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Replit vs Cursor : Which AI Coding Platform Should Developers Choose?

Dec 18, 2025 By Keploy In Keploy

In an age where software developers are speeding up their code development to meet the demand of rapid application deployment, there are new tools being developed based on Artificial Intelligence (AI) technology. Replit and Cursor have received a lot of excitement for both of these platforms due to their use of artificial intelligence in assisting developers with coding.

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Meet the New BI A-Team

Dec 18, 2025 By Francois Lopitaux In ThoughtSpot

Talk to anyone who works with data, and you’ll hear a familiar story: Data engineers are still bogged down cleaning, prepping, and untangling semantic models. Analysts are churning out dashboard after dashboard, with little time left for real analysis. Developers are hand-coding embedded analytics, turning every new feature into a months-long project. And business users are stuck in line, waiting for answers.

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How SpotterCode Supercharges ThoughtSpot Embeds for Developers

Dec 18, 2025 By ThoughtSpot In ThoughtSpot

Developers, ditch the documentation dive! SpotterCode is your 10x coding partner for embedded intelligence. ThoughtSpot's Nicolas Rentz shows how SpotterCode leverages the ThoughtSpot SDK docs and code examples to auto-generate production-ready code directly in your IDE. Accelerate your path to market with clean, seamless integration.

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2026 Data & AI Predictions: What Trends Will Shape the Future?

Dec 18, 2025 By Confluent In Confluent

We recently released our 2026 Confluent Predictions Report, outlining bold ideas and trends that are shaping the future of data, AI, and real-time systems. And stay tuned for an upcoming episode of the Life Is But a Stream web show that will air early in the new year. Join the conversation as host Joseph Morais sits down with Sanjeev Mohan, independent analyst at SanjMo, for an exciting roundtable discussion breaking down those predictions. Are they forecasts? Are they trends? And which ones will matter most as we move forward into 2026?

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Move More Agentic Workloads to Production with AI Gateway 3.13

Dec 18, 2025 By Greg Peranich In Kong

Kong AI Gateway 3.13 moves enterprises from AI experimentation to shipping production-grade agents by unlocking new capabilities focused on agentic security, developer productivity, and resilience, including MCP tool-level access control, expanded provider support, and smarter load balancing.

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How Qlik Answers Unlocks Generative AI for HR

Dec 17, 2025 By Tom Ricks In Qlik

Human Resources is rich in data but often struggles to make it accessible and actionable. As a profession we also live in the ‘grey’ – of course recognizing that People are by very definition different, unique and often require individual approach.

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Accelerating the API SDLC with SmartBear MCP Server and Swagger MCP Tools

Dec 17, 2025 By Wiktoria Tyc In SmartBear

Note: The SmartBear MCP Server is under active development and features may change. Check our GitHub repository for the latest updates and compatibility information. At SmartBear, we show how our MCP Server enables a secure and intelligent bridge between SmartBear platform data and AI-powered development workflows.

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You Have ~6 Months to Win AI Search (Here's Why)

Dec 17, 2025 By Databox: Modern BI Software In Databox

There’s a short window right now where brands can still get visibility in AI search and it’s closing fast. In this clip, Rick Kranz (Founder, The AI Marketing Automation Lab) explains why AI SEO isn’t a future trend, but a right-now opportunity for companies willing to adapt.

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Digital Twins Gone Wild: My Unexpected AI Doppelgänger

Dec 16, 2025 By Alan Mon In Speedscale

I recently tried using AI to create a digital twin of myself. I uploaded a photo, expecting a futuristic, slightly improved version of me… and what did I get in return? A picture of Kim Jong Un. Clearly, AI has a sense of humor—or a very different definition of “twin.” Forget Arnold Schwarzenegger and Danny DeVito.

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Inside ClearML's AMD Instinct GPU Partitioning Integration: Architecture, Orchestration, and Resource Management

Dec 16, 2025 By ClearML In ClearML

GPU underutilization costs enterprises millions annually, with expensive accelerators frequently running single workloads at a fraction of their capacity. According to ClearML’s 2025-2026 State of AI Infrastructure at Scale report, almost half (49.2%) of IT leaders at F1000 companies identified maximizing GPU efficiency across existing hardware, including shared compute and fractional GPUs, as their top priority for expanding AI infrastructure over the next 12-18 months.

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