The app for independent voices
Itβs time for another data/AI roundup and here are the highlights from March π
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Why context engineering matters more than prompt hacks
Bayesian statistics in plain English
Why most agentic AI systems fail
The problem with treating context like tokens
A visual guide to modern attention variants
How GPT 5.4 improves Codex
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Why modern data stacks are getting harder to understand
Why ETL is losing its central role
What makes a strong data engineering GitHub portfolio
Why AI builders need data engineering fundamentals
A beginnerβs guide to database internals
Why refactoring beats rebuilding data models
Plus: what frontier AI job postings reveal about the market, Why data teams should start with the business model and Why strategy matters more than dashboards
