10 articles in this category
An evidence-based guide to using caffeine strategically for deep work sessions — covering adenosine mechanics, optimal dosing, half-life, tolerance cycling, L-theanine stacking, and a practical developer protocol.
An honest, research-backed look at what standing desks actually do and don't do for developer health — including optimal sit-stand protocols, anti-fatigue mat selection, and a practical daily schedule.
A practical, tiered guide to the quantified self stack for developers — from HRV and sleep tracking through CGM and blood biomarkers — focused on the metrics that move the needle on cognitive output, not just vanity numbers.
Numbness, tingling, wrist pain — but which condition do you actually have? A practical breakdown of carpal tunnel syndrome vs the RSI spectrum for developers, with evidence-based treatment and prevention.
Evidence-based guide to Computer Vision Syndrome for developers. Covers blink rate research, blue-light glasses evidence, the 20-20-20 rule, monitor setup, dry eye treatment, and lutein/zeaxanthin nutrition.
A systems-level ergonomics guide for software developers — monitor height, chair adjustment, keyboard positioning, standing desk protocols, and the actual biomechanical evidence behind each recommendation.
Continuous glucose monitoring isn't just for diabetics. Here's what a CGM reveals about blood sugar during coding sessions, late-night sprints, and deadline crunches — and why developers should care.
The neuroscience behind cold water immersion for developers — norepinephrine spikes, dopamine baseline elevation, BDNF upregulation, and a practical protocol for improving mental clarity, deep work focus, and recovery between coding sessions.
Repetitive strain injury is the occupational hazard nobody talks about until it ends careers. Here is an evidence-based framework for preventing, monitoring, and recovering from RSI as a software developer.
Heart rate variability is the most actionable biometric a developer can track. Here's what HRV actually measures, which devices work, how to interpret your trends, and how to use the data to make smarter decisions about training, sprint work, and recovery.