Why AI Agents Work Best With Simple Markdown Specs
Source: Matt Rickard
The emerging pattern in AI-assisted development isn't fancy prompting or elaborate frameworks—it's stripping requirements down to plain Markdown that agents can reliably parse and execute. This matters because it inverts the usual developer experience: instead of wrestling with ambiguous natural language, you're forced to write specs clear enough that a machine can build from them, which often reveals gaps in human thinking first. The manual inspection step creates a feedback loop that's faster than traditional code review. The bottleneck in AI development isn't model capability but specification discipline.