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Description
ChipAgents is a platform for agentic AI chip design and verification that integrates intelligent AI agents into electronic design automation processes, enabling hardware engineers to create and validate semiconductor designs more efficiently, reliably, and with reduced manual input. By utilizing sophisticated generative and agent-based AI, it can interpret design specifications, convert natural language or PDF documents into RTL (Register-Transfer Level) code, auto-complete Verilog/SystemVerilog code, generate testbenches, analyze simulation results, and identify bugs within extensive codebases, significantly shortening verification cycles and speeding up the time-to-market. The agents of ChipAgents seamlessly operate within the existing code editors or EDA workflows of engineers, automating everyday tasks like coverage gap analysis, waveform debugging, functional verification, and root-cause analysis of failed tests. By integrating design logic, logs, and waveform data into organized insights, these agents liberate teams from monotonous manual tasks, ultimately enhancing productivity. Additionally, this innovative approach not only streamlines the design process but also fosters collaboration among team members, leading to improved outcomes in semiconductor development.
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.
API Access
Has API
No
API Access
Has API
No
Integrations
.NET
No
C++
No
CSS
No
Devin
No
Go
No
HTML
No
JSON
No
JavaScript
No
Kotlin
No
Kubernetes
No
Integrations
.NET
Yes
C++
Yes
CSS
Yes
Devin
Yes
Go
Yes
HTML
Yes
JSON
Yes
JavaScript
Yes
Kotlin
Yes
Kubernetes
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$20/month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
ChipAgents
Founded
2024
Country
United States
Website
chipagents.ai/
Vendor Details
Company Name
Cognition
Founded
2023
Country
United States
Website
cognition.com