Design Logs: Bridging the Gap Between AI and Predictable Software Development

As AI-assisted development scales, models struggle to maintain context and consistency across growing codebases—a challenge known as the 'context wall.' The Design-Log Methodology solves this by maintaining version-controlled markdown documentation of design decisions, enabling AI to function as a collaborative architect rather than a code generator. This structured approach is especially valuable for security-critical applications, transforming the error-prone prompt-and-correct loop into a sustainable, predictable development workflow.