untrusted natural language is allowed to influence trusted code, data, or actions. A useful rule…
TL;DR — Key Takeaways ProjectDiscovery’s Neo 1.0 uses AI-driven autonomous security testing to discover, validate and prioritize exploitable vulnerabilities. Neo is available through a consumption-based cloud model designed to lower the cost of continuous security testing. The platform integrates with GitHub, Jira, Confluence, Slack, Linear, APIs, webhooks and MCP. ProjectDiscovery has made available an autonomous security testing platform that leverages an open source artificial intelligence (AI) testing framework to detect and validate vulnerabilities at a lower total cost.Company CEO Rishi Sharma said version 1.0 of the Neo platform is also available via a cloud service that makes it possible for…
Now that push notifications are working, we should add a simple way to turn them off for…
Kubescape is a CNCF security scanner that checks your Kubernetes manifests, container images, and live cluster. It scores them against NSA-CISA, MITRE ATT&CK, and CIS controls, and can even write fixes back into your YAML. Your deployment applied cleanly, and kubectl get pods shows Running. But that same pod might be running as root, have no memory limit, and hold a service account token it never needed. Kubernetes accepts it because the API server mainly checks whether your YAML is valid. Kubescape goes further, and it reads the same file, showing which security controls failed, and points out the lines…
Now that we can notify a single user, let’s expand that into a broadcast flow so we…
TL;DR — Key Takeaways Arm Dynamic Insights uses runtime data and AI to help developers identify software performance bottlenecks and optimization opportunities. The tool is designed to make processor-level performance analysis accessible to developers without requiring deep Arm architecture expertise. Dynamic Insights can identify CPU, memory and I/O constraints, execution hot spots and inefficient use of AI accelerators. Arm has made available a Dynamic Insights tool that leverages artificial intelligence (AI) models to generate recommendations for optimizing software running on its processors using actual data collected at runtime.Alex Spinelli, senior vice president for AI and developer platforms at Arm, said…