Understanding AI Code Assistants: Beyond the Hype
What AI code assistants do well, where they fail, and how to use them safely in production software development.
AI-Assisted Development
AI-Assisted Development for production systems: repeatable workflows, security boundaries, performance defaults, and a publishing pipeline.
A Spec-Driven AI Workflow That Holds Up in Production
A disciplined Plan -> Implement -> Checkpoint loop that keeps AI-assisted development reliable once context resets become routine.
Security Boundaries for AI-Assisted Development in ASP.NET Core
A practical threat model for AI-generated diffs, with concrete guardrails from a real ASP.NET Core content site.
Performance Defaults That Beat Clever Optimizations
The boring baseline that makes content sites fast: OutputCache policies, EF Core query shaping, compression, and stable indexing.
From Markdown to Live: A Publishing Pipeline Without a CMS
How DAP iQ turns markdown into published pages with predictable SEO output: frontmatter, upserts, feeds, sitemaps, and local validation.