Introducing DASH.
Every AI agent on one canvas. Give each one a job, watch them work side by side, and see the changes land live.
Free to try on Windows & macOS 👇
@0xinhua which model and effort level? haiku wrote 3.5x to 5x the tokens of the others on the same bug fix for me, so overbuilding varies a lot by model
@stretchcloud green tests aren't the same as the same fix. in a 4 agent bug hunt all passed 1,699 tests but two of them fixed one bug differently than the original
each run: fresh session, its own copy of qs with fresh git history (no diffing to the answer), claude code's default effort (opus runs high by default, the other three medium).
per run: fable 3:04 2:05 2:20 · opus 3:42 2:33 2:42 · sonnet 3:16 3:51 3:01 · haiku 4:35 3:48 4:08
fable was fastest but not the leanest: 3,509 avg output tokens vs opus 3,189.
try it 3 days free: https://t.co/afXChEjyeH
fable 5.2 on medium beat opus 5.5 on high, 3 runs out of 3 (both claude code defaults)
same prompt, 4 claude code agents side by side in dash, 6 bugs i planted in qs. median time to green:
fable 5.2: 2:20
opus 5.5: 2:42
sonnet 5.5: 3:16
haiku 5.5: 4:08
12 of 12 runs fixed all six. haiku wrote 3.5x to 5x the tokens of the others in every run
@rohit3a matches a test i ran today: 6 planted bugs, 3 runs each. median opus 2:42, sonnet 3:16, fable 2:20. opus and sonnet output tokens within 7% of each other