Guiding AI writing to make technical text easier to review (a11.to)

Recent advancements in AI-driven coding agents are leading to increased concerns about the quality and comprehensibility of the generated technical documentation. While these agents expedite the coding process, many software engineers note that the resulting comments and documentation can be verbose and lack clarity, often filled with unnecessary information and ambiguous narratives. This shift places an additional cognitive burden on engineers reading the code, making it harder to discern relevant context and priority, which can detract from overall communication and workflow efficiency. To address these issues, engineers are encouraged to establish enforceable writing rules for their AI agents. By providing clear guidance on the structure and priority of documentation, teams can improve the outputs generated by these agents. This approach not only enhances readability but also maintains the essential technical density of the content. Implementing such guidelines has shown promise in refining AI-generated text, streamlining communication within development teams, and ultimately ensuring that the gains in development speed do not come at the cost of clarity and comprehension.