SWE-2

SWE-2

Cognition
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About

Cognite Atlas AI is a low-code industrial AI agent workbench that powers agents with AI-ready industrial data to automate workflows and accelerate business impact across organizations at scale. With a low-code interface, preconfigured agent templates, and purpose-built industrial tools, digital teams can build, customize, and deploy AI agents without writing code. Powered by Cognite Data Fusion's Industrial Knowledge Graph, the platform provides agents with contextualized industrial data to deliver trustworthy, reliable insights and automate complex, industry-relevant tasks. It unifies time-series data, events, documents, visual data streams, and 3D engineering models, breaking down data silos and enabling accurate answers to complex questions. Users can build tailored AI applications that understand industry-specific terminology, processes, and standards, supporting workflows such as root cause analysis, equipment troubleshooting, and operational decision-making.

About

SWE-2 is Cognition’s advanced coding model designed to improve software engineering performance while reducing the cost of agentic coding workflows. The model is post-trained from Kimi K3 and uses reinforcement learning to optimize multiple reasoning-effort levels within a single training run. SWE-2 is designed to explore codebases more selectively, begin implementation sooner, and complete tasks with fewer redundant reads and reasoning steps than earlier Cognition models. Its capabilities include code generation, debugging, test creation, verification, repository analysis, and complex terminal-based software engineering tasks. The model also emphasizes stronger engineering judgment, end-to-end test coverage, instruction following, and evidence-based verification of user assumptions. SWE-2 is available through Devin Desktop and Devin CLI, with broader rollout planned across Devin Web and Fusion.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Industrial organizations, engineers, teams, and professionals wanting to build and deploy AI agents, automate industrial workflows, and improve operational efficiency

Audience

Software developers, engineering teams, AI coding agent users, DevOps professionals, and organizations that need capable agentic software engineering with lower execution cost and more efficient reasoning

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$20/month
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Pros & Cons from Real Users

Pros

  • The biggest thing that stands out is the cost-performance balance. SWE-2 is not just trying to top one benchmark; it is trying to get very close to frontier coding performance at a much lower cost. For developers, that matters a lot. Coding agents can burn through tokens quickly when they are reading files, making edits, running tests, and iterating. A model that performs near the top while being meaningfully cheaper is much easier to use every day. I also like that SWE-2 seems built for real software engineering workflows, not just isolated code snippets. The strong DeepSWE and Terminal-Bench results make it especially interesting for repo-level tasks, debugging, tool use, and longer agent runs.

Cons

  • Benchmarks are useful, but real projects bring messy architecture, flaky tests, undocumented behavior, and weird edge cases.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Cognite
Founded: 2016
United States
www.cognite.com/en/product/atlas

Company Information

Cognition
Founded: 2023
United States
cognition.com

Alternatives

Alternatives

Riff

Riff

Riff.ai
SWE-1.7

SWE-1.7

Cognition
SWE-1.6

SWE-1.6

Cognition

Categories

Categories

AI Coding Models Supported
AI Models Supported

Integrations

C Not Supported
C# Not Supported
C++ Not Supported
Cerebras Not Supported
ChatGPT Supported
DeepSeek Supported
Devin Desktop Not Supported
JSON Not Supported
JavaScript Not Supported
Llama Supported
MATLAB Not Supported
OpenAI Supported
PowerShell Not Supported
Python Not Supported
Ruby Not Supported
Rust Not Supported
Scala Not Supported
Solidity Not Supported
TypeScript Not Supported
YAML Not Supported

Integrations

C Supported
C# Supported
C++ Supported
Cerebras Supported
ChatGPT Not Supported
DeepSeek Not Supported
Devin Desktop Supported
JSON Supported
JavaScript Supported
Llama Not Supported
MATLAB Supported
OpenAI Not Supported
PowerShell Supported
Python Supported
Ruby Supported
Rust Supported
Scala Supported
Solidity Supported
TypeScript Supported
YAML Supported
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