6 ways Open Data Infrastructure accelerates your workflows
Six ways Open Data Infrastructure removes friction from your workflows.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
The Evolution from Test Automation to Autonomous Testing
Testing looks nothing like it did five years ago. What once demanded armies of engineers writing brittle scripts now runs on intelligent systems that create, adapt, and analyze tests on their own. AI has rewritten the rules, and the teams that recognize this shift early are pulling ahead of those still patching broken automation night after night. For QA leaders and DevOps directors under pressure to ship faster without sacrificing quality, understanding this evolution is more than academic.
Your AI investment has a governance gap, and it's called testing
Article Summary: Most teams have adopted AI coding tools, but testing is still manual, so the speed gain rarely survives to release. This post covers why that gap forms, how your team can maintain application integrity, and how QMetry’s AI features, from fast test creation to a Release Readiness Advisor, connect coverage, risk, and release decisions in one system instead of a second disconnected tool.
[Tutorial] AgentSpot Training Episode 9: How to Get Started on AgentSpot Free
In this video, learn how to set up AgentSpot's self serve free tier from scratch. You'll connect the apps you already work with (Google Workspace, Slack, and more) and authenticate them in a couple of clicks. Plus, you'll build your first agent, one that catches you up on Slack threads so you don't have to. Tip: the more tools you connect, the more context your agent has, and the better it works for you.
Kong AI Gateway 2.0 Is Now GA - And It's Already Moving Faster
We said you'd see the evidence quickly.. Here it is. **Kong AI Gateway 2.0 is now generally available**, and it isn't arriving quietly.
11 Tools to Monitor API Performance and Availability in Real Time (2026)
Choosing API monitoring tools can be overwhelming, with feature lists and buzzwords competing for attention. When you’re responsible for business-critical APIs, the best tool is the one that delivers real-time, actionable data and fits your system’s actual needs.
BigQuery Graph is now GA: the knowledge foundation for the agentic era
Discover how BigQuery Graph enables native graph analytics and AI agent grounding, delivering connected context across enterprise data without moving data.
How we stop malicious code? Python Sandboxing Explained
A technical overview of how Centerprise Agent Builder runs user-submitted and LLM-generated Python outside the main server process - covering Python.NET, worker isolation, callback tokens, and Docker-level containment.
New MCP tools for Declarative Pipelines
Qlik's MCP server just got three new lookup tools built for data engineering. They connect directly to your Qlik Cloud tenant, so coding agents can pull the real project values a pipeline needs instead of working from an empty template, find spaces and data connections by name, and browse the tables and views available on a connection, just by asking in natural language. That means easier declarative pipeline creation, with real tenant context built right into your prompt for faster, more accurate iteration.
Agentic AI Just Rewrote the Data Engineer's Job Description. Here's What IT Leaders Need to Know.
Gartner predicts that 70% of today's data engineering tasks will be fully automated by 2030. I put that number to Tim Garrod, Qlik's Head of Product Management for data integration and quality, on a recent Qlik Insider session, and his answer is the one every CIO, CDO, and VP of IT should sit with: automation doesn't make the data engineer obsolete, it makes the good ones ten times more valuable. AI amplifies skilled judgment. It doesn't replace it.