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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 CogniFit?

CogniFit is a leading provider of tailored online cognitive training solutions designed to assess and enhance various cognitive skills across all age groups. Their scientifically-supported platform offers over 60 engaging games and mental exercises that target improvements in memory, attention, reasoning, and coordination. Users can begin with a free evaluation that reveals their cognitive strengths and weaknesses, followed by access to personalized training programs designed to strengthen specific cognitive functions. The tools provided by CogniFit are advantageous not only for those seeking to improve their mental abilities but also for professionals in sectors such as healthcare, education, and research, who employ these resources to promote cognitive advancement and recovery. You can monitor your cognitive progress with daily and weekly score updates, establish attainable goals to raise your scores through regular brain training sessions, and devise a structured plan to practice as often as necessary to reach your targets. This holistic approach empowers users to take an active role in their cognitive development journey, making it a comprehensive resource for both personal and professional growth. Ultimately, CogniFit fosters an environment where users can effectively work towards enhancing their mental agility and overall cognitive health.

Media

Media

Integrations Supported

C
C#
C++
CSS
Cerebras
Devin
Go
Kubernetes
Objective-C
PowerShell
Python
Ruby
Rust
SQL
Scala
Solidity
Swift
Terraform
XML
YAML

Integrations Supported

API Availability

API Availability

Pricing Information

$20/month
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Cognition

Date Founded

2023

Company Location

United States

Company Website

cognition.com

Company Facts

Organization Name

CogniFit

Date Founded

1999

Company Location

United States

Company Website

www.cognifit.com

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Categories and Features

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SWE-1.7 Reviews & Ratings

SWE-1.7

Cognition