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AI Coding

Use marimo.io for rapid iteration of ideas to build up a prompt library.

Purpose​

Those that can leverage AI coding agents to write code that is effective for it's intended purpose have a significant advantage. The key is to create and index of coding tasks and then establish the balance of strengths between human and AI agents.

Agents By Type​

AI Coding Platforms

AI Coding Assistants

AI Engineers

Problems​

Common problems with AI coding agents:

  • Next Action Prediction
  • Multi-File Edits
  • Multi-hop Context
  • Bug Detection and Debugging

See Cursor Problems

Practices​

The key ingredients to success:

  • Choose the right tools to constrain agent behavior
  • Using a reactive DAG to allow humans to course-correct agent plans
  • Building granular, user-centric evaluators instead of chasing one "god metric"
  • Gating releases on the metrics that matter, not just gaming a score
  • Constantly scrutinizing model inputs & outputs to uncover insights

See AI Coding Plan

Performance​

Quality Assessment Benchmarks:

Use Cases​

What the most valuable use case for AI coding agents?