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Oscar Rieken

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Location New Orleans, LA Joined Joined on  github website

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Rieken Consulting

Bayesian Knowledge Tracing in 37 lines of Python — how NumPath models what a student knows
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Bayesian Knowledge Tracing in 37 lines of Python — how NumPath models what a student knows

#numpath #adaptivelearning #bayesian #python
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4 min read
Two Cross-Platform Bugs in Our Go CLI (And How We Fixed Them)
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Two Cross-Platform Bugs in Our Go CLI (And How We Fixed Them)

#go #debugging #windows #testing
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4 min read
Two Knowledge Hierarchies: Structuring Context for AI Agents and LLMs
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Two Knowledge Hierarchies: Structuring Context for AI Agents and LLMs

#ai #claudeai #llm #devtools
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4 min read
Making LLM Calls Reliable: Retry, Semaphore, Cache, and Batch
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Making LLM Calls Reliable: Retry, Semaphore, Cache, and Batch

#go #llm #ai #architecture
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4 min read
Language-Agnostic Code Generation: The Driver Plugin Model
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Language-Agnostic Code Generation: The Driver Plugin Model

#go #architecture #designpatterns #devtools
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3 min read
Why We Rewrote Our Python CLI in Go (and What We Gained)
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Why We Rewrote Our Python CLI in Go (and What We Gained)

#go #python #cli #devtools
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3 min read
Why We Built TestSmith: The Test Coverage Problem Nobody Talks About
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Why We Built TestSmith: The Test Coverage Problem Nobody Talks About

#testing #python #devtools #productivity
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4 min read
Prompt engineering for teacher insights with Claude — structured JSON and graceful fallbacks
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Prompt engineering for teacher insights with Claude — structured JSON and graceful fallbacks

#numpath #adaptivelearning #python #llm
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4 min read
Attempt history in the teacher dashboard — the scalar subquery pattern
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Attempt history in the teacher dashboard — the scalar subquery pattern

#numpath #adaptivelearning #python #vue
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4 min read
Why teachers need explainable AI, not just accurate AI — building the KC dashboard
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Why teachers need explainable AI, not just accurate AI — building the KC dashboard

#numpath #adaptivelearning #vue #python
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3 min read
Closing the feedback loop: how mistake classification drives adaptive problem selection in NumPath
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Closing the feedback loop: how mistake classification drives adaptive problem selection in NumPath

#numpath #adaptivelearning #python #bayesian
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3 min read
Why I'm building an AI math tutor for dyscalculia — and grounding it in 30 years of ITS research
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Why I'm building an AI math tutor for dyscalculia — and grounding it in 30 years of ITS research

#numpath #adaptivelearning #dyscalculia #python
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5 min read
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