Coding agents can't build products (dolphinmade.com)

A recent announcement from the Dolphin team highlights the shortcomings of current coding agents in product development. Testing a coding agent to replicate Twitter resulted in unusable code, demonstrating that these agents struggle with architectural decisions crucial for building functional applications. Instead, the Dolphin approach combines a two-step Planner/Coder system, where a high-level planner interacts with the developer before translating these discussions into concrete technical specifications for coding agents, ensuring that they adhere to specific architectural opinions. The significance of this development lies in the introduction of the Dolphin Architecture—a structured framework derived from extensive experience in web app development. By leveraging scaffolding, conditional prompting, and specialized linting scripts, Dolphin greatly improves the accuracy and efficiency of building complex applications. This method allows for more coherent code generation by injecting relevant context based on the type of tasks being performed. As the AI/ML community explores the potential of coding agents, Dolphin's emphasis on a defined "bag of tricks" may pave the way for future coding models that integrate successful development principles directly into their architectures, potentially transforming how developers interact with AI tools.