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GitHub Enhances Copilot with Multi-Model Support and Unveils GitHub Spark AI Tool!
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.
Home services startup Pronto is in advanced talks to raise about $25 million at a near-$100 million valuation, underscoring strong investor confidence in India’s fast-growing 10-minute home services market. This potential round would be the company’s third major funding milestone after its $2 million seed and $11 million Series A in 2025, backed by marquee investors such as General Catalyst, Glade Brook Capital, Bain Capital and new participant Epiq Capital. The fresh capital is expected to further strengthen Pronto’s positioning as a leading tech-led household help platform for urban consumers.
Pronto operates a 10-minute on-demand home-services platform that connects users with trained, background-verified workers for everyday tasks like sweeping, mopping, utensil cleaning, laundry and basic cooking. Using a hub-and-spoke, shift-based model, the startup stations workers at hyperlocal hubs, enabling sub-10-minute fulfilment and more predictable earnings compared to the informal domestic-help market. Founded in 2024 by Anjali Sardana and based in Delhi NCR, Pronto has already expanded from Gurugram into major cities such as New Delhi, Mumbai, Bengaluru and Pune, and is handling around 6,000 daily bookings with nearly 1,300 active professionals as of December 2025.
The upcoming $25 million fundraise is expected to be used to enter more metros, deepen presence in existing neighbourhoods with additional hubs and upgrade Pronto’s technology for smarter routing, shift planning and real-time operations. A significant portion of the capital will also go into training, retention and benefits for its workforce to maintain consistent service quality at scale, especially as competition heats up from rivals like Snabbit and Urban Company in the rapid home services space. This near-$100 million valuation not only validates Pronto’s model but also highlights a broader shift toward organised, tech-driven domestic-help solutions in India’s largely informal home-services market.
Bhavish Aggarwal has sold Ola Electric shares worth about ₹325 crore over three consecutive trading sessions, primarily to fully repay a promoter-level loan of ₹260 crore and release all pledged promoter shares. Despite the stake sale, he continues to hold a significant shareholding of over 34 percent in Ola Electric, and the company has clearly stated that there is no change in promoter control or his long-term commitment to the business. This one-time, limited monetisation at the promoter’s personal level is positioned as a structural clean-up rather than a signal of reduced confidence in the company.
The transactions, executed through open-market bulk deals, included an initial sale of about 2.6 crore shares worth roughly ₹92 crore at an average price of ₹34.99 per share, followed by additional trades of around ₹142 crore and ₹90 crore, taking the total sale value to approximately ₹324–325 crore. As a result, Aggarwal’s stake has fallen by a little over 2 percent, while all previously pledged promoter shares about 3.93 percent of Ola Electric’s equity are being released, removing the overhang and risk typically associated with pledged stock. The company has also clarified that these deals do not involve any capital raise or dilution by Ola Electric itself, which is important for investors tracking promoter stake and governance.
The share sale came at a time when Ola Electric’s stock had been under pressure, even hitting an all-time closing low amid concerns around growth, competition and heavy promoter selling. However, once the company confirmed that the stake sale was complete and all promoter-level pledges would be cleared, the stock rebounded sharply, gaining around 9–10 percent as markets welcomed the removal of this technical overhang. For investors, the focus is now expected to shift back to Ola Electric’s core fundamentals EV sales growth, margins, and market-share performance in India’s two-wheeler EV segment while the reduced promoter debt risk and continued high promoter holding offer some comfort on long-term alignment.
Kuku FM’s parent company, Mebigo Labs, has hired leading investment banks to prepare for a 200 million dollar IPO in India, marking a major milestone for the country’s digital audio ecosystem. The Mumbai-based company has reportedly appointed Kotak Mahindra Capital, Axis Bank and Morgan Stanley’s India unit to manage the proposed share sale, which is likely to be launched on Indian stock exchanges once key regulatory steps are completed. This move signals strong intent to tap public markets and test investor appetite for subscription-led regional audio platforms in India.
The planned IPO proceeds are expected to help Kuku FM expand its content library, strengthen its regional language offerings and invest in technology to enhance user experience. With a focus on Hindi, Marathi, Tamil and other Indian languages, Kuku FM aims to capture the fast-growing audience in Tier 2 and Tier 3 cities seeking affordable audiobooks, courses and storytelling content. The funds could also provide additional firepower for marketing, partnerships and product innovation, helping the platform compete more aggressively in India’s crowded digital entertainment and creator economy landscape.
Founded in 2018, Kuku FM has built a subscription-driven business model and has reportedly scaled to millions of paying users, backed by multiple funding rounds from prominent investors. Its decision to pursue a 200 million dollar IPO positions it as one of the first major Indian audio platforms to attempt a public listing, potentially paving the way for other podcast and niche content startups to follow. As the IPO process moves forward, Kuku FM’s performance in the public markets will be closely watched as a key indicator of how investors value regional, knowledge-first audio platforms in India’s booming digital economy.
How Pronto Is Redefining 10-Minute Home Services in India with a $25 Million Fundraise
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