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GitHub Copilot now supports multiple LLMsGitHub is bringing more flexibility and choice to Copilot through the integrati...
02/04/2025

GitHub Copilot now supports multiple LLMs
GitHub is bringing more flexibility and choice to Copilot through the integration of multiple large language models (LLMs).

Since its inception, GitHub Copilot has utilised different LLMs for varied uses. The journey began with the deployment of Codex, an early iteration of OpenAI’s GPT-3, that was fine-tuned specifically for coding tasks. The evolution continued with the launch of Copilot Chat in 2023, initially using GPT-3.5 and subsequently transitioning to GPT-4. As demands evolved, GitHub adapted, employing models from GPT 3.5-turbo to the more recent GPT 4o and 4o-mini, catering to needs for both latency and quality.

“The past year has witnessed a surge in high-quality small and large language models, each excelling in different programming tasks,” stated Thomas Dohme, CEO of GitHub. “It’s clear that the future of AI code generation will be defined not only by multi-model functionality but also by multi-model choice.”

EMERALDWHALE exploits vulnerable Git configuration filesSysdig’s Threat Research Team (TRT) has uncovered a global opera...
02/04/2025

EMERALDWHALE exploits vulnerable Git configuration files
Sysdig’s Threat Research Team (TRT) has uncovered a global operation known as EMERALDWHALE, which has stolen over 15,000 cloud service credentials by exploiting exposed Git configuration files.

EMERALDWHALE utilised multiple private tools to exploit several misconfigured web services, resulting in the theft of credentials from more than 10,000 private repositories.

Though the operation’s primary targets appeared to be cloud service and email providers, the ultimate aim was believed to be phishing and spam activities. The credentials amassed could fetch hundreds of dollars per account, with additional profits expected from selling target lists on various online marketplaces.

The discovery of this campaign accentuates a key security vulnerability in the digital landscape: secret management, whilst crucial, is insufficient on its own. There are myriad ways through which credentials can be inadvertently exposed.

Michel Isnard, GitLab: Transforming software development with AIThe implementation of AI technologies, particularly gene...
02/04/2025

Michel Isnard, GitLab: Transforming software development with AI
The implementation of AI technologies, particularly generative AI, offers a promising avenue for developers looking to supercharge their processes. According to a recent GitLab survey, many UK businesses are accelerating their software release cycles—yet only a third have integrated AI into their processes.

However, alongside the opportunities, organisations face challenges in scaling AI and effectively measuring its impact on productivity.

Developer: In your view, what are executives focusing on when it comes to maximising the impact and output of AI implementation in their businesses?

Michel Isnard: Executives are laser-focused on how generative AI can impact employee output. As head of EMEA for a DevSecOps software company, I spend a lot of time listening to and sharing with customers about AI’s impact on software development.

For UK organisations, the boost AI promises for developer output and productivity could not come at a better time. According to a recent GitLab survey, 65% of UK businesses are releasing software at least twice as fast as last year, but just 31% of UK businesses are using AI for software development. AI could supercharge their software development process.

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