SRDD (Part 1 of 4) - The Best AI Coding Methodology

Senior software engineer with 25 years of experience developed Spec-Roundtrip Driven Development (SRDD) to align AI code generation with human control. Initial excitement with AI coding tools like Cursor IDE led to concerns about developers losing system understanding. This loss of comprehension can result in "archaeological programming," where future developers struggle to decipher AI-generated code. The author advocates for AI to automate mundane tasks like boilerplate code and tests, while humans focus on architecture, intent, and judgment. Command-line AI assistants are preferred for maintaining developer orientation within the codebase. The article critiques the industry's rush to AI without established best practices, citing examples of companies reversing AI-driven layoffs due to decreased service quality. Early AI adoption involved rapid development of small tools during a "honeymoon phase," but this breaks down with larger, multi-service systems. The author highlights the loss of continuity and subtle degradation of AI-generated code as context windows become limiting factors. This leads to common issues like scope creep, inconsistent implementations, and architectural drift. The industry is fragmenting into various AI coding methodologies, some of which fail to address the problem at scale. The author critiques Spec-Driven Development (SDD) for its potential to reintroduce Waterfall-like upfront design issues and for AI's inability to capture nuanced human judgment. SRDD aims to find a "third way" by keeping developers in control and ensuring systems are not only internally coherent but also expressive and useful.