Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.
The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.
This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.
Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.
The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.
The Wayback Machine - https://web.archive.org/web/20250116175751/https://github.blog/changelog/2025-01-13-audit-log-streaming-of-api-requests-is-generally-available/
Audit log streaming of API requests targeting your enterprise’s private assets is now generally available. This feature provides you as enterprise administrators new visibility into the API activity within your enterprise.
Audit logs play a critical role in an enterprise owners’ ability to monitor and secure their enterprise. Many enterprises leverage GitHub’s API ecosystem to automate and operate their enterprise at scale. However, API use can also create unique security and operational challenges that must be managed. To help manage these challenges, API requests targeting your enterprise’s private assets can be included in your enterprise’s audit log streams. Please note that API requests targeting public repositories will be omitted from your enterprise’s audit log stream. This new data will allow you as an enterprise owner to:
Better understand and analyze API usage targeting your private enterprise assets;
Identify and diagnose potentially misconfigured applications or integrations;
Track the authentication tokens being used by specific applications or integrations;
Troubleshoot API requests contributing to API rate limiting;
Analyze API activity when performing forensic investigations; and
Develop API specific anomaly detection algorithms to proactively identify potentially malicious API activity.
An example event payload can be found below:
Note: Sensitive fields have been redacted for security reasons.
To start streaming API requests, you can follow the instructions in our docs for enabling audit log streaming of API requests. Once enabled, you should begin seeing API request events in your audit log stream.
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The latest AI model from Mistral, Codestral 25.01, is now available in GitHub Models.
Codestral 25.01 is explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and can also converse in a variety of languages, it can be used to design advanced AI applications for software developers.
GitHub Models makes it easy for every developer to build AI features and products on GitHub.
Following our opt-in preview last year, we are excited to release sub-issues, issue types and advanced search for issues to everyone! 🎉
Thank you to everyone who opted-in and gave us feedback on these new additions. We will be rolling out these changes incrementally and expect all users to have access by the end of this week.
🔗 Break down and nest issues with sub-issues
Sub-issues allow you to break down and organize issues within a parent-child hierarchy. You can create sub-issues from any issue and use their nested structure to track progress and understand remaining work. You can also easily track sub-issues progress within your projects.
Issues types allow you to classify and manage your issues with a shared and consistent language across all repositories in an organization. You can quickly understand the progress of your bug backlog, find all of the high level initiatives teams are working on, and understand the breakdown of work in a project.
🔍 Find exactly what you’re looking for with advanced search
From the repository issues page, you can build advanced searches using the AND and OR keywords and parentheses for nested searches. This allows you to build more complex filters to find the exact set of issues you’re looking for.
All these new features are based upon an update to the issues front end, designed to be fast and familiar. This means there are no new UI patterns to slow you down, but we did include a few tweaks to speed you up, including:
The issues index page has a new filter bar with autocomplete and syntax highlighting.
Creating multiple issues is faster with a ‘create more’ option to quickly get back to the creation screen.
Issue form and templates are now presented in alphabetical order based on file name, making it easier for you to set just the right order.
Easily share the URL to an issue with a new ‘copy link’ button.
On long issues, selecting ‘load more’ will now fetch 150 events instead of 50.
Head over to your account’s feature preview page to switch between the new and old experiences. Due to the incremental roll out of the new experiences over the course of this week, you may find you only have access to the feature preview toggle once the roll out has completed.
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Wait! Don't Go Yet 🚀
Get our FREE eBook "10 Programming Tips That Changed Everything" when you subscribe!
Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
