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Description
Augment Code serves as a dynamic development platform designed to assist engineering teams in transitioning from standalone AI coding assistants to a unified system of software agents. Its innovative Cosmos platform efficiently operates software agents on a large scale, providing them with the necessary context, tools, environments, memory, and feedback mechanisms to enhance their performance with each workflow. Cosmos integrates seamlessly throughout the entire software development lifecycle, featuring reusable expert agents that facilitate the creation of pull requests, review modifications, assess risks, conduct tests, and aid teams in designing their own tailored workflows. The PR Author can manage tasks from the initial commit to the final merge, while the Pair Review function collaborates with the author to evaluate changes. Additionally, the Deep Code Review agent analyzes pull requests comprehensively and provides inline feedback, whereas the PR Risk Analysis identifies potential blast radius, security vulnerabilities, and migration challenges. Finally, the Tester agent thoroughly tests changes from start to finish, delivering results complete with screenshots, ensuring quality and transparency in the development process. With this comprehensive suite of tools, teams can significantly enhance their efficiency and collaboration.
Description
Open Coding Agents represent a suite of fully open, high-performance AI coding models along with a training methodology introduced by the Allen Institute for AI, designed to simplify the process of creating, customizing, and training coding agents across various repositories in an accessible, cost-effective, and transparent manner; this platform encompasses models, code, training recipes, and tools that can be activated with minimal configuration, allowing users to adapt agents to their specific codebases and engineering practices for a variety of tasks including code generation, code review, debugging, maintenance, and code explanation. By departing from conventional closed and costly systems, these agents provide an open pipeline that extends from models to training data, facilitating fine-tuning on internal code, which helps agents learn about organization-specific APIs, patterns, and workflows; the inaugural release, SERA (Soft-verified Efficient Repository Agents), sets a new standard in coding benchmarks while maintaining a significantly lower compute cost than typical solutions, showcasing the potential for innovation in the field of AI-driven coding. As the landscape of coding becomes increasingly complex, the introduction of such models promises to democratize access to advanced coding assistance, paving the way for a more efficient development process.
API Access
Has API
API Access
Has API
Integrations
Claude Code
Amazon Web Services (AWS)
Augment Code
GitHub
Google Cloud Platform
Jira
Microsoft Azure
Model Context Protocol (MCP)
NVIDIA DRIVE
Slack
Integrations
Claude Code
Amazon Web Services (AWS)
Augment Code
GitHub
Google Cloud Platform
Jira
Microsoft Azure
Model Context Protocol (MCP)
NVIDIA DRIVE
Slack
Pricing Details
$20 per month
Free Trial
Free Version
Pricing Details
Free
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
Augment Code
Founded
2022
Country
United States
Website
www.augmentcode.com/#meet-cosmos
Vendor Details
Company Name
Ai2
Founded
2014
Country
United States
Website
allenai.org/blog/open-coding-agents