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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-1.7 is Cognition’s most capable software engineering model, built to push frontier coding performance while reducing the cost of high-quality agentic rollouts. The model is designed for real-world software development tasks that require extended reasoning, codebase understanding, terminal use, debugging, feature work, migrations, and careful validation. It was trained from a Kimi K2.7 base and improved through Cognition’s reinforcement learning pipeline, including more stable training, stronger infrastructure, better data curation, and long-horizon task techniques. SWE-1.7 is especially optimized for asynchronous software engineering, where an agent needs to work through large projects over longer sessions instead of simply answering short prompts. Its self-compaction capabilities allow the model to summarize its working state and resume from that summary, helping it operate beyond the raw context window on multi-hour tasks. The model is also trained to balance task success with efficiency, using concise reasoning when possible while preserving deeper exploration for harder problems. SWE-1.7 tends to investigate codebases more thoroughly than its base model, reading files, running searches, probing edge cases, and experimenting before making changes. It is available in Devin through web, desktop, and CLI interfaces, with Cerebras serving support at 1000 TPS. SWE-1.7 gives developers and engineering teams a high-performance coding model for complex software projects at a more practical cost.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
C#
CSS
Devin Desktop
Go
HTML
JSON
Kubernetes
Lua
Objective-C
PHP
PowerShell
Python
R
Ruby
Swift
Terraform
TypeScript
XML
YAML

Integrations

.NET
C#
CSS
Devin Desktop
Go
HTML
JSON
Kubernetes
Lua
Objective-C
PHP
PowerShell
Python
R
Ruby
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

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