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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 ModelSim?

ModelSim is a powerful tool for simulating behavioral, RTL, and gate-level code, significantly improving both the quality of design and the efficiency of debugging through its platform-agnostic compilation capabilities. Its innovative single kernel simulator technology enables the smooth integration of VHDL and Verilog within one cohesive design environment. This simulator stands out by offering an extensive array of verification features at a competitive price, making it ideal for validating small to medium-sized FPGA designs that are often intricate and critical for mission success. ModelSim also includes advanced code coverage tools that provide crucial metrics, supporting thorough verification efforts. Furthermore, its intuitive interface reduces barriers to the effective use of verification resources, allowing users to focus on design improvements. All coverage information is securely maintained in the highly efficient UCDB database, which offers flexibility in result accessibility. Users can interactively analyze coverage outcomes during or after simulation sessions, including when consolidating results from multiple runs. This comprehensive and user-friendly platform empowers FPGA designers with the sophisticated tools necessary for successful debugging and enhancement of their designs, ultimately leading to more reliable and efficient project outcomes. In conclusion, ModelSim is not just a simulator, but a vital asset for engineers aiming for precision in their FPGA developments.

Media

Media

Integrations Supported

C
C++
Cerebras
Dart
Devin
Devin Desktop
Kotlin
Kubernetes
MATLAB
Objective-C
PHP
PowerShell
Rust
SQL
Solidity
Swift
TypeScript
XML
YAML

Integrations Supported

Siemens Precision

API Availability

API Availability

Pricing Information

$20/month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Linux

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

Siemens

Company Location

United States

Company Website

eda.sw.siemens.com/en-US/ic/modelsim/

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Categories and Features

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