The Copilot reviews as I had recently found out were paid for by our
Astronomer's GitHub enterprise (for me and other folks at Astronomer from
our quota).

And with them moving to Usage-based model (which was bound to happen), it
will get expensive.

Although, I think it is still valuable for mass-reviewing on the server
side since this happens on CI and is a complete opt-in by the reviewer and
there are no doubts.

As I showed in the last dev call, I have my hand crafted review skill that
I use for detailed reviews from my laptop and that has been vetted by me
before posting. So I am fully responsible for all the good and bad (false
positive or hallucinations) things it catches since I approve it. And have
been using this skill for a good quarter or half a year (time flies).

And that is why I do not feel it is either / OR -- meaning it was never
Copilot review vs local review for me since I used both based on the
purpose. For reviewing 200 PRs as last time, I used Copilot since a review
is helpful than no review, and PR getting marked stale and I have seen
folks self-assign copilot review on their PRs -- for those who have access
to it. I have done the same to have multiple layers (even though my local
review skill already does multi-modal reviews).

And my philosophy around Review and a lot of workflow skills have been:
What I look for in a PR isn't necessarily what someone else would look for.
Or what is important to me, might be nit for someone. So while as a project
we should have standards which go in AGENTS.md/Claude.md and or a
high-level review skill that is checked-in the project, the "what I look
for" will remain on my machine and is geared towards my preference, testing
etc. Time and again I'd use reviews from Ash and others to tune it -- like
I would do even without AI. As an example Ash would have caught something
in my PR or someone else's PR that I wouldn't have realized, and like a
human I'd learn for next time, so are my skills. But that is sort of my new
workflow adapting.

re: fully automated Copilot reviews may discourage contributors who expect
human interaction

At least to me, there is no difference between that and a review from a
human which completely sounds AI/robotic anyway since a human can just run
a skill and post the response as well --- from a purely PR author reception
point of view. It is just coming from a different account, and the latter
feels even worse as it is coming from a human account. But at the end of
the day, that is still a personal preference. A review (from copilot, from
human that sounds like AI, a pure human review) that catches a bug is still
better than no review, PR going stale and being closed.

Long story short: I do not think they are mutually exclusive -- or never
were mutually exclusive :)

------

- https://github.com/apache/airflow/pull/63775#discussion_r3025383633 --
Copilot caught a Databricks provider importing airflow.utils.timezone
directly (which relies on Airflow's runtime deprecation redirect and
silences typing) and suggested switching to
airflow.providers.common.compat.sdk. That is our documented Airflow 2 /
Airflow 3 cross-version pattern for providers. Copilot only knows this
because we wrote it down.
- https://github.com/apache/airflow/pull/62343#discussion_r3025380683 --
same cross-version import pattern, different provider. Author accepted the
suggestion.
- https://github.com/apache/airflow/pull/64568#discussion_r3025333917 --
Copilot flagged a fix for failure-callback context["exception"] handling
and asked for a regression test specifically against the
InProcessTestSupervisor / dag.test() path. That is the correct execution
path for that change, not a generic "please add a test" remark.
- https://github.com/apache/airflow/pull/64576#pullrequestreview-4047787083 --
Copilot reviewed a fix I authored for xcom_pull() ignoring default when
map_indexes was not set, and raised a header-precedence
question I had not thought about.
- https://github.com/apache/airflow/pull/61878#pullrequestreview-3851732779 --
Dennis surfaced this one on the dev list as a real review he found useful
on a provider PR. He's at a
different company, so worth flagging as an independent signal.

On Tue, 28 Apr 2026 at 11:02, Jarek Potiuk <[email protected]> wrote:

> Hi Kaxil and team,
>
> I’d like to discuss our strategy for "copilot reviews" versus SKILL based
> assisted triage and maintainer review experiences.
>
> My recent experiments with skill-based auto-triage show a downward trend in
> stale pull requests by filtering out "drive-by" contributions, allowing
> maintainers to focus on high-impact work (more stats and trends soon).
> Unlike 3rd-party tools, this approach is agent-agnostic, easily fine-tuned
> via English prompts, and potentially reusable across other ASF projects.
>
> Regarding transparency, I’ve proposed specific attribution formats [1] to
> distinguish between purely automated comments and those reviewed by humans.
> This aligns with ongoing [email protected] conversations [2] about
> using "Assisted By" instead of "Generated-by" to maintain accountability
> and contributor motivation.
>
> I have concerns that fully automated Copilot reviews may discourage
> contributors who expect human interaction. My experimental
> /maintainer-review skill [3] allows maintainers to drive the process by
> reviewing AI-generated comments before posting. This reduces "token
> ping-pong," integrates with the CODEOWNERS discussion [4], and ensures we
> only spend tokens on relevant, triaged PRs. And keep maintainers ultimately
> responsible for comments they accept to send.
>
> With Copilot moving to usage-based billing on June 1 [5], using personal or
> open-source credits via the skill-based approach introduces some change
> (but I am still unclear what it means to the billing - who pays for the
> tokens).
>
> Conversely, for skill-based processes, it's entirely in the hands (and
> pocket) of those who run the skill locally. We are also working with ASF
> and Alpha-Omega to secure long-term resources for maintainers for that.
>
> I would love to hear your thoughts about it - especially Kaxil's
> experiences regarding the Copilot review experiment - my observations might
> be incomplete and biased :).
>
> J.
>
> [1] https://github.com/apache/airflow/pull/65965 - comment attribution
> [2] https://lists.apache.org/thread/qbdkky8ls6zybyy9o3pvqnpf68r089qp -
> legal discussion thread on attributions
> [3] https://github.com/apache/airflow/pull/65981 - /maintainer-review
> skill
> [4] https://lists.apache.org/thread/5ssp4ksyohdzclxqvj7ngz0hz5wy9j68 -
> CODEOWNERS discussion
> [5]
>
> https://github.blog/news-insights/company-news/github-copilot-is-moving-to-usage-based-billing/
> - change in billing for Copilot
>
> Best,
> Jarek Potiuk
>

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