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Battle-tested tools & patterns for production-grade AI/ML applications.

We build tools that help engineers and data-scientists ship production-grade AI applications faster. Moving from prototype to production with AI is deceptively complex, what works in a notebook often breaks at scale. Most AI projects fail, with teams spending the majority of their time wrestling with surrounding complexities instead of running experiments or building features.

Technical debt accumulates quickly: model drift, versioning conflicts, hidden feedback loops, and cascading dependencies create maintenance nightmares that weren't anticipated during prototyping. Our battle-tested tools and patterns transform experimental AI code into robust systems, embedding best practices from real production deployments. These tools provide the essential building blocks—from prompt engineering to RAG pipelines, evaluation frameworks to agent architectures—so you can focus on creating value for your users instead of reinventing the wheel.

We believe AI should amplify human creativity, not replace it. Our approach emphasizes practical solutions that enhance developer productivity, simplify complex integrations, and accelerate your path from idea to production—making advanced AI capabilities accessible to all developers.

📰 AI Enhanced Engineer Newsletter — Deep dives into AI-assisted engineering and the future of development.

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  1. ml-production-service ml-production-service Public

    Reference implementation for deploying ML models from notebooks to production

    Python

  2. ai-assistant-roles ai-assistant-roles Public

    Production-Grade AI Assistant Prompts

    Python 2 1

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