GitHub Universe: Open Source Trends Report and New AI Security Products


GitHub Advanced Security gains AI features

GitHub Copilot app on smartphone with AI security on background., and GitHub Copilot now includes a chatbot alternative. GitHub Copilot Enterprise is expected in February 2024. Image: Adobe/sdx15 At the GitHub Universe conference held in San Francisco and essentially on Nov. 8 and Nov. 9, 2023, the company exposed its new open source trends report as well as changes to GitHub Copilot and AI improvements for GitHub Advanced Security.

GitHub Copilot and GitHub Advanced Security are available globally. However, some GitHub services, including Copilot, are subject to U.S. trade controls and are not offered in the sanctioned countries listed here.

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Generative AI is popular amongst open source jobs

Open source generative AI tasks joined GitHub’s list of the top 10 most popular open source tasks by factor count in 2023. In 2022, about 17,000 designers on GitHub dealt with generative AI tasks; in 2023, that number rocketed to around 60,000. AI projects are becoming more traditional, GitHub said.

More companies are most likely to start using pre-trained AI designs in the future as developers end up being more acquainted with them, GitHub predicted.

Git patterns towards cloud-native applications at scale

GitHub found designers are significantly utilizing the Git variation control system for declarative languages using Git-based facilities as code workflows.

The study also found greater standardization in cloud releases and a sharp boost in the rate at which developers were utilizing Dockerfiles and containers, infrastructure-as-code and other cloud-native technologies. Usage of Hashicorp Configuration Language (HCL), which is an indication for operations and infrastructure-as-code work, grew 36% year-over-year.

The variety of brand-new developers on GitHub grew by 26%, with India having the fastest-growing population of developers. GitHub defines a designer as anybody with a non-spam GitHub account.

Commercially-backed open source jobs draw attention

Commercially-backed open source tasks had the biggest number of contributions and the largest variety of first-time factors. The variety of personal jobs grew 38% year over year.

Protecting dependences and branches are popular projects

In regards to security in open source, more developers are turning to automation to secure dependences, and open source maintainers are paying very close attention to safeguarding their branches.

Front-end advancement reveals promise

Front-end advancement is a quickly growing kind of project among open-source developers.

GitHub Copilot Chat and GitHub Copilot Business exposed

At GitHub Universe, the business announced GitHub Copilot Chat (Figure A), which is a generative AI assistant that explains code in natural language, and GitHub Copilot Enterprise. GitHub Copilot Chat will be offered in December 2023 to customers with existing private or organization-wide GitHub Copilot subscriptions.

Figure A

Screenshot of Github Copilot chat explain. GitHub Copilot Chat explains code in natural language. Image: GitHub Copilot Business, tailored for company use, is being available in February 2024 at a cost of $39 USD per user monthly. Compare this to Copilot Organization, which costs $19 per month and is offered now.

Extra AI includes contributed to GitHub Advanced Security

Must-read developer protection

Three more AI-powered features are concerning GitHubAdvanced Security: code scanning autofix, secret scanning for generic secrets and a routine expression generator.

SEE: GitHub isn’t the only version control and cooperation platform. See GitHub alternatives that are growing in 2023. (TechRepublic)

“Developers require the capability to proactively protect their code right where it’s developed,” GitHub VP of item management, Asha Chakrabarty, and director of product marketing at GitHub security laboratory and platform security, Laura Paine, composed in a article.

Code scanning autofix

Code scanning will now propose AI-generated fixes right in the pull request, allowing developers to quickly repair vulnerabilities while they code; this will cause faster removal time. AI-generated repairs can be developed for CodeQL, JavaScript and TypeScript informs. This works by GitHub querying a big language design in the background to find fixes for any new informs, which are then posted as code suggestions within the pull demand.

Autofix is readily available for code scanning within GitHub Advanced Security now.

Secret scanning

Secret scanning with generative AI, which is now in minimal public beta, is created to minimize incorrect positives that frequently appear when looking for possibly active leaked passwords (Figure B).

Figure B

Screenshot of GitHub secret scanning. Secret scanning informs users to a password that may have been exposed. Image: GitHub

Routine expression generator

The routine expression generator enhances designers’ choices when it pertains to secret scanning, letting them develop customized patterns with regular expressions created with a couple of natural-language queries sent to the generative AI. It is created to make writing routine expressions quicker, and makes it possible for designers to carry out dry runs in real time to ensure everything works before conserving the pattern.

Regular expression generation is available now.

More new functions in GitHub Advanced Security

Other new features of GitHub Advanced Security include authoring custom-made patterns with generative AI and a brand-new security summary dashboard. Interested security workers can join a waitlist for these features.


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