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What is MAI-Code-1-Flash?
MAI-Code-1-Flash is a groundbreaking coding model launched by Microsoft, designed to offer rapid and effective support to developers in their everyday activities. This carefully developed model, which utilizes clean and properly licensed data, is being rolled out to individual GitHub Copilot users within Visual Studio Code through the model picker and the default Auto picker feature. Its main aim is to improve the quality of coding assistance while increasing productivity, allowing engineering teams to create higher-quality code more quickly with a streamlined model that is seamlessly integrated into GitHub Copilot and VS Code. Importantly, MAI-Code-1-Flash has been trained using production harnesses from GitHub Copilot, enabling it to operate effectively in real-world developer environments and engage with a variety of tools and systems instead of being exclusively fine-tuned for static benchmarks. The model stands out in agentic coding, demonstrates strong instruction-following skills across single-turn and multi-turn interactions, answers repository-related inquiries, executes refactoring, addresses telemetry-driven tasks, and exhibits adaptive thinking capabilities. Consequently, this model marks a notable leap forward in coding assistance technology, poised to revolutionize the manner in which developers interact with their coding environments, thereby fostering greater innovation and creativity in software development.
What is Laguna XS 2.1?
The Laguna XS 2.1 represents a sophisticated advancement in coding models, functioning as an open weight agentic system that excels in executing long-duration tasks on local machines. It boasts a robust 33-billion-parameter Mixture-of-Experts architecture, activating 3 billion parameters per token, while preserving the efficient design of its predecessor, Laguna XS.2, and significantly enhancing its capabilities in multilingual software engineering and terminal-related tasks. This model is meticulously crafted to support coding agents in reviewing code repositories, navigating complex changes, leveraging diverse tools, executing commands, and ensuring seamless progress throughout extensive projects. With an impressive context window of 256K, it empowers agents to adeptly handle large codebases, maintain extensive histories, and navigate intricate multi-step workflows. The Laguna XS 2.1 also enjoys compatibility with various platforms like vLLM, SGLang, NVIDIA TensorRT-LLM, Hugging Face Transformers, and Ollama, with aspirations for future native support from llama.cpp. Offered in multiple checkpoint formats such as BF16, FP8, INT4, and NVFP4, it allows developers to choose between high fidelity and configurations designed for environments with restricted VRAM or processing capacity. This versatility not only enhances its usability across different development frameworks but also positions it as a prime choice for diverse programming needs and settings. Furthermore, its ability to adapt to varying project demands makes it a valuable asset for developers seeking efficiency and performance in their workflows.
Integrations Supported
Visual Studio Code
Agent Client Protocol (ACP)
Claude Code
GitHub Copilot
Hermes Agent
Hugging Face
IntelliJ IDEA
Kilo Code
Microsoft Azure
Microsoft Foundry
Integrations Supported
Visual Studio Code
Agent Client Protocol (ACP)
Claude Code
GitHub Copilot
Hermes Agent
Hugging Face
IntelliJ IDEA
Kilo Code
Microsoft Azure
Microsoft Foundry
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Microsoft AI
Date Founded
2024
Company Location
United States
Company Website
microsoft.ai/news/introducingmai-code-1-flash/
Company Facts
Organization Name
Poolside
Date Founded
2023
Company Location
United States
Company Website
poolside.ai/blog/introducing-laguna-xs-2-1