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pull requests
Trends
- 1GitHub resolves incident affecting Git operations and Actions●Incident with Git Operations, Pull Requests and Actions – Resolved
GitHub reports it has resolved an incident that affected Git operations, pull requests and Actions. The status page confirms services are back to normal, and users are discussing the outage and its impact on workflows.
- 2EU pulls sponsorship of disinformation conference after Trump officials object▼EU drops sponsorship of disinformation conference at Trump officials’ request
The European Union has withdrawn its sponsorship of a major disinformation conference after requests from officials in Donald Trump's administration. Lithuania and Canada were also pressured to pull out, and shortly before the #Disinfo2026 event, sponsors' logos were removed from the conference website. Critics see the move as a concession to Washington that undermines the EU's own fight against disinformation.
- 3GitHub adds new repository settings for pull request access●New repository settings for configuring pull request access
GitHub has introduced new repository settings that let maintainers configure who can open or access pull requests on their repositories. The update, announced on the GitHub changelog, gives project owners finer-grained control over contribution permissions. Developers on Hacker News are discussing the change, weighing its usefulness for open source projects against concerns about restricting outside contributions.
- 4AI-written patches raise accountability questions in open source●A free coding bench can draft a patch in minutes. That speed does not sign the merge decision. A named captain still own
A free coding bench can draft a patch in minutes, but that speed does not sign the merge decision: a named maintainer still owns every diff that lands. Observers warn that contribution metrics reward visible pull requests over careful ownership, so shared repositories risk filling with polished diffs that arrive with thin context and little accountability behind them.
- 5Every AI rollout comes with a productivity dashboard●Every AI rollout comes with a dashboard. PRs merged per week, time from ticket to prototype, model accuracy on the eval
Software developers are pushing back on the metrics companies use to judge AI-assisted engineering. Pull requests merged, ticket-to-prototype time and model accuracy all rise in the first quarter after an AI rollout, but critics argue these numbers only measure how fast new code is produced, not whether it is correct, maintainable or actually solving user problems, inviting a short-term velocity bias.
Repos
- egma-ai/jev-code-reviewer Review behavior, not just diffs. Jev prioritizes human attention; OpenAI explains the changes. Local CLI + agent skill +