Average Ratings 3 Ratings

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ease
features
design
support

Average Ratings 0 Ratings

Total
ease
features
design
support

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Description

Amp is a next-generation coding agent engineered for developers working at the frontier of software development. It brings powerful AI agents directly into the terminal and code editors, allowing engineers to build, refactor, review, and explore large codebases with minimal friction. Unlike simple code assistants, Amp operates agentically, running subagents, managing context, and making coordinated changes across dozens of files. It supports multiple state-of-the-art models and continuously evolves with frequent updates, new agents, and performance improvements. Features like agentic code review, clickable diagrams, fast search subagents, and context-aware analysis make Amp feel like a true engineering partner rather than a chat tool. By reducing manual overhead and increasing leverage, Amp enables teams to focus on higher-level design and problem solving. The result is faster iteration, cleaner architectures, and more ambitious builds.

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

Screenshots View All

Screenshots View All

Integrations

C#
Claude Sonnet 4
Claude Sonnet 4.6
Erlang
GPT-5
GPT-5.1 Instant
Gemini 3 Pro
Git
Go
Neovim
Node.js
OpenAI o1-mini
PHP
PyCharm
Python
React
Slack
Sourcegraph
Windsurf Editor
YAML

Integrations

C#
Claude Sonