Systems | Development | Analytics | API | Testing

smartbear

Your AI investment has a governance gap, and it's called testing

Sep 1, 2026 By Klaudia Makiej In SmartBear
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.
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[Tutorial] AgentSpot Training Episode 9: How to Get Started on AgentSpot Free

Sep 1, 2026 By ThoughtSpot In ThoughtSpot
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.
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loadfocus

11 Tools to Monitor API Performance and Availability in Real Time (2026)

Sep 1, 2026 By Chris In LoadFocus
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.
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New MCP tools for Declarative Pipelines

Aug 31, 2026 By Qlik In Qlik
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.
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qlik

Agentic AI Just Rewrote the Data Engineer's Job Description. Here's What IT Leaders Need to Know.

Aug 31, 2026 By Dan Potter In Qlik
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.
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smartbear

Turn every spec change to a green test: A step-by-step guide to AI-assisted API test sync

Aug 31, 2026 By Vyshnavi Dabbir In SmartBear
Imagine this scenario: your engineering team just pushed a spec update. A field was removed, an endpoint renamed, a new required parameter appeared on the payments API. Nobody told QA. Three days later, your regression suite lights up red across a dozen tests that have nothing to do with the actual bug. They’re failing simply because the tests are stale. Someone spends the next afternoon manually diffing the old spec against the new one, hunting for what changed, then rewriting test steps by hand.
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