Blog

Insights on software architecture, AI engineering, data privacy, and building efficient systems.

· 4 min read

Precarious Infrastructure

Infrastructure teeters at the brink of collapse — but people carry on. Maybe that sounds like your team's software. Here's how to stop surviving and start building with intention.

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· 8 min read

LLMs as Context Synthesizers: Why Direct Instructions Don't Work

Learn to work with LLMs as context synthesizers, not instruction followers. Why command-based prompting fails and how information flow shapes better outputs.

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· 12 min read

Building Software That Actually Works: An Engineer's Guide to Requirements-First Development

Most software projects fail because teams build the wrong thing. How engineers can own requirements and build solutions that actually solve problems.

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· 5 min read

The Unix Philosophy in the Age of AI: Timeless Principles for Modern Engineering

Exploring how the foundational principles of Unix continue to guide modern AI development, from modularity to transparency and human-centric design.

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· 5 min read

From JSON to Binary: How We Made DeBERTa Tokenizer 100x Faster

How we eliminated JSON parsing overhead and achieved 10-100x faster DeBERTa tokenizer startup with a custom binary format for production ML inference.

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· 6 min read

The Great Data Privacy Divide: Why Engineering Speed Meets Compliance Reality

For forty years, engineering teams optimized for speed. Then came privacy laws. How the disconnect between performance and compliance is reshaping software.

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· 7 min read

Healthcare Software's Privacy Paradox: Breaking Free from Legacy Thinking

Legacy privacy approaches stifle healthcare software innovation. How dynamic privacy protection unlocks better UX, lower costs, and faster development.

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· 6 min read

The Reality of Data Compliance: A Technical Evolution

When doing the right thing drives wrong results. How zero-copy architecture transforms healthcare data compliance from expensive constraint to foundation.

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· 4 min read

So you want to build an AI system...

Building AI systems that deliver real business value requires navigating a complex landscape of technical considerations that directly impact your bottom line.

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· 7 min read

The Unsustainable Economics of Generative AI: Finding a Path Forward

Many companies demo AI capabilities they can't afford to operate. The sobering reality of AI economics and sustainable alternatives.

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· 5 min read

Beyond the Model: Why Your AI Architecture Is Holding You Back

Your model is only as effective as the infrastructure it runs on. Learn how the right architecture can dramatically improve AI performance and cost-efficiency.

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· 4 min read

On-Premises AI: The Smarter Way Forward in Corporate Computing

On-premises AI offers better control, data privacy, and long-term cost benefits vs. cloud alternatives. How to implement on-prem AI effectively.

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· 3 min read

Beyond the AI Hype: Why Current ML Approaches Are Failing Businesses

Despite billions in investment, current ML approaches fail to deliver. Why 'bigger is better' has hit its ceiling and how targeted intelligence can help.

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· 6 min read

ROI Beyond the Demo: Making AI Work for Your Business

Moving beyond impressive AI demos to real business value requires infrastructure, talent, and expertise. How to achieve actual ROI from AI investments.

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