Engineering Notes

Code is abundant now. Architecture, maintainability, and staying true to what the application is for are still the hard part.

All AI-Assisted Development Engineering Practice Infrastructure and Operations Search and Marketing Engineering Security

AI-assisted development APIs AWS Accountability Architecture Async Authorization Automotive Background Workers Backups Code Quality Consent Content Maintenance Crawlers Data Isolation Debugging Disaster Recovery Docker Email Engineering Practice Error Handling GA4 Google Ads Grafana IMAP Image Processing JavaScript Job Queues Landing Pages Local SEO Logging Mailcow Migrations Monitoring Multi-tenant OAuth Observability Opinion Performance PostgreSQL Pre-signed URLs Production PromQL Prometheus React Releases Reliability S3 SKIP LOCKED SMS Search Console Security Staging Technical SEO Testing Tooling Triage Twilio Uploads Webhooks

AI-Assisted Development Featured

Why I Write Tests Before AI Writes Code

AI coding works when the agent runs inside rules I set: fixed function contracts, known patterns, and tests that define done before the code exists.

Oct 14, 2026 Read more →

AI-Assisted Development Featured

The Hidden Costs of AI-Assisted Development

AI has changed how I write software, and I think the costs are easy to miss: ownership uncertainty, skill atrophy, and accountability that stays with the engineer.

Oct 14, 2026 Read more →