Expert in the loop: rethinking AI oversight
Human in the loop made sense when AI errors were obvious. The failures we see now look like working software, and only an expert can tell the difference.
Tag: software-engineering
Google's Gemma 4 is Apache 2.0, and That Changes the Local Model Conversation
Gemma 4 ships under Apache 2.0 with native audio, vision, reasoning, and function calling. Here is what it means for teams running local models and building AI-powered products.
What happens when you let an AI agent loose on your production infrastructure
A developer lost 2.5 years of data in seconds after Claude Code ran a Terraform destroy on live infrastructure. Here is what actually happened, and why the same mistake is easier to make than you think.
Measure Twice, Prompt Once: Why Business Requirements Come Before the Code
AI coding tools like Cursor and Replit are fast, but without rigorous business logic and security protocols, they build liabilities. Here is how we bridge the gap.
The Hidden Costs of Legacy Databases (And How We Modernize Them)
Legacy databases cost more than you think, and most of the damage is invisible. Here is how WebArt Design approaches database modernization without blowing up what already works.
