Fleet Statistics Build

This sprint carried the base output shape: a bare `gantry stats` command, aggregate JSON, run rows, and session rows over synthetic Gantry data. The brief gave the agent a complete data contract, including versioned payloads, absent data semantics, sample-count support, and the shared run-row fields future surfaces would need. Because it restored a known foundation instead of inventing the whole product, the agent could focus on integrating the recovered model with current dispatch. Its gate remained green, so later boundary and fixture work could build on the same command.

This sprint converted the plan's trust promise into a mechanical contract. Its task was narrow but load-bearing: prove the stats path launches no processes, mutates no discovered run directories, reads no private harness stores, and writes only cache data or stdout. That boundary work was sequenced immediately after the command existed, before correctness repairs could add tempting shortcuts. The unit stayed green, which meant the later corpus work inherited a tested artifact boundary.

This sprint made the recovered base provable without the private corpus. The brief scoped the agent to synthetic fleets that covered build and map shapes, missing journals, sidecars, failed or partial runs, corrupt data, cache behavior, deterministic ordering, and absent data rendering. That was a good memoryless cut because the private-corpus truth was deliberately out of scope. Its green result left later agents with a fixture suite that could reject regressions in the base fold.

This sprint closed the foundation milestone by making the contract durable for future workers. It was asked to document what the command does, what it refuses to do, where it discovers runs, how cache and thresholds work, and which artifact names are contract names. The cut was intentionally documentation-heavy after code and fixtures had landed, so the agent did not need to settle behavior while writing public reference text. It completed cleanly and gave the next milestone a written boundary to cite.

This sprint introduced the opt-in comparison path without making private data part of normal operation. Its brief asked for stable alignment, deterministic field differences, native-only and corpus-only rows, and graceful failure for missing or malformed explicit inputs. That kept the unit focused on comparison vocabulary rather than on repairing every mismatch it would reveal. The green boundary let later sprints use the report as an instrument.

This sprint used the new comparison path to isolate a known Codex usage mismatch. The brief kept the repair inside Gantry-owned sidecars and explicitly forbade reaching into harness transcripts or private session stores. That made the agent's job a reader and normalization repair, not a data-recovery project. It passed cleanly and strengthened the sidecar metrics contract for later aggregate work.

This sprint accounted for why native discovery and the curated corpus did not name the same run set. The brief gave a closed classification problem: project identity, plan identity, lifecycle, eligibility, driver kind, run shape, timestamps, and replayability. That was a bounded cut because it asked for explicit labels on unmatched rows before broader metric repair. The unit stayed green and turned vague count drift into row-level evidence.

This sprint moved from row alignment into the values users would actually read. Its brief covered durations, tokens, costs, context, harness and role attribution, session counts, unit outcomes, commits, review data, repairs, replans, retries, and recoveries. Because earlier sprints had already settled identity, this agent could treat each mismatch as either a native bug or an artifact-boundary fact. The work passed with no recorded repair loop.

This sprint turned the reconciliation pass into a checked-in handoff. The brief required a report with no pending differences, every mismatch classified as repaired or explained, and enough fixture coverage to keep normal users independent of the private corpus. It was placed before presentation work so the dashboard would not polish ungrounded numbers. The unit completed green and gave later sprints a written correctness baseline.

This sprint was added after the first comparison contract was found to be comparing against fixture-shaped rows rather than the real corpus schema. The brief narrowed the repair to field names, absent-by-design reporting, and corpus-shaped synthetic fixtures. That cut was important because it treated the test harness itself as suspect. It passed cleanly and made the reconciliation gate capable of catching schema drift.

This sprint repaired the session side of the comparison after the digest recorded that no session rows could align. The agent was asked to derive a session identity both native stats and the corpus could produce, while preserving several sessions from the same stage as distinct rows. The boundary was tight: no harness-private reads and no collapse of real repeated sessions. The unit stayed green and converted session reconciliation from nominal coverage into actual comparison.

This sprint handled the native defects that remained after identity alignment: harness session counts, session-count absence, and active duration. The brief made the distinction between repair and boundary explanation explicit, especially where older runs lacked sidecar evidence. That gave the agent a concrete set of measurements to fix without reopening the whole fold. The green result removed the most visible native-side disagreements before the dashboard sprint began.

This sprint closed the reconciliation milestone by fixing overconfident unmatched-row labels. The brief separated removed archived sources from true discovery candidates and required consistent project identity for nested or vendored Rust projects. It also recorded a private collector defect as an external requirement rather than trying to repair another repository. The unit passed and left the report's final classifications more precise.

This sprint completed the human-facing dashboard on top of the reconciled aggregate payload. The brief listed the closed dashboard sections and required plain-text behavior, terminal-width adaptation, small-sample markers, and absent-value rendering. That made the agent's scope presentation-only: render the model, do not compute a second set of statistics. Its clean pass meant the next sprint could pin the machine surface without revisiting printed layout.

This sprint pinned the machine-readable surface after the dashboard had proven the aggregate model. The brief required aggregate JSON, JSONL run rows, JSONL session rows, schema versions, validation for incompatible row flags, uniform filters, deterministic output, and a settled export decision. That cut kept tooling behavior separate from documentation work. It passed without recorded repair and left a stable contract for downstream consumers.

This sprint aligned public references with the final implementation. It was asked to cover discovery, artifact boundaries, metric definitions, payload contracts, filters, boundary tests, omitted surfaces, configuration, status, CLI docs, and the README. Because code and tests were already in place, this was a documentation verification cut rather than an implementation sprint. It passed cleanly and closed the run's public handoff.