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Post AI PR summary when review is requested
When a PR is ready for review, summarize the diff with OpenAI and comment on the pull request.
When GitHub: Pull request opened happens, do GitHub: Comment on issue.
When this happens in one app, do this in the other. Try it on Hub to connect both apps and run the pair.
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When a PR is ready for review, summarize the diff with OpenAI and comment on the pull request.
After the model returns a summary, post it as a GitHub comment for reviewers.
When a release is published, list commits since the last tag and ask OpenAI for customer-facing notes.
When a new review comment arrives, fetch the PR and generate a concise reply suggestion.
When a check run fails, pull recent commits and ask OpenAI for a short failure explanation.
On release publish, queue a batch job to summarize all merged PR titles for the changelog.
Use Corsair's MCP with your agent
The agent searches both apps before it answers.
What should we tell customers in the 2.8 release notes?
AI platform API for GPT chat completions, embeddings, images, and assistant workflows.
Code hosting platform for repositories, issues, pull requests, and developer workflows.
Yes. Corsair is built with a REST API. This means you can build agents, knowledge bases, interfaces, and workflows.
Yes. Connect both apps once, then generate PR summaries, release notes, and CI explanations from GitHub events and post results back as comments.
Summarize pull requests for reviewers, draft customer release notes, suggest replies to review comments, explain failed checks, and batch-process weekly changelogs.
Yes. GitHub pull request, review, check run, and release webhooks drive workflows; OpenAI is invoked through typed API actions when those events fire.