# A very crowded Tuesday: technical notes

Measured October 14, 2026, for Git commits dated October 13 in America/Chicago. These notes support [the essay](https://midnightdev.dev/writing/a-very-crowded-tuesday). They describe what the local Git and GitHub evidence shows, and where it stops.

## Method

I enumerated Git checkouts at depth four under my local `projects` and `dev` directories and included my versioned agent configuration checkout. I read commits reachable from all local refs, selected those whose **committer timestamp** falls on October 13 in America/Chicago, selected four known author email identities used by me or my agents, and deduplicated by full commit SHA. The scan is read-only.

The method counts branch commits, merge commits, documentation, tests, generated changes, and commits later visible in more than one worktree. It does not equate a commit with a feature, release, deployment, human work hour, or independent agent contribution. It may miss commits that exist only on GitHub or in a directory outside the scan. A later fetch can change which commits are reachable from local refs; these are snapshot figures, not a permanent global total.

## The count

| Measure | Result |
| --- | ---: |
| Local Git checkouts scanned | 193 |
| Distinct commits by the selected identities | 520 |
| Repository identities represented | 39 |
| Commits attributed to Alex's two Git email identities | 501 |
| Commits bearing explicit agent email identities | 19 |
| Merge commits, identified by subjects beginning `Merge ` | 29 |
| Commits with multiple parents (Git merge topology) | 31 |
| Commits also authored on October 13 in Chicago time | 516 |
| Commits touching a path containing `test` or `spec` | 102 |
| Commits touching `.github/workflows/` | 53 |
| Commits changing only Markdown or text paths | 150 |

The last three rows classify filenames. They overlap and say nothing by themselves about whether a test passed or whether documentation was accurate. The 19 explicit agent identities are **not** a measure of all agent work: an agent can commit using Alex's configured Git identity, and a commit's author field does not identify who formed the idea or verified the result.

## What the checks showed

GitHub metadata was available for 38 of the represented repositories; one local repository had no GitHub origin in this scan. Twenty-six of those 38 were private. I queried Actions workflow runs created on October 13 in Chicago time and matched each run's head SHA to the 520-commit inventory.

| Workflow runs tied to counted commits | Result |
| --- | ---: |
| Runs matched by head SHA | 375 |
| Distinct counted SHAs with a matching run | 207 |
| Successful runs | 305 |
| Failed runs | 46 |
| Cancelled runs | 21 |
| Runs requiring action | 3 |

These are **workflow runs**, not a commit pass rate. One commit can trigger several workflows; a failed run can be followed by a fix on another SHA; and many counted commits had no same-day matching Actions run. The query excludes runs created outside that calendar day. It does not cover local tests, Vercel checks, App Store review, or production monitoring.

The failure logs include three useful classes of stop:

1. A search measurement test expected `indexed` but received `unknown` or `not_indexed`. The suite failed; subsequent test and implementation commits passed CI.
2. A clean install rejected a dependency lockfile missing platform packages. The next branch revisions regenerated the lockfile and later checks passed.
3. A review gate rejected a review as stale after code changed. New review records and later runs went green. This shows a stop working; it does not independently establish the reviewer's identity or the quality of that review.

The source records for these examples are in private repositories. I have kept their names, commit URLs, logs, and the raw per-commit inventory out of this public attachment. The public claim is narrower than “nothing broke”: the inspected CI record contains failures, visible corrections, and successful later runs. It does not prove the absence of a production incident.

## How to read the story

The 520 commits are evidence of high Git throughput across many lanes. The failed checks show that the harness sometimes stopped incorrect work. The later green runs show that some of those stops were resolved. None of these observations alone measures customer value, release quality, or causally proves that agents created the throughput. The human account in the essay describes how the system was operated; this note records what the technical evidence supports.