Spark

Spark

Spark RE Technologies
+
+

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About

Muse Spark 1.2 is Meta’s coding-focused model update designed to power Muse Code and improve software engineering workflows. The model is built for code generation, complex debugging, codebase understanding, long-horizon development tasks, and end-to-end developer workflows. Muse Spark 1.2 was co-trained with Muse Code to improve performance inside the terminal coding agent environment. It supports planning, goal conditioning, context compaction, subagent coordination, and iterative coding workflows across large repositories. The model was trained with expanded coding compute, diverse development environments, self-improvement loops, and long-running engineering tasks. Built for AI developers and software teams, Muse Spark 1.2 helps agents plan, write, validate, debug, and optimize code with greater autonomy.

About

Digital contracts integrated into your CRM and marketing. One log-in for your entire sales and marketing process eliminates the need for multiple platforms. Designed for the real estate industry, Spark helps your team run the entire sales process from inventory management to contract generation. Every developer rates contacts differently, and roles differ from team to team. Customize Spark to your workflow and process without interrupting progress. Whether it's condos, townhomes, master planned communities, single family homes or apartments — Spark provides the platform required to sell, market, close and report on your entire portfolio of new development projects. From first contact, we prioritize your objectives and adapt the platform to your team's needs and regional processes. Our consultative approach starts with establishing an onboarding & training plan your whole team will buy into.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers, software engineers, coding agent builders, research teams, platform teams, DevOps teams, ML engineers, enterprise development teams, and organizations that need code generation, debugging, codebase understanding, long-horizon coding, terminal agents, subagent coordination, repository automation, kernel optimization, and end-to-end developer workflow support

Audience

Real estate companies and professionals in need of a solution to automate portfolio management, generate reports, distribute waterfalls, and streamline performance data

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$1.25 per 1M tokens (input)
$1.25 per million tokens in input, and $4.25 per million tokens of output
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Muse Spark 1.2 looks like a big step up for developers because it is clearly aimed at real software engineering work, not just casual code suggestions. The fact that it powers Muse Code makes it feel more practical right away, especially for terminal-based workflows where the model can help write code, validate changes, and work through bigger tasks. I like that Meta seems to be pushing hard into agentic coding. Earlier Muse Spark versions were already positioned around multimodal reasoning, tool use, and visual coding, and 1.2 feels like the more developer-focused evolution of that direction. The cost angle is interesting too. Reports mention Muse Code having multiple pricing tiers, including a cheaper option, which could matter a lot for developers running coding agents frequently instead of only using AI once in a while.

Cons

  • It is still new and tied to a beta coding agent, so I would not trust it blindly yet. I would want to test it on real repos, messy bugs, failing tests, multi-file edits, and longer agent runs before making it part of my daily stack. Meta also still has to prove the developer experience. A strong model is one thing, but coding agents live or die on tooling, speed, reliability, permissions, logs, diffs, and how well they recover when something breaks.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
meta.ai

Company Information

Spark RE Technologies
Founded: 2013
Canada
spark.re

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Categories

Categories

Real Estate Agency Features

Calendar Management
Client / Property Matching
Client Database
Commission Management
Contact Management
Contract Management
Email Marketing
Flyer / Catalog Printing
Lead Management
Listing Management
Property Database
Website Management

Integrations

Apache Atlas
Bash
CData API Server
CSS
Claude Agent SDK
Continue
Go
HTML
Hermes Agent
HugeGraph
Knowi
Kubernetes
Mage Dynamic Data Masking
Muse Spark
Odysseus
OpenClaw
PHP
Sematext Cloud
Vercel AI SDK
WhatsApp

Integrations

Apache Atlas
Bash
CData API Server
CSS
Claude Agent SDK
Continue
Go
HTML
Hermes Agent
HugeGraph
Knowi
Kubernetes
Mage Dynamic Data Masking
Muse Spark
Odysseus
OpenClaw
PHP
Sematext Cloud
Vercel AI SDK
WhatsApp
Claim Muse Spark 1.2 and update features and information
Claim Muse Spark 1.2 and update features and information
Claim Spark and update features and information
Claim Spark and update features and information