Treating AI systems like traditional software leads to project failure. Discover the five battle-tested architectural patterns that successful teams use to build AI systems that scale, adapt, and deliver long-term value.
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Discover the AI-First Development Framework, a methodology that preserves context and intent alongside code, ensuring sustainable, maintainable software in the AI era.
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AI-generated code introduces subtle security risks that standard tools miss. Discover how Snyk's integrated approach to SAST, DAST, and SCA creates a comprehensive security strategy for AI-first development.
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Behind the impressive metrics of AI-generated code lies a productivity mirage. This post uncovers the true costs of unstructured AI adoption and introduces the PAELLADOC framework for sustainable gains.
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Are you using AI assistants for coding? The promise of productivity is irresistible. But that brilliant code popping up in seconds might be hiding subtle vulnerabilities that could make your entire project unsustainable.
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The uncomfortable philosophical truth about why AI-generated code becomes unmaintainable, and how a new development paradigm can fundamentally transform software creation.
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The Context Crisis is silently killing AI projects. Learn how PAELLADOC provides a comprehensive framework for documenting and preserving context throughout the development lifecycle.
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