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Description

CogniFit stands out as a prominent provider of customized online cognitive training solutions aimed at evaluating and improving a range of cognitive abilities for individuals of all ages. Their platform, which is backed by scientific research, features more than 60 interactive games and mental exercises that focus on enhancing skills such as memory, attention, reasoning, and coordination. Users can start with a complimentary assessment to gain insights into their cognitive strengths and weaknesses, after which they can participate in personalized training programs that aim to bolster specific areas of cognitive function. The resources offered by CogniFit are beneficial not only for individuals looking to enhance their mental capabilities but also for professionals in fields like healthcare, education, and research, who utilize these tools to facilitate cognitive growth and recovery. Track your cognitive performance with daily and weekly score updates, set achievable goals to boost your scores through consistent brain training sessions, and create a structured plan to practice as frequently as needed to achieve your objectives. This comprehensive approach ensures that users can actively engage in their cognitive development journey.

Description

SWE-2 is a software engineering model from Cognition built for agentic coding tasks that require strong performance at lower computational and monetary cost. It is post-trained from the Kimi K3 base model and extends Cognition’s earlier SWE-1.7 training approach with a new reinforcement learning method for jointly optimizing multiple reasoning-effort settings. Medium, high, and maximum effort modes provide different tradeoffs between speed, cost, exploration, and verification depending on task complexity. The model is trained to inspect only the parts of a codebase that are likely to matter, helping it reach implementation faster and reduce unnecessary exploration. SWE-2 can generate and modify code, run tests, analyze repositories, work through terminal tasks, and verify whether implementations satisfy user requirements. Cognition also reports improvements in end-to-end test creation, regression detection, instruction following, and re-deriving conclusions when challenged. Its training process incorporates cost-aware rewards, length-weighted reward baselines, expanded reinforcement learning environments, and hardened verifiers intended to improve both efficiency and reliability. SWE-2 is positioned as a cost-efficient alternative to larger frontier coding models while remaining competitive on software engineering benchmarks such as FrontierCode, DeepSWE, and Terminal-Bench. The model is available in Devin Desktop and Devin CLI and is being introduced to additional Cognition products including Devin Web and Fusion.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
C++
CSS
Devin Desktop
Go
HTML
JSON
JavaScript
MATLAB
PHP
PowerShell
Python
Rust
Scala
Solidity
Swift
Terraform
TypeScript
XML
YAML

Integrations

.NET
C++
CSS
Devin Desktop
Go
HTML
JSON
JavaScript
MATLAB
PHP
PowerShell
Python
Rust
Scala
Solidity
Swift
Terraform
TypeScript
XML
YAML

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$20/month
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

CogniFit

Founded

1999

Country

United States

Website

www.cognifit.com

Vendor Details

Company Name

Cognition

Founded

2023

Country

United States

Website

cognition.com

Product Features

Alternatives

Alternatives

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