Archive: 2025/10
Vibe coding boosts development speed with AI-generated code, but introduces serious security and compliance risks. Learn how to use AI assistants like GitHub Copilot safely without sacrificing control or long-term maintainability.
Small changes in how you phrase a question can drastically alter an AI's response. Learn why prompt sensitivity makes LLMs unpredictable, how it breaks real applications, and proven ways to get consistent, reliable outputs.
Domain-specialized LLMs like CodeLlama, Med-PaLM 2, and MathGLM outperform general AI in coding, medicine, and math. Learn how they work, their real-world accuracy, costs, and why they're replacing generic models in professional settings.
Learn how to use secure prompting to make AI-generated code safer. Discover proven templates, rules files, and techniques that reduce vulnerabilities by up to 68% in vibe coding workflows.
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Artificial Intelligence
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Recent-posts
Secure Prompting for Vibe Coding: How to Ask for Safer Code
Oct, 2 2025
Citation and Attribution in RAG Outputs: How to Build Trustworthy LLM Responses
Jul, 10 2025
Marketing Content at Scale with Generative AI: Product Descriptions, Emails, and Social Posts
Jun, 29 2025
Agentic Generative AI: How Autonomous Systems Are Taking Over Complex Workflows
Aug, 3 2025
Testing and Monitoring RAG Pipelines: Synthetic Queries and Real Traffic
Aug, 12 2025