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Description

Our advanced model is capable of comprehending and analyzing all forms of observability data, including unstructured information, enabling you to swiftly restore the health of software and systems. It has been designed to handle and address numerous critical incidents across diverse architectural frameworks, providing enterprise developers with access to unparalleled debugging expertise. This model specifically targets one of the most challenging aspects of software engineering: debugging issues that arise in production. It functions effectively without any prior training and is compatible with any observability data platform. Additionally, it can adapt based on user feedback and refine its approach by learning from previous incidents and patterns specific to your environment while ensuring that your data remains secure. Consequently, this allows you to tackle critical incidents with Flip in a matter of seconds, optimizing your response time and increasing operational efficiency. With such capabilities, you can significantly enhance the reliability of your systems.

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

Screenshots View All

Screenshots View All

Integrations

Bash
C
Codex CLI
Continue
Dart
Go
Instagram
Java
Kotlin
LlamaIndex
Meta AI
Muse Image
Objective-C
OpenAI Codex
OpenCode
PowerShell
Rust
SQL
TypeScript
Vercel AI SDK

Integrations

Bash
C
Codex CLI
Continue
Dart
Go
Instagram
Java
Kotlin
LlamaIndex
Meta AI
Muse Image
Objective-C
OpenAI Codex
OpenCode
PowerShell
Rust
SQL
TypeScript
Vercel AI SDK

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

Flip AI

Founded

2021

Country

United States

Website

www.flip.ai/

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

Product Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

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