Practical guides on AI engineering, from production RAG systems to voice agents. Real lessons from real projects.
An exploration of vibe coding—the emerging practice of building software through natural language and AI collaboration, covering techniques, tools, best practices, and when it works best.
The story behind building an AI system for NICU families. Born from lived experience, grief, and the realization that parents deserve better tools to advocate for their children.
A comprehensive guide to crafting effective prompts for large language models in production environments, with practical examples and optimization strategies.
An in-depth exploration of React Server Components, their architecture, performance benefits, and practical implementation patterns for production applications.
A practical roadmap for career growth in software engineering, covering technical skills, soft skills, and strategic career decisions based on real industry experience.
A comprehensive guide to feature engineering techniques that improve model performance, covering numerical, categorical, temporal, and text features with practical Python examples.
A practical guide to writing maintainable code, focusing on the principles that have the highest impact in real-world software projects, with examples in multiple languages.
A comprehensive guide to regulatory compliance in healthcare software, covering HIPAA, GDPR, FDA requirements, and practical implementation strategies for health tech startups.
A practical guide to running Kubernetes in production, covering resource management, security hardening, observability, and deployment strategies based on real-world experience.
A practical framework for developing AI systems that are fair, transparent, and accountable, covering bias detection, explainability, and governance strategies.
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