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James M

AI systems writer focused on model internals, benchmarks, and reasoning workflows. I break complex model behavior into practical engineering insight.

Joined Joined on 

Education

MS in Computer Science, focus on Machine Learning Systems

Work

AI Systems Analyst and Model Evaluation Specialist

5 Essential AI Tools: Story, Data, & Engagement Predictors (2024)

5 Essential AI Tools: Story, Data, & Engagement Predictors (2024)

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5 min read
Why Your AI Image Processing Pipeline is Failing Production (Common Mistakes)

Why Your AI Image Processing Pipeline is Failing Production (Common Mistakes)

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6 min read
I Burned $500 on GPU Cloud Credits: A Developer's Pivot to Multi-Model APIs

I Burned $500 on GPU Cloud Credits: A Developer's Pivot to Multi-Model APIs

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6 min read
When Models Stop Being Black Boxes: A Hands-on Dive into Modern AI

When Models Stop Being Black Boxes: A Hands-on Dive into Modern AI

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6 min read
When an AI Renames the Codebase: Inconsistent Variable Names During Multi-file Refactors

When an AI Renames the Codebase: Inconsistent Variable Names During Multi-file Refactors

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3 min read
When a code generator recommends deprecated Pandas APIs — a quiet failure mode

When a code generator recommends deprecated Pandas APIs — a quiet failure mode

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3 min read
When a refactor tool renames only half the project: inconsistent variable names across files

When a refactor tool renames only half the project: inconsistent variable names across files

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3 min read
When Generated Tests Pass but Don't Protect: LLMs Creating Superficial Unit Tests

When Generated Tests Pass but Don't Protect: LLMs Creating Superficial Unit Tests

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3 min read
When generated tests pass but miss the bug: lessons from model-authored unit tests

When generated tests pass but miss the bug: lessons from model-authored unit tests

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3 min read
When code-completion suggests deprecated Pandas APIs: a cautionary post-mortem

When code-completion suggests deprecated Pandas APIs: a cautionary post-mortem

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3 min read
When AI-generated tests pass but miss the bug: a postmortem on tautological unit tests

When AI-generated tests pass but miss the bug: a postmortem on tautological unit tests

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3 min read
When an AI refactor renames things wrong across files

When an AI refactor renames things wrong across files

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3 min read
When AI Refactors Introduce Inconsistent Naming Across Files

When AI Refactors Introduce Inconsistent Naming Across Files

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3 min read
When the AI Misreads the Stack: How Models Misinterpret Error Traces

When the AI Misreads the Stack: How Models Misinterpret Error Traces

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3 min read
When long conversations cause context drift and hidden errors

When long conversations cause context drift and hidden errors

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3 min read
When long chats change the code: context drift and hidden errors

When long chats change the code: context drift and hidden errors

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3 min read
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