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Learn how to install, configure, and integrate MCPM-Aider—a powerful CLI tool for managing Model Context Protocol (MCP) servers in Claude App and Aider. This tutorial covers setup, both integration methods, troubleshooting, and real-world examples to boost your AI development workflow.
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Explore Dify, the open-source platform revolutionizing agentic AI workflows. This technical tutorial covers Dify's features, setup, use cases, and practical implementation tips for developers and AI engineers building LLM applications.
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Discover how the MCP Shrimp Task Manager leverages AI to revolutionize software development workflows with persistent memory, intelligent task decomposition, and structured project management. Includes setup guide and real-world usage examples.
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Discover how the Playwright Failure Analyzer Demo leverages AI to revolutionize test automation and debugging. Learn about its features, setup, and real-world usage to accelerate your testing workflow.
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Discover Agent Zero, the groundbreaking open-source AI framework with 12k+ GitHub stars. Learn how to build autonomous AI agents with GUI integration, dynamic tool creation, and advanced coding capabilities in this comprehensive technical tutorial.
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Discover Cherry Studio, the open-source desktop client that unifies access to multiple LLM providers like OpenAI, Anthropic, and Google. Learn about its features, installation, and practical workflows for AI development.
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Discover ElizaOS, the open-source multi-agent AI framework. This comprehensive tutorial covers its features, architecture, setup, and practical examples to help you build and deploy autonomous agents efficiently.
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Explore the 'Awesome AI Tools' repository—a meticulously curated collection of 500+ AI tools for developers, creators, and businesses. Learn about its structure, key categories, and practical ways to boost productivity with the latest AI innovations.
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A comprehensive, step-by-step technical tutorial on the NVIDIA NeMo Framework. Learn how to build, train, and deploy enterprise-scale AI models with practical code examples and expert guidance.
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SWE-agent: AI-Powered Automated Bug Fixing for GitHub Issues SWE-agent, developed by researchers from Princeton University and Stanford University, is revolutionizing software engineering with its ability to automatically fix GitHub issues using AI. With over 17,600 stars and state-of-the-art performance on SWE-bench, this tool is transforming how developers approach bug
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A comprehensive 2025 research article on prompt engineering for enterprise teams. Covers systematic optimization, security, and cost strategies, with insights from Thoughtworks Technology Radar and industry leaders.
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Executive summary * Product managers and engineering leaders should prioritize prompt engineering as a core competency, as it directly impacts AI system performance, cost efficiency, and regulatory compliance * Enterprise architects need to establish prompt governance frameworks now, as research shows formal prompt engineering programs can enhance output quality by 40-60% * Security