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GitHub Enhances Copilot with Multi-Model Support and Unveils GitHub Spark AI Tool!

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GitHub has announced a significant upgrade to its AI coding assistant, GitHub Copilot, during the GitHub Universe 2024 event in San Francisco. This update introduces multi-model support, allowing developers to select from various AI models developed by Anthropic, Google, and OpenAI, providing greater flexibility in coding projects. Alongside this enhancement, GitHub also launched a new AI tool called GitHub Spark.

Enhanced Capabilities for GitHub Copilot

Since its launch in 2021, GitHub Copilot has revolutionized coding assistance, enabling developers to utilize AI for writing code, debugging, and enhancing security. With this latest update, users of the AI assistant in Visual Studio Code and on the official website can choose from several advanced AI models, including:

  • Anthropic’s Claude 3.5 Sonnet
  • Google’s Gemini 1.5 Pro
  • OpenAI’s GPT-4o, o1-preview, and o1-mini

Currently, Claude 3.5 Sonnet is available, with Gemini 1.5 Pro expected to be added shortly.

Developers will have the option to switch between models during their interactions with Copilot Chat, allowing them to determine which model best suits their needs. Additionally, users can select a preferred AI model at the start of their project, streamlining their workflow from the outset.

Benefits of Multi-Model Support

This multi-model approach enables developers to leverage the strengths of different AI models tailored for specific tasks. For instance:

  • Claude 3.5 Sonnet excels at complex coding tasks across the software development lifecycle.
  • Gemini 1.5 Pro features a two-million-token context window and is natively multi-modal, capable of processing code, images, audio, video, and text simultaneously.
  • OpenAI’s models provide advanced reasoning capabilities that enhance code understanding and efficiency.

Introduction of GitHub Spark

In addition to the Copilot upgrades, GitHub introduced GitHub Spark, an AI-native tool designed for developers of all skill levels. This feature allows users to generate “micro apps,” referred to as “sparks,” which can incorporate AI capabilities and external data sources into larger applications without heavy reliance on cloud servers.

How GitHub Spark Works

Creating a micro app with GitHub Spark is straightforward; developers simply need to input a natural language prompt outlining their requirements. They will then receive a preview of the app. Users can either modify the app code directly or issue follow-up prompts for the AI to make adjustments. GitHub Spark supports both Anthropic and OpenAI models.

Once a spark is generated, it can be run seamlessly on desktops, tablets, or smartphones. Users have the option to share their creations with others, either with customized access controls or full permissions for others to remix or build upon the spark.

Reinforcing Developer Productivity

With these updates, GitHub is reinforcing its commitment to enhancing developer productivity and fostering innovation in software development. The introduction of multi-model support and GitHub Spark aligns with GitHub’s vision of reaching one billion developers by providing tools that cater to diverse coding needs and preferences.

Future Developments

GitHub hinted that more features are planned for both Copilot and Spark in future updates, further expanding their capabilities and enhancing user experience. This commitment to innovation positions GitHub as a leader in integrating AI into the software development process.

Conclusion

The enhancements to GitHub Copilot and the introduction of GitHub Spark represent significant strides in making coding more accessible and efficient for developers. By offering multi-model support and facilitating the creation of micro apps through natural language prompts, GitHub is not only improving its existing tools but also paving the way for future innovations in software development.

As these features roll out, it will be interesting to see how they impact developer workflows and whether they lead to increased adoption of AI-driven solutions within the coding community.

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Setu Builds Fintech Powerhouse Leadership Team as Pine Labs IPO Nears

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Pine Labs

Setu, the API infrastructure platform and subsidiary of Pine Labs, has significantly strengthened its leadership by appointing Prashanth Nimmagada (ex-Razorpay) as Chief Technology Officer, signaling its commitment to innovation in India’s dynamic fintech landscape. Alongside Nimmagada, Setu has welcomed other top industry talent: Vijeth Pandit (ex-Razorpay) as Chief Product Officer, Ramkumar Thirumurthi (ex-Razorpay, co-founder Actyv.ai) as Chief Revenue Officer, Nikhil Ratanpal (ex-PhonePe) as Director of Product Development, and Santosh Subramanian (ex-Yes Bank, Wibmo) as Head of Finance. These high-profile hires accompany Anand Raisinghani’s (ex-SAP India) appointment as CEO, underscoring Setu’s focus on building a strong, experienced leadership bench to drive future growth.

