The Journal
Essays
Long-form writing on AI, philosophy, psychology, and systems thinking.
-
Feedback Cultures Are Built, Not Declared
78% of engineers reported withholding critical feedback at organizations that declared feedback culture but lacked structural mechanisms. Feedback requires infrastructure.
-
Synthetic Data Ethics: When Fake Data Creates Real Bias
Four of 5 synthetic data pipelines reproduced or amplified original biases. In one case, synthetic data introduced a novel discriminatory correlation. Fake data creates real bias.
-
From 9,000 Manual Steps to Zero
Going from 9,000 manual steps to zero meant redesigning the process, not automating it. After categorizing steps as value-adding, error-correcting, or redundant, 80% were eliminated before any automation was applied.
-
Why most productivity systems fail: A philosophical diagnosis
-
Digital asceticism: Choosing constraints in a world of infinite capability
-
Change Management for Engineering Teams
Studying 5 process change initiatives found the 2 that succeeded addressed engineers' autonomy, tooling, and evidence concerns. Co-designed processes achieved 83% adoption.
-
Geospatial Data Engineering Is Underinvested and Overneeded
The geospatial analytics market will reach $150 billion by 2028, yet fewer than 8% of data teams have spatial data skills. Location intelligence is the largest skills deficit in data engineering.
-
The therapeutic value of building: How engineering projects function as meaning-making
-
How AI changes the economics of attention, not just productivity
-
Data Modeling Is the Meditation Practice of Data Engineering
Teams that skip formal data modeling accumulate 3.2 redundant entity definitions per domain within 18 months. Modeling is the discipline most needed when it feels least productive.