
Your AI coding agent is only as good as the codebase you give it
I’ve spent nearly 15 years building production systems — portfolio management, research and quant systems, enterprise financial technology across multiple geographies. The last three of those years have been with AI coding agents as a core part of the workflow. In that time I’ve seen the same pattern play out repeatedly: agents perform brilliantly on new projects and fall apart on large legacy ones. People blame the model. Usually they’re wrong.
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