Systems | Development | Analytics | API | Testing

thoughtspot

Build an AI Analyst Your Team, or Your Customers, Can Trust

Oct 14, 2026 By Abhinav Singh In ThoughtSpot
You can get an AI Analyst from most of the players, or you can try to build one yourself. Fewer let you decide what it knows, what it can touch, and who can use it. And even fewer still let you define what it won't do. You need all three before you hand one to a team or put one inside your product. In most of the product experiences, your AI analyst's context had two homes: one expert's head, or org-wide instructions.
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How to Install Claude Code on Windows with PowerShell (Step by Step) #Shorts #aicoding #claudecode

Oct 14, 2026 By Bugfender In Bugfender
How to install Claude Code on Windows using the official PowerShell installer, step by step. Claude Code is Anthropic’s AI coding assistant for the terminal. This tutorial shows how to find the official instructions, run the PowerShell installer, handle the PATH setup note, launch Claude Code and sign in. WHAT YOU NEED You do not need to run PowerShell as Administrator. INSTALLATION STEPS Search “Claude Code terminal” and open the official result from code.claude.com. Find the Windows PowerShell installation command and copy it.
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Ep 96 | Leaving the Sandbox: AI In the Real World

Oct 14, 2026 By Cloudera, Inc. In Cloudera
The AI worked in the sandbox. Then it met the real world. David Hardoon learned that lesson during an ATM optimization project designed to improve cash-delivery routes. Once deployed, the system collided with traffic and unpredictable schedules, which are the realities that face the people doing the work. Recorded at *EVOLVE26* Singapore, this episode of The AI Forecast brings Paul Muller together with David Hardoon, Head of Advanced AI at Accenture, to explore why the human side of AI transformation can determine whether promising technology ever delivers value in production.
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databox

New: Give Your AI Analyst the Context to Explain Performance and Help You Take Action

Oct 14, 2026 By Monise Branca In Databox
You open your performance dashboard and notice that your sales pipeline has dropped 15% since last week. You can see the decline, but the numbers alone don’t explain what caused it. Maybe several deals were pushed into next quarter, your team lost a major opportunity, or a campaign generated fewer qualified leads than expected. The answers are likely somewhere in your CRM, project management tool, or conversations your team has been having.
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smartbear

TestComplete vs. Tricentis Tosca vs. Ranorex: Which test automation approach fits your team?

Oct 14, 2026 By SmartBear In SmartBear
Test automation gets harder when the application portfolio stops looking like a modern web stack. Desktop clients, packaged systems, internal applications, and long-lived business software all create different requirements for how teams build, run, and maintain tests. In an AI-disrupted SDLC, the rest of the stack changes even faster, and the risk concentrated in those systems grows with it.
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tricentis

How IBM tests AI apps and code with AIDA and AI Workspace

Oct 13, 2026 By Lizzie Stokes In Tricentis
Mike Dillon is a Global Platform Leader at IBM. While deeply technical and experienced in enterprise architecture, he is not a traditional hands-on software developer. Yet this spring, Dillon paired his domain expertise with IBM Bob, IBM’s AI coding assistant, to engineer his first full-scale enterprise application: WatsonAuditX. Designed to automate the documentation required for complex SAP audits, the app addresses a familiar operational roadblock.
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katalon

What Jev Means for Software Testing: Your AI Agent Is Thinking Too Hard

Oct 13, 2026 By Alex Martins In Katalon
Watch an AI agent run a regression test sometime. Really watch it. It lands on a login page. It reads the entire page structure: every element, every attribute, every nested div someone added in 2019 that nobody has dared to remove since. Then it reasons. It weighs its options. It explains to itself, at some length, that the button labeled "Sign in" is probably the one that signs you in. And then, finally, it clicks. Now multiply that by every step, in every test, in every regression run, every night.
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astera

MCP vs. API: What's the Difference and When to Use Each

Oct 13, 2026 By Nida Fatima In Astera
An API is a defined way for one piece of software to request data or actions from another. The Model Context Protocol (MCP) is an open standard that gives AI agents a consistent way to discover and use tools and data sources, so they don't need a custom integration for each one. The short version: MCP doesn't replace APIs. Most MCP servers call APIs behind the scenes. What MCP changes is who the interface is designed for. APIs are designed for developers who read documentation and write code.
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lenses

AGNTCon + MCPCon Europe 2026: five takeaways

Oct 13, 2026 By Ismaël Kizito Papa In Lenses
Two days at RAI Amsterdam (17–18 September), nearly a hundred sessions, and energy throughout the hallways. AGNT Con + MCPCon Europe is the Agentic AI Foundation's flagship event under the Linux Foundation, and this year it consolidated the European MCP content that previously lived at MCP Dev Summit Europe. If you care about MCP, this was the place to be.
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AI Workspace + Playwright: Deploy Playwright tests from Jira requirements

Oct 13, 2026 By Tricentis In Tricentis
Connect AI Workspace, the Tricentis Quality Agent, and Playwright so a Jira requirement generates test cases and runs them as an unattended web test. In this walkthrough, you will see how a ticket drives test case generation, triggers a Playwright run over MCP, and returns a pass/fail report to Jira. Key highlights.
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