Generative coding tools boost velocity while quietly eroding software architecture, creating monoliths faster than ever before. The data reveals a paradox: more code, more technical debt.
Moondream 3 promises frontier-level reasoning with blazing speed, but does it deliver or just exploit benchmark shortcuts?
After analyzing 10+ years of tech lead failures and architectural disasters, these are the patterns that keep destroying software systems
IBM’s compact document AI model delivers enterprise-grade performance without the bloat, challenging conventional OCR approaches with structural preservation
Google silently axed 200+ contractors who make Gemini sound smart, just as they complained about $16/hr wages and stratospheric PhD workloads.
Cloudflare’s new Data Platform brings data processing to the edge, potentially disrupting AWS and Azure’s centralized cloud dominance.
An unflinching look at the brutal realities of legacy system modernization, from data migration nightmares to organizational resistance that derails even the best-laid plans.
Why premature microservices and over-engineering doom Azure scaling efforts, real lessons from hitting 10 million users
With 3,057 TPS and 5.2ms latency, PostgreSQL 18 isn’t just catching up to NoSQL systems, it’s redefining what a relational database can do under load.
Why your ‘loosely coupled’ event system is probably a tightly coupled mess in disguise
Why sharing databases between microservices remains the industry’s most tempting sin, and what actually happens when teams ignore the golden rule
Teams are ditching million-dollar AI bills for models like Kimi K2. Here’s why the economics no longer work for closed-source AI.
