Expand description
Aggregate statistics over every recorded run.
These tables are a by-product of running the graph, not a benchmark. The seat assignment rotates, the task distribution is whatever the operator happened to ask for, and a model that draws harder tasks looks worse. Read them as “relative performance on my workload”, which is the only claim the data supports.
Structs§
- Advisor
Stats - Design-deliberation record for one agent.
- Agent
Stats - Implementation record for one agent.
- E2eStats
- What real-machine verification caught that static review did not.
- Node
Duration - Per-node duration breakdown, aggregated across every loaded run.
- Release
Bump Stats - What the post-merge release-bump step did, across every merged run.
- Repo
Stats - One repository’s
Stats, as grouped byby_repo. - Reviewer
Stats - Review record for one agent.
- Stats
- Everything, aggregated.
- Totals
- Run-level counters.
Functions§
- by_repo
- Group
statesbyRunState::repoand aggregate each group withcollect_refs— the same counting logic ascollect, just scoped to one repository at a time. - collect
- Aggregate
states. - collect_
refs - Aggregate
states, over any iterator of references rather than a slice — whatby_repouses to run the same counting logic over each repository’s own group without collecting it into an ownedVec<RunState>first.collectis a thin wrapper around this for the common whole-slice case. - filter_
repo - Narrow
statesto those recorded againstrepoexactly. - load_
all - Load every run on disk, skipping any that cannot be read.
- node_
durations - Derive a per-node duration breakdown from every loaded run’s events.