Cross-Platform Desktop App Development: You're Arguing About the Wrong Number
The Electron-vs-Tauri benchmark war misses the metric that actually sinks desktop projects: who maintains the app in year three.
Blog · 11 posts
The Electron-vs-Tauri benchmark war misses the metric that actually sinks desktop projects: who maintains the app in year three.
RAG, told straight: an information-retrieval pipeline with a language model bolted to the end. The retrieval half is where quality is won or lost.
Google announced at I/O 2026 that Search generates custom dashboards and mini-apps on the fly via Antigravity.
Most companies asking for a custom LLM don't need to train a model. They need retrieval, evals, and tooling around a frontier one. Here's the honest split.
84% of developers use AI tools. Only 29% trust them. METR's study: AI made experienced developers 19% slower. The productivity paradox.
IBM 2025: supply-chain breaches cost $4.91M and take 267 days to contain. Only 24% of teams trust their dependencies.
DORA 2025: AI makes teams faster and less stable simultaneously. More throughput, more failures, longer recovery. Fix the platform first.
InfoQ 2025: premature microservices are now a top scaling bottleneck. Common failure at ~1,000 concurrent users. The architecture trap.
73% of CTOs report decision anxiety around developer productivity metrics. Why single-metric optimization breaks engineering teams.
35% of developers use 6-10 tools daily. 45% say debugging AI code takes longer than writing it themselves. The hidden debugging tax.
Snyk: 62% of teams say 25%+ of vulnerability alerts are false positives. 60% say automation made it worse. The alert fatigue problem.