EF Core Performance Mistakes That Ship to Production
The N+1 queries, missing projections, and tracking overhead that pass code review and slow down production systems.
Long-form engineering research, field notes, and technical deep dives.
The N+1 queries, missing projections, and tracking overhead that pass code review and slow down production systems.
The 5 DI anti-patterns that pass code review: service locator, captive dependencies, over-injection, disposable transients, and lifetime mismatches.
A decision rubric for choosing between Minimal APIs and Controllers based on team size, complexity, and maintainability requirements.
A disciplined Plan -> Implement -> Checkpoint loop that keeps AI-assisted development reliable once context resets become routine.
The boring baseline that makes content sites fast: OutputCache policies, EF Core query shaping, compression, and stable indexing.
How DAP iQ turns markdown into published pages with predictable SEO output: frontmatter, upserts, feeds, sitemaps, and local validation.
A practical threat model for AI-generated diffs, with concrete guardrails from a real ASP.NET Core content site.
What AI code assistants do well, where they fail, and how to use them safely in production software development.