Building an AI-Powered Development Workflow

In today's tech landscape, AI tools are useful for specific development chores — drafting, summarizing, and first-pass tests. This article shows where they fit in our pipeline and where a human still reviews every line.

Key components of our workflow include code generation for drafts, automated testing, server-side validation, and AI-assisted review. Nothing ships on AI output alone.

Specialized workflows compress some delivery timelines. We report test coverage per project from the actual suite — never 100% unless the report says so — and keep strict type checks on.