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On 2026-07-15 Aaron Levie stated "Code is OP," arguing code's testability (you…

2026-07-15 · 01:22 UTC ·@fchollet ·1 min read

Brief

Aaron Levie (2026-07-15) argues that "code is OP" because code's fast testability makes it ideal for agent automation; most other knowledge work (e.g., a stock trade executed, a contract negotiated, a sales pitch delivered) lacks immediate evals. He warns enterprises must build better workflow evaluations and layer agents into processes to capture AI gains.

Why it matters

On 2026-07-15 Aaron Levie stated "Code is OP," arguing code's testability (you can run tests or manually verify behavior) makes it uniquely amenable to agent-driven automation.

Key details

  • Levie notes many non-code knowledge workflows only reveal outcomes once deployed — e.g., "a stock trade is executed, a contract is negotiated, a sales pitch is delivered" — so they lack immediate evalability.
  • He asserts enterprises that build robust evaluations for knowledge-work workflows and layer agents into processes will gain the most from AI; evaluation capability will become critical for agent adoption.
Source evidence

Code is OP. Now what if... we made everything code?

Aaron Levie (@levie)

One of the many properties that code has that makes it highly amenable to agents is that you can more or less quickly test it. You can either go see if the application works manually, or you can actually run a test on what you built.

Most other areas of work don’t have this benefit. You only get the testing when the final product hits the real world in some capacity - a stock trade is executed, a contract is negotiated, a sales pitch is delivered, and so on.

There’s probably going to be a whole new set of opportunities for how we begin to test the rest of work in this way. Ultimately it will mean more agents being layered into workflows.

It also means we need much better evals on most of our workflows. Most work today in enterprises doesn’t have an associated eval to know if something broke or improved with a model, prompt, or system change.

The enterprises that are able to eval their knowledge work the best also stand to gain the most from AI. Will become a critical aspect of agent adoption over time.

— https://nitter.net/levie/status/2077201458546745553#m