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Description
Harnessing generative AI, Rovo empowers teams to enhance their decision-making processes and accelerate goal achievement. It enables your teams to access information from all their chosen SaaS applications, facilitating continuous learning and knowledge refinement during their tasks while also enabling quicker responses through virtual agents. As data continues to proliferate across your organization, Rovo effectively consolidates the most pertinent information from all your selected SaaS tools, seamlessly integrating it into your daily workflow. Understanding complex topics often requires numerous inquiries, but with Rovo chat, you can connect with the appropriate teams and extract vital insights until you feel fully informed. Even the most efficient teams can benefit from additional support, and Rovo Agents are designed to comprehend intricate tasks, executing the necessary actions to guide you to success. With readily available specialized agents from the Atlassian marketplace or the option to swiftly create your own, Rovo also allows you to generate, review, and fine-tune content for various communication needs, ranging from product specifications to goal-setting documents. Ultimately, Rovo not only streamlines information access but also enhances collaboration and productivity across your organization.
Description
Muse Spark 1.2 is Meta’s newest coding-focused model, released alongside Muse Code as part of Meta’s AI developer platform. The model improves on Muse Spark 1.1 with stronger code generation, complex debugging, codebase understanding, and full developer workflow performance. Muse Spark 1.2 powers Muse Code, a terminal coding agent that can plan changes, write code, validate results, and coordinate persistent background subagents. The model was co-trained with Muse Code so it performs well inside the agentic coding runtime and tool environment. Its training included scaled coding compute, broader training environment diversity, rejection-sampled harness trajectories, recipe optimizations, and Muse Code toolset integration. Muse Spark 1.2 is designed for long-horizon coding tasks such as whole-repository generation, large end-to-end projects, auto-research, and extended optimization work. It uses planning to sequence work, goal conditioning to stay aligned with the user’s objective, and context compaction to preserve useful knowledge over long sessions. The model also benefits from a self-improvement loop where Muse Spark 1.1 generated challenging coding environments and instruction-following templates for training. By combining coding specialization, agentic workflow support, long-horizon training, subagent compatibility, and Meta Model API availability, Muse Spark 1.2 helps developers build, debug, and optimize software more effectively.
API Access
Has API
API Access
Has API
Integrations
Canva
Codex CLI
Dart
Facebook Messenger
Figma
Gray Swan
Java
Jira
Kubernetes
Meta AI
Integrations
Canva
Codex CLI
Dart
Facebook Messenger
Figma
Gray Swan
Java
Jira
Kubernetes
Meta AI
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$1.25 per 1M tokens (input)
$1.25 per million tokens in input, and $4.25 per million tokens of output
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Atlassian
Founded
2002
Country
Australia
Website
www.atlassian.com/software/rovo
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
meta.ai