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session length: the data

shorter sessions are more efficient. here's the data.

the numbers

session length n tools/min (wall) tools/min (active) compaction rate avg cost
<10 min 121 6.4 6.5 0% $1.96
10-30 min 77 2.7 3.4 10% $5.59
30-60 min 57 2.0 3.7 32% $10.92
1-2 hr 43 1.6 3.3 51% $16.74
2 hr+ 101 0.73 3.4 54% $27.72

what this means

active tool rate is flat at ~3.4/min. claude doesn't slow down in long sessions. the wall-time rate drops 8.8x bc you slow down. longer review gaps, context switching, decision fatigue.

compaction is the cliff. 0% of <10 min sessions need compaction. 54% of 2hr+ sessions do. each compaction loses context. after 2 compactions, you're fighting drift.

the sweet spot is 10-30 min. high throughput, low compaction, $5.59 avg cost. you stay focused, claude stays in context.

what to do

  1. scope before you start. "implement the auth module" is a 2hr session. "add the JWT validation middleware" is 15 min.
  2. commit often. the data shows 1 commit every 3.4 active minutes. small commits = easy rollback if a session goes wrong.
  3. split at natural boundaries. when you finish a subtask, start a new session. don't let context bloat.
  4. if you're past 1 hour, stop and assess. 51% of 1-2hr sessions needed compaction. either split the work or accept the context cost.

try it

run /mine to check your own session length distribution. if most of your sessions are 2hr+, you're probably working harder than you need to.

full cost analysis →