Average Ratings 1 Rating

Total
ease
features

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Cursor has introduced Composer 2.5, a next-generation AI coding assistant built to deliver stronger reasoning, better collaboration, and improved reliability during software development tasks. The upgraded model performs better on long-running coding workflows and can manage complicated instructions with greater consistency than earlier Composer versions. Cursor expanded the training process by scaling compute resources, generating more advanced reinforcement learning environments, and refining behavioral traits that improve the developer experience. One of the key innovations in Composer 2.5 is its targeted textual feedback system, which helps the model learn from localized mistakes inside long coding trajectories instead of relying only on broad reward signals. This training method allows the AI to improve coding style, communication quality, and tool usage accuracy in a more focused way. The company also increased the amount of synthetic coding data by 25 times compared to Composer 2, giving the model exposure to more difficult and realistic programming tasks. During development, the system demonstrated sophisticated reasoning abilities by uncovering hidden implementation details and reverse-engineering deleted functionality inside synthetic environments. Composer 2.5 additionally uses advanced distributed training methods such as Sharded Muon and dual mesh HSDP to optimize large-scale model training performance. Available directly inside Cursor, the model comes in both standard and fast variants with different pricing tiers designed for developers, teams, and enterprise-scale engineering workflows.

Description

ReinforceNow serves as a comprehensive platform dedicated to ongoing learning through AI agents, designed to assist teams in deploying, training, and iterating efficiently. Developers are empowered to create AI agents that can be continuously trained using production traffic, or they can opt for Claude Code to configure the setup automatically. The platform manages vital components such as reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, allowing teams to concentrate on refining agent logic, data collection, and reward systems. With support for rapid LLM fine-tuning using LoRA, high-throughput training capabilities, and extensive compatibility with open-source models including Qwen, DeepSeek, and GPT-OSS, ReinforceNow enhances developers' efficiency. It offers sophisticated telemetry features that help evaluate, monitor, and iterate on AI agent LLM applications, including detailed traces, reward systems, experiment metrics, and training visibility. Teams can tackle extended tasks that require context sizes ranging from 32k to 1 million, create specialized agents for multi-turn interactions and long-duration tasks, and access an array of tools to streamline their reinforcement learning workflows, ultimately fostering innovation in AI development.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Bash Yes 
C Yes 
C++ Yes 
Cursor Yes 
Dart Yes 
Go Yes 
Google Cloud Platform No 
Grok Build Yes 
Java Yes 
JavaScript Yes 
Lua Yes 
Objective-C Yes 
PHP Yes 
PowerShell Yes 
R Yes 
Runpod No 
Swift Yes 
TypeScript Yes 
XML Yes 
gpt-oss-120b No 

Integrations

Bash No 
C No 
C++ No 
Cursor No 
Dart No 
Go No 
Google Cloud Platform Yes 
Grok Build No 
Java No 
JavaScript No 
Lua No 
Objective-C No 
PHP No 
PowerShell No 
R No 
Runpod Yes 
Swift No 
TypeScript No 
XML No 
gpt-oss-120b Yes 

Pricing Details

$0.50/M input
$0.50/M input and $2.50/M output tokens
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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) Yes 
In Person No 

Vendor Details

Company Name

Cursor

Founded

2022

Country

United States

Website

cursor.com

Vendor Details

Company Name

ReinforceNow

Country

United States

Website

www.reinforcenow.ai/

Product Features

Product Features

Alternatives

Alternatives

Claude Code Reviews

Claude Code

Anthropic
GLM-5 Reviews

GLM-5

Z.ai
TF-Agents Reviews

TF-Agents

Tensorflow