Setu specializes in providing API-based digital financial infrastructure for services such as UPI, bill payments, KYC, and digital signatures, while also operating as an RBI-licensed NBFC Account Aggregator. With this expanded leadership team—drawn from India’s leading fintechs—Setu is well-positioned to accelerate the development of scalable, API-driven financial solutions for banks, fintechs, and enterprises. The influx of expertise from Razorpay and PhonePe veterans will bolster Setu’s technical capabilities and strategic partnerships, ensuring it remains a key enabler in India’s rapidly maturing digital public infrastructure ecosystem.

This leadership overhaul comes as parent company Pine Labs prepares for a major IPO, aiming to raise ₹2,600 crore through a fresh share issue after turning profitable in FY25. Setu’s enhanced leadership reinforces the broader group’s ambitions for international expansion, technological innovation, and financial performance. As Setu solidifies its role at the forefront of India’s fintech evolution, the company is poised to deliver advanced financial infrastructure solutions that support the country’s growing digital economy and drive Pine Labs’ strategic momentum.

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Sundar Pichai Reaches Billionaire Milestone as Alphabet CEO

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Sundar Pichai, the visionary CEO of Alphabet Inc., has officially entered the ranks of global billionaires, accomplishing this rare feat after a decade at the helm of one of the world’s most influential tech giants. Pichai’s net worth hit $1.1 billion—according to the Bloomberg Billionaires Index—fueled by Alphabet’s incredible market performance and the company’s growth of more than $1 trillion in value since early 2023. Achieving billionaire status without being a founding member sets Pichai apart, highlighting his significant impact among non-founder tech leaders.

Born in Tamil Nadu, India, Pichai’s success story is rooted in humble beginnings. He spent his childhood in a modest two-room apartment, only gaining access to a telephone at age 12. A scholarship took him to Stanford University in 1993, with his family making great sacrifices for his education. After joining Google in 2004, Pichai played a pivotal role in the development of Chrome and rose steadily, ultimately becoming CEO in 2015. His leadership through Alphabet’s restructuring and his stewardship over high-growth areas like YouTube, Google Cloud, and Google Play have been critical to the company’s success.

During his tenure, Pichai has championed aggressive investments in artificial intelligence and cloud infrastructure, positioning Alphabet at the forefront of technological innovation. While his annual salary sits at $2 million, the majority of his fortune stems from stock awards and financial incentives tied to performance. Pichai’s journey exemplifies the rise from modest beginnings to extraordinary success, serving as an inspiration and proving that transformative leadership and strategic vision can redefine what’s possible—even without a founder’s equity stake.

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IIT Hyderabad Unveils Palyanka, Heavy-Lift Drone for Air Ambulance Use

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Hyderabad - Drone

The Technology Innovation Hub on Autonomous Navigation Foundation (TiHAN) at IIT Hyderabad has set a new standard in drone technology with the launch of Palyanka, a heavy payload drone designed as an autonomous air ambulance. Capable of carrying up to 200 kg, Palyanka is engineered to swiftly transport patients, medical equipment, or critical cargo across challenging terrains, bypassing traditional barriers like road congestion and remote inaccessibility. This advanced UAV operates autonomously, making it highly effective for rapid response in both urban and rural emergencies, and stands at the forefront of disaster relief operations in scenarios such as floods and fires.

Built for versatility, Palyanka doesn’t just function as an air ambulance. Its robust design enables use in rescue missions, cargo deliveries, and even as an air taxi for metropolitan connectivity. Inspired by the Sanskrit word for palanquin, the name “Palyanka” reflects the drone’s role as a safe and efficient carrier. All components, from conceptual design to IP, have been developed in-house at IIT Hyderabad, ensuring the drone meets stringent standards for durability and performance under extreme conditions.

With a development journey spanning over five years and led by Prof. P. Rajalakshmi, TiHAN’s team has transitioned from early drone prototypes to a full-scale, high-capacity solution like Palyanka. The team is now preparing pilot projects in hilly terrains and working on further enhancing the drone’s endurance with innovative heat-resistant materials. By pioneering such indigenous solutions, IIT Hyderabad’s TiHAN is transforming emergency medical services and logistics, marking a pivotal advancement in India’s urban mobility and public safety landscape.

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