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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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

.NET No 
C No 
C# No 
Canva Yes 
Cheaper Inference No 
Claude Agent SDK No 
Figma Yes 
GitHub Yes 
HTML No 
JavaScript No 
Jira Yes 
LangChain No 
Meta AI No 
Odysseus No 
Scala No 
TrustCloud Yes 
UserTesting Yes 
XML No 
Zapier Yes 
draw.io Yes 

Integrations

.NET Yes 
C Yes 
C# Yes 
Canva No 
Cheaper Inference Yes 
Claude Agent SDK Yes 
Figma No 
GitHub No 
HTML Yes 
JavaScript Yes 
Jira No 
LangChain Yes 
Meta AI Yes 
Odysseus Yes 
Scala Yes 
TrustCloud No 
UserTesting No 
XML Yes 
Zapier No 
draw.io No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

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

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