CM
Chidozie ManagwuFounding writerSep 288 min read
Building with Claude: The Production Lesson Is Bigger Than Prompting
Most discussions about building with Claude begin with prompt engineering.
MLOps & Infrastructure
Model deployment, monitoring, feature stores, experiment tracking, and ML pipelines.
4 articles
AA
Adejoke AFounding writerSep 112 min read
The AI Generalist: Opportunity or Organisational Shortcut?
AI is making generalists increasingly valuable, especially in smaller organisations. But greater capability should not become an excuse to turn one role into an entire department.
Chidiebere NjokuFounding writerAug 317 min read
Your AI Is Only as Good as Your Data Pipeline
The AI revolution over the past few years has been dominated by massive foundation models, trillion-parameter counts, and futuristic chat interfaces. Yet inside engineering teams…
UY
Ula YousefAug 176 min read
Machine Learning In Production , MLOps & Machine Learning Lifecycle Part1
The greatest trick the Devil ever pulled was convincing the world that a machine learning project lifecycle ends when achieving high accuracy. And like that… he’s gone.
