Embracing the Code Review Bottleneck
Blog post from Honeycomb
In navigating the challenges presented by Honeycomb's Private Cloud offering, the Tenant team undertook an experiment to address the bottleneck in their code review process by leaning into it rather than trying to eliminate it. This approach involved focusing on reviewing not just the code but also the plans and prompts given to AI tools responsible for code generation. The team aimed to increase awareness and alignment among members by utilizing a standardized process for planning and feedback, which included creating Claude skills for various project phases. Despite initial reluctance, the experiment fostered greater team cohesion and understanding of the system, leading to shared mental models and the ability to reuse plans for recurring tasks. Although the strict form of the workflow was not universally applied to all tasks, its principles were selectively adopted, contributing to improved planning and alignment without compromising development velocity. Overall, the initiative highlighted the potential of AI-assisted programming while emphasizing the importance of team dynamics and the qualitative aspects of software development.
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