Ratings and Reviews 1 Rating

Total
ease
features
design

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • TrustInSoft Analyzer Reviews & Ratings
    6 Ratings
    Company Website
  • Interfacing Integrated Management System (IMS) Reviews & Ratings
    66 Ratings
    Company Website
  • Innoslate Reviews & Ratings
    93 Ratings
    Company Website
  • Flagsmith Reviews & Ratings
    42 Ratings
    Company Website
  • All in One Accessibility Reviews & Ratings
    36 Ratings
    Company Website
  • JetBrains Junie Reviews & Ratings
    12 Ratings
    Company Website
  • Checksum.ai Reviews & Ratings
    1 Rating
    Company Website
  • Epsilon3 Reviews & Ratings
    265 Ratings
    Company Website
  • NINJIO Reviews & Ratings
    416 Ratings
    Company Website
  • PackageX OCR Scanning Reviews & Ratings
    48 Ratings
    Company Website

What is SWE-2?

SWE-2 is Cognition’s coding model for software engineering agents, developed to improve the balance between capability, reasoning cost, and execution efficiency. The model is post-trained from Kimi K3, a multi-trillion-parameter model that had already received extensive reinforcement learning for agentic coding. Cognition further trained SWE-2 with a reinforcement learning algorithm that optimizes several reasoning-effort levels during a single training run. These effort levels let users trade off speed and cost against deeper planning, codebase exploration, and verification for more difficult assignments. SWE-2 is designed to reduce the over-exploration seen in earlier models by identifying relevant files and implementation paths more quickly. Its software engineering abilities include repository analysis, code writing and editing, debugging, testing, build and lint workflows, terminal tasks, and verification of completed work. The model places additional emphasis on writing end-to-end tests, catching edge cases and regressions, and gathering evidence instead of simply accepting assumptions in a prompt. Cognition’s training approach also uses cost penalties tied to the model’s performance frontier, length-weighted reward baselines, speculative decoding improvements, low-precision inference techniques, and expanded reinforcement learning data. Training data includes more diverse repositories, additional instruction-following requirements, and iterative verifier improvements designed to reduce reward hacking and false validation. SWE-2 is benchmarked against models such as GPT-6 Astra, GPT-5.6 Sol, Fable 5.1, Grok 4.6, and Kimi K3, with Cognition positioning it around strong coding performance at substantially lower cost. SWE-2 is intended for use across Cognition’s Devin ecosystem, including Desktop and CLI, with rollout to Devin Web and Fusion.

What is Composer 1.5?

Composer 1.5 stands as the latest coding model from Cursor, designed to significantly boost both speed and analytical capabilities for routine programming tasks, boasting an impressive 20-fold enhancement in reinforcement learning compared to its predecessor, which results in superior performance when addressing real-world coding challenges. This innovative model operates as a "thinking model," producing internal reasoning tokens that aid in evaluating a user's codebase and planning future actions, which allows it to respond quickly to simple problems while engaging in deeper reasoning for more complex issues. Furthermore, it ensures interactivity and efficiency, making it perfectly suited for everyday development workflows. To manage lengthy tasks, Composer 1.5 incorporates a self-summarization feature that enables the model to distill information and maintain context when it reaches certain limits, thereby ensuring accuracy across various input lengths. Internal assessments reveal that Composer 1.5 surpasses its earlier version in coding tasks, particularly shining in its ability to handle intricate challenges, which enhances its applicability for interactive solutions within Cursor's platform. Not only does this advancement represent a leap forward in coding assistance technology, but it also promises to significantly enhance the overall development experience for users, making it a vital tool for modern programmers.

Media

Media

Integrations Supported

C
C#
Devin
Devin Desktop
Go
HTML
JSON
JavaScript
Kotlin
Kubernetes
MATLAB
Objective-C
PHP
PowerShell
R
Rust
SQL
Scala
Swift
Terraform

API Availability

API Availability

Pricing Information

$20/month
Free Version

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Cognition

Date Founded

2023

Company Location

United States

Company Website

cognition.com

Company Facts

Organization Name

Cursor

Date Founded

2023

Company Location

United States

Company Website

cursor.com/blog/composer-1-5

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Popular Alternatives

Popular Alternatives

Composer 2 Reviews & Ratings

Composer 2

Cursor
SWE-1.5 Reviews & Ratings

SWE-1.5

Cognition
GPT-5.6 Sol Reviews & Ratings

GPT-5.6 Sol

OpenAI
Composer 1 Reviews & Ratings

Composer 1

Cursor
SWE-1.7 Reviews & Ratings

SWE-1.7

Cognition