Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
BigQuery MCP Server: Connect Google BigQuery to AI Agents Safely
A BigQuery MCP server lets AI agents like Claude query your Google BigQuery data through a standard protocol instead of ad-hoc integrations. Because BigQuery bills by bytes scanned, an unconstrained agent is not just a security risk but a budget risk: one careless full-table scan on a wide table costs real money. This guide covers what a BigQuery MCP server does, the three ways to set one up, and the cost and security controls that matter before you let an agent anywhere near your analytics data.
Utility API & AI Security: Exposing Data Without Exposing Control
Every utility is being pulled in two directions. Operations, engineering, and customer-facing teams all want data in modern applications: outage maps, field-service apps, asset-health dashboards, regulator reporting, and increasingly AI assistants that can answer questions about generation, load, or maintenance history. At the same time, the security team's job is to make sure none of that convenience becomes a path into systems that open spillway gates, trip breakers, or control pressure.
Get more control over AI Test Case Generation in Xray
Writing Tests from Requirements often starts with the same decision: how many scenarios does this change actually need? The number of Tests needed for a Requirement depends on the behavior it describes. A small change may require only a few Tests, while a feature with several acceptance criteria, user roles, and possible outcomes may need a broader set. AI Test Case Generation in Xray now lets testers account for that difference before generation begins.
AI Automation for Critical Processes
Appian’s unified platform brings together systems, and people, and AI agents to optimize processes and deploy AI with reliability and control. From IT and supply chain to finance and HR, Appian delivers AI automation for every department.
Keep API tests in sync with OpenAPI using Claude Code | SmartBear ReadyAPI
Want your API tests to stay accurate every time your OpenAPI spec changes? See how the SmartBear ReadyAPI MCP Server connects directly to Claude Code, so your API tests stay in sync with your OpenAPI spec without manual rework so you stay apace of change. In this walkthrough, Adrian Minnock, SmartBear Solutions Engineering Team Lead, configures the ReadyAPI MCP Server and connects it to Claude Code from the terminal. The demo also shows how ReadyAPI detects and repairs tests automatically after a spec change, then runs the new suite with ReadyAPI's own execution engine.
Free Satellite Imagery for Machine Learning and Big Data Pipelines
The expansion of public satellite fleets has turned Earth observation into a true Big Data playground. What once required dedicated GIS servers can now be handled by cloud tools that pull fresh imagery continuously without breaking project budgets. This sudden abundance of open rasters completely changes how products get built. Having steady access to free satellite data for download and analysis allows engineering teams to test new ideas, train computer vision models, and scale geographic coverage fast, without paying a cent for raw image feeds.
Reliability Engineering in the AI Era
Engineering leaders have been claiming to “shift quality left” for years but production remains stubbornly stuck out of reach of software engineers. The realm of production remains mysterious with tools no one has access to and UIs that wouldn’t make sense to engineers anyway. I’ve noticed a small but growing trend of large enterprises hiring Reliability Engineers instead of Site Reliability Engineers. Dropping one word looks cosmetic but I think it points to a much bigger change.
Vibe Coding to Production: Building AI Apps That Actually Scale
Now that AI coding tools have put development capabilities into more hands, prototypes are becoming business-critical applications almost overnight. Shanea Leven sees an opportunity for a new generation of builders, provided the infrastructure around their applications keeps pace. Shanea explains how organizations can give developers and new technical employees room to build while maintaining the standards required for enterprise software..
