Agentic Coding Live: Three Data Projects, One Hour, Real Chaos
Blog post from Zerve
Greg Michelson and David Gonzalez conducted a real-time test of Zerve’s capabilities by developing three distinct data projects within an hour using a shared agentic canvas, aiming to evaluate the efficiency and transparency of agentic workflows. Utilizing a public dataset from Salt Lake County, the projects explored land ownership concentration, corporate landholding, and property tax fairness. The agentic workflow efficiently managed parallel tasks, automating tedious processes like data cleaning and aggregation while maintaining transparency by displaying code alongside outputs. This approach allowed for modular coding, enabling users to easily inspect, edit, and rerun steps, fostering trust and engagement among experienced practitioners. The exercise demonstrated that agentic tools like Zerve streamline data exploration and visualization without replacing the need for human judgment and decision-making, and highlighted the evolving role of these tools in enhancing productivity by handling repetitive coding tasks.
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