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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.
Hyderabad, January 13, 2026 Neeman’s, India’s leading D2C footwear brand famed for sustainable shoes and patented PIXLL® technology, has raised $4 million from existing investors. This funding boosts its cumulative capital past $10 million since 2015, with a post-money valuation nearing $50 million. CEO Vijay Chahoria emphasized offline retail as the “next frontier,” planning 50+ new stores in Tier 2/3 cities like Jaipur and Lucknow to blend eco-friendly innovation with hands-on customer experiences.
In India’s booming D2C ecosystem where footwear sales hit ₹1.2 lakh crore in 2025 Neeman’s targets hybrid retail amid high online CAC and 25-30% returns. Backed by vegan, machine-washable shoes priced ₹2,000-4,000, the brand leverages PIXLL® (5x more breathable than leather) for carbon-neutral comfort. Recent 5x revenue growth to ₹100 crore ARR, 1M+ pairs sold via Myntra and stores, and awards at India D2C Summit 2025 position it ahead of rivals like Paaduks.
Neeman’s offline expansion India eyes the $15B sustainable footwear market by 2028, fueled by PLI schemes, Gen Z’s 70% eco-preference (Nielsen), and Southeast Asia exports. Challenges like real estate costs are offset by data-driven inventory and omnichannel QR tech. Watch for Q1 2026 launches in Hyderabad and Bengaluru redefining D2C success through authentic, “Wear the Change” branding.
The Centre is weighing the option of revoking X’s safe harbour status in India after its AI chatbot Grok was allegedly misused to generate and circulate obscene and sexually explicit content, including material seemingly involving minors. The IT Ministry has already issued a notice to X, directing the platform to remove unlawful content, fix Grok’s safeguards, act against violators, and submit a detailed compliance report within a tight deadline. If the government finds X’s response inadequate, it could argue that the platform has failed to meet due‑diligence standards under Indian law, opening the door to harsher action.
Under Section 79 of the IT Act, safe harbour protects intermediaries like X from being held directly liable for user‑generated content, provided they follow due‑diligence rules and promptly act on legal takedown orders. Revoking this protection would mean X and its officers could be exposed to criminal and civil liability for obscene, unlawful, or harmful content that remains on the platform, including AI‑generated images from Grok. This prospect significantly raises X’s compliance risk in India and could force tighter moderation, stricter AI controls, and more aggressive removal of flagged posts.
The Grok episode also spotlights the regulatory grey zone around generative AI, where tools can create harmful content at scale even without traditional user uploads. Policymakers are increasingly questioning whether AI outputs should still enjoy the same intermediary protections as conventional user posts, especially when they involve women and children. How the government ultimately proceeds against X over Grok misuse could set a precedent for AI accountability, platform responsibility, and safe harbour interpretation in India’s fast‑evolving digital ecosystem.
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.
Dazzl Raises $3.2M Seed Funding Led by OYO’s Ritesh Agarwal for AI Skincare Expansion
D2C Brand Neeman’s Raises $4 Million for Tier 2/3 Store Expansion & Eco-Friendly Shoes
Paytm Grants ₹16.7 Crore ESOPs To Employees Under 2019 Stock Option Plan
Dazzl Raises $3.2M Seed Funding Led by OYO’s Ritesh Agarwal for AI Skincare Expansion
D2C Brand Neeman’s Raises $4 Million for Tier 2/3 Store Expansion & Eco-Friendly Shoes
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