[1] https://www.theverge.com/tech/865689/microsoft-claude-code-a...
> During this time, workflows experienced an average delay of 49 seconds, and 4.7% of workflow runs failed to start within 5 minutes.
That's for sure not perfect, but there was also a 95% chance that if you have re-run the job, it will run and not fail to start. Another one is about notificatiosn being late. I'm sure all others do have similar issues people notice, but nobody writes about them. So a simple "to many incidents" does bot make the stats bad - only an unstable service the service.
Computers can produce spreadsheets even better and they can warm the air around you even faster.
* writing endless reports and executive summaries
* pretending to know things that they don't
* not complaining if you present their ideas as yours
* sycophancy and fawning behavior towards superiors
<mermaid>
flowchart TD
A["Claim: Bridge opening is conditional"] --> B["Actor: Donald Trump"]
A --> C["Project: Gordie Howe International Bridge"]
A --> D["Condition: Canadian concessions required"]
B --> E["Public statement"]
C --> F["Status: not opening (per claim)"]
D --> G["Type: policy/trade concessions"]
E --> H["Outcome framing"]
F --> H
G --> H
H["Message: No opening unless concessions are granted"]
</mermaid>
https://oj-hn.com <mermaid>
flowchart TD
A["Claim: Bridge opening is conditional"] --> B["Actor: Donald Trump"]
A --> C["Project: Gordie Howe International Bridge"]
A --> D["Condition: Canadian concessions required"]
B --> E["Public statement"]
C --> F["Status: not opening (per claim)"]
D --> G["Type: policy/trade concessions"]
E --> H["Outcome framing"]
F --> H
G --> H
H["Message: No opening unless concessions are granted"]
</mermaid>The inertia is not permanent.
GitHub is under Microsoft’s CoreAI division, so that’s a pretty sure bet.
https://www.geekwire.com/2025/github-will-join-microsofts-co...
> Let's make a timeline chart of https://www.githubstatus.com/history for the past 1yr and upload it as a gist
yields [GitHub Status Incident Timeline — Feb 2025 to Feb 2026](https://htmlpreview.github.io/?https://gist.githubuserconten...)
219 total incidents across 12 full months, averaging 18.3/month. January 2026 was the worst month, and August 2025 was the calmest.