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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.

Description

Siift is a platform that leverages artificial intelligence to enhance strategy and operations, enabling entrepreneurs to establish their businesses with greater insight, assurance, and effectiveness. By integrating established methodologies for entrepreneurship and innovation with a comprehensive contextual framework, it provides data-driven advice and a visual business canvas that connects ideas, assumptions, actions, outcomes, and metrics seamlessly. The platform operates across five key phases: Ideate, Validate, Build, Go To Market, and Scale. Users can investigate various opportunities simultaneously, pinpoint blind spots, and evaluate concepts using a consistent evidence-based approach. Additionally, it allows users to transform assumptions into well-structured research and experiments, align validated customer value with their minimum viable product (MVP) and overall product strategy, fine-tune positioning and channel strategies, and recognize barriers that may hinder growth. Furthermore, siift assesses the strength of evidence supporting claims, empowering users to make informed decisions based on actual signals instead of mere confidence or AI-generated motivations. This approach not only enhances decision-making but also fosters a more rigorous and analytical mindset among entrepreneurs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
C
C#
Cerebras
Devin
Google Workspace
HTML
JSON
JavaScript
Kotlin
PHP
PowerShell
Python
R
Ruby
Rust
SQL
Scala
Solidity
Swift

Integrations

.NET
C
C#
Cerebras
Devin
Google Workspace
HTML
JSON
JavaScript
Kotlin
PHP
PowerShell
Python
R
Ruby
Rust
SQL
Scala
Solidity
Swift

Pricing Details

$20/month
Free Trial
Free Version

Pricing Details

$11 per 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

Cognition

Founded

2023

Country

United States

Website

cognition.com

Vendor Details

Company Name

siift

Founded

2025

Country

Canada

Website

siift.ai/

Product Features

Product Features

Alternatives

Alternatives

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