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The Role & Your Charter1 / 2

2 min lesson

The production tradeoffs you own

Put yourself in this case: "An FDE owns latency, cost and quality tradeoffs on every model call. True or false: with enough engineering you can optimize all three simultaneously to their maximum." Give the clearest next step.

Step 1 of 2

The production tradeoffs you ownnot delegated, not optional

Once a workflow is live, you own its quality directly. That means tracing every model call, maintaining the eval set, watching the metrics and debugging model behavior when it drifts. It also means every model call you ship is a live decision on three competing axes.

Axis
Latency
What you trade
Faster responses vs. more reasoning per call
A real FDE call
Use a smaller model for inline edits, reserve the big one for the agent-led refactor loop
Axis
Cost
What you trade
Token spend vs. output quality and retries
A real FDE call
Cache repo context and batch file edits so a 4,000-file refactor doesn't reindex per call
Axis
Quality
What you trade
Accept-rate / correctness vs. speed and spend
A real FDE call
Add a verification pass on generated diffs even though it costs an extra call

You can't max all three. The job is choosing the right point for this customer's workflow.

Watch out

Communicating tradeoffs and not over-promising is part of the engineering job, not a soft extra. Telling a staff engineer "this refactor pass will be 92% correct and here's the verification step that catches the rest" builds more trust than promising 100% and getting caught. Honest bad news with a path forward is the FDE house style.

Say it like this

"I can get inline edits under 300ms, but the full agent-assisted migration runs slower and costs more per file. I'd ship the fast path for daily use and gate the migration behind a verification pass. Here's the cost-per-PR estimate so you can decide the budget."