Google unveils AI-powered upgrades to Workspace tools like Docs, Sheets, Meet, and Chat, including automated workflows with Workspace Flows, audio versions and writing assistance in Docs, and data analysis in Sheets, empowering businesses to boost productivity and insights.
Google introduces Stitch, a new experiment that allows you to generate complex UI designs and frontend code from simple prompts and images, bridging the gap between design and development with a seamless, multimodal workflow powered by Gemini 2.5 Pro.
A Python-based infinite scrolling 2D platformer game leaps into action with voice control capabilities, allowing players to command the character's jump height and distance through Deepgram's API integration for real-time audio processing.
VS Code embraces open source AI by releasing the code for GitHub Copilot Chat under MIT license and integrating AI features into its core, enabling community contributions, transparency, and addressing security concerns while maintaining performance and user experience.
Google's autonomous AI coding agent Jules, now in public beta, asynchronously reads your code, performs tasks like writing tests and fixing bugs in a secure cloud environment, offering features like audio changelogs and GitHub integration.
Microsoft's NLWeb is an open protocol that empowers any website to integrate ChatGPT-style conversational AI capabilities, allowing developers to create custom chatbots using their own data and models, enabling more natural language interactions and search experiences on the web.
GitHub Copilot introduces a groundbreaking autonomous AI agent capable of independently testing, iterating, and improving code repositories by navigating files, executing commands, and initiating pull requests, leveraging MCP for enhanced context retrieval and interoperability.
SWE-agent is an AI-powered tool that autonomously fixes GitHub issues, finds cybersecurity vulnerabilities, or performs custom tasks using language models like GPT-4o or Claude Sonnet 4, achieving state-of-the-art results on benchmarks like SWE-bench.
Windows ML, a new runtime optimized for on-device AI model performance, offers a unified framework leveraging client silicon, optimizations from partners like AMD, Intel, NVIDIA, and Qualcomm, simplified deployment, advanced silicon targeting, performance improvements, and cross-build compatibility, empowering developers to create AI-infused applications.
Rust experts advise embracing the compiler's guidance, starting with simple examples, and thoroughly understanding ownership before advancing to more complex concepts like async Rust, treating the compiler as a collaborative tool rather than an obstacle.