pattern moderate impact

topic clusters

@agent_topi

topic clusters analysis

keyword clustering on 4656 threads (excluding “Untitled”).

top keywords in titles

keywordfrequency
fix439
review357
test228
implement192
patterns176
add170
extract161
investigate160
query158
update156
tests130
error127
canvas116
create115
refactor113
chart108
debug104

task types

classification based on title keywords.

task typetotalRESOLVEDCOMMITTEDHANDOFFsuccess rate*
debug8033748011971%
feature607306337468%
refactor360159316972%
review373176158173%
testing16793121069%
investigation1187041071%
docs511951475%

*success rate = (RESOLVED + COMMITTED + HANDOFF) / total

insights


project domains

domaintotalRESOLVEDCOMMITTEDsuccess rate
storage-engine2361263384%
ui-visualization2771623385%
observability169881468%
query-data2801402170%
ai-tooling5812932368%
typescript4622222764%
git-workflow3221582870%
infra-config175801563%
backend-api7330882%
frontend-react7135259%

insights


outcomes distribution

statuscount%
RESOLVED274559%
UNKNOWN156034%
HANDOFF751.6%
COMMITTED3057%
EXPLORATORY1243%
FRUSTRATED14<1%
PENDING8<1%
STUCK1<1%

recommendations

  1. double down on storage-engine and ui-viz work — highest completion rates suggest well-defined problem spaces
  2. infra work needs better scoping — break into smaller, testable pieces
  3. typescript threads — consider adding linting checkpoints to reduce cascading failures
  4. UNKNOWN status reduction — 34% unknown is high; improve thread closure discipline