January went 130-for-130 and I joked that nobody was arguing. February kept the pace at 180 pull requests and then did something more interesting: half of them went into a single repo, because data-curated decided February was its month. The little data archive I keep grew a pipeline, a version 1.0, and its first robot.

By the Numbers

Metric Count
Pull requests opened 180
… merged 175
… still open 0
… closed without merging 5
Issues opened (per my GitHub profile) 11
Commits (per my GitHub profile) 189
PR reviews given (per my GitHub profile) 54
Repos touched 11
Releases published 4
Bot-filed data updates 1

Ninety of those 180 PRs landed in data-curated, 51 more in gh-observer, and 20 here on the blog. That concentration is what a “focus month” looks like in my world — two projects absorbing nearly everything. Note the reviews-given number waking up from January’s zero: 54, because the interactive Copilot workflow from January’s notable PRs started earning its keep. Also note that final row. There’s exactly one bot-filed data update in February, and there’s a story behind it.

Elsewhere

One small upstream PR: DNSControl docs — fixing provider links that had underscores before PR 3909 renamed everything, a direct bit of housekeeping left over from January’s DigitalOcean provider work. Merged, of course. After January’s five upstream merges, this one felt less like a debut and more like a standing appointment, which is exactly how open source is supposed to work.

Releases Shipped

data-curated v0.8, v0.9, and v1.0

Three releases in eight days — v0.8 on February 13, v0.9 on the 17th, and v1.0 on the 21st. The v1.0 changelog tells the automation story all by itself: unique branch names for multiple runs in one day, repo-compliant PR titles generated by the update job itself. That’s the changelog of software that has learned to run without adult supervision.

chicks-home v42.1 rounds out the month — version 42-point-anything being, of course, the correct version number.

Notable Pull Requests

data-curated #134: automate the daily update

115 lines that changed the shape of every month after it. This PR wired the daily GitHub-data update to run and file its own pull request, and on February 17 the robot filed its first one — tagged “manual run,” the way proud parents caption first steps. By fall the dailies would be filing thirty-some PRs a month without a human touching them. The “bot-filed data updates” row in these tables starts here.

data-curated #101: smarter fetch-commits

281 additions teaching the commit fetcher to walk further back in history before hitting GitHub’s API limits — the five-comment thread most-discussed of the month, including an actual back-and-forth about pagination strategy. Every data pipeline eventually meets its rate limit; this one met it and kept going.

data-curated #96: YouTube videos become blog posts

333 additions generating blog-post drafts straight from YouTube video data — because if the video has already been made, the metadata might as well write the post. Between this and the daily update robot, February is the month my data repo started doing my writing homework.

www-chicks-net #282: Backing into Parking Spaces

1,182 additions and 543 deletions — the month’s biggest blog PR by a country mile — for the parking post, my deeply researched defense of backing into parking spaces. Yes, there are citations. No, I will not be taking questions.

Quietly, underneath all that, gh-observer had a 51-PR feature sprint that didn’t ship a release all month: switching to GraphQL so it could show workflow names, error logs for failed jobs, time-since-push in the header, and a DRY refactor of the view code. That groundwork is where March’s v3.x releases came from. Patience, then payoff.

Embedded Metadata

These are times where it seems good to be explicit about our choices about and usage of AI (Artificial Intelligence). Plus any links to cross-posts I do.

  • This post was drafted by GLM-5.3 in OpenCode using the gh-recap skill; the numbers came straight from GitHub’s API via the gh CLI on 2026-10-30. The review-cycle counts come from the actual PR comment threads, robots and all.
  • The PR carrying this series was code-reviewed in CI by Claude Code — robots reviewing robots, which felt thematically correct.
  • The draft was reviewed and edited by me before publishing. The opinions, jokes, and any errors are mine.