Technology

Use P4 MCP to ask about repo changes | #perforce #mcp #codereview #p4

Apr 21, 2026 By Perforce In Perforce

In this clip from LIMITLESS, our 2026 P4 Product Update, Jase Lindgren, Principal User Advocate, demonstrates how P4 MCP connects Claude with Perforce P4 source control to see the changes that different contributors have made to a depot.

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Why Cloudera AI is the Key to Solving Your Data Readiness and AI Project Backlog

Apr 21, 2026 By Cloudera, Inc. In Cloudera

Stop your AI projects from being abandoned due to a lack of data readiness. Cloudera AI provides the tools to secure, govern, and prepare your data for production, no matter where it lives.

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RAG Pipeline Testing: How to Validate Retrieval, Context Use & Answer Accuracy

Apr 21, 2026 By Sandeep Vashisht In BugRaptors

Large Language Models (LLMs) are impressive, but they are not without significant flaws. Their biggest hurdles are "knowledge cut-offs" where they cannot access information created after their training, and a tendency to "hallucinate" or confidently state false information. These models often struggle with the specific or real-time data that modern businesses rely on daily.

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Top 7 Cloud Testing Tools for Performance Testing in 2026

Apr 21, 2026 By LoadFocus In LoadFocus

Many development teams remain tied to legacy on-premise performance testing. These setups require dedicated hardware, manual orchestration, and time-consuming local environment configuration. For teams releasing multiple times a week, this approach quickly becomes a source of frustration. Bottlenecks emerge not only during test execution but also in sharing results.

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Questions to Ask AI About Your Marketing Data (HubSpot, GA4, Google Ads)

Apr 21, 2026 By Nevena Rudan In Databox

50+ platform-specific questions drawn from the Databox Prompt Library, plus the framework that separates answers you can act on from answers that sound right.

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AI-Ready APIs for Legacy Systems

Apr 21, 2026 By Cody Lord In DreamFactory

80% of enterprise apps still use decades-old systems, but accessing their data for AI is tough. The challenge? Security risks, outdated interfaces, and slow performance. Here's the solution: API abstraction. This method creates a secure, no-code layer between AI and legacy systems. It keeps your old code intact while enabling AI to access data safely and efficiently.

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What the Warp Terminal Sends Home

Apr 20, 2026 By Josh Thornton In Speedscale

The terminal is a developer’s most trusted tool. It sees your source code, your secrets, the commands you run in production. When a terminal adds AI and cloud features, it’s worth asking what it’s doing on the network.

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Chat With Your SQL Server Database Using ChatGPT + MCP (No Code Setup)

Apr 20, 2026 By DreamFactory | AI & Applications Data Gateway In DreamFactory

What if you could ask ChatGPT "which customers haven't ordered in 90 days?" and get an instant answer from your SQL Server database? I set this up live in under 5 minutes. No code. No SQL. Just questions and answers.

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Claude Mythos: The End of Software Security? #speedscale #claude #aiagents #aicoding #devops

Apr 20, 2026 By Speedscale In Speedscale

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Cloudera: Why Full Transparency and Hybrid Data Control Matter for AI Security

Apr 20, 2026 By Cloudera, Inc. In Cloudera

Are you losing visibility into your data and AI platforms? This video discusses the security concerns surrounding "black box" cloud-only solutions and highlights how Cloudera offers a more secure, transparent alternative. Cloudera is hiring hundreds of engineers this year for its technology and product teams to help build the world's only hybrid data and AI platform. Chapters.

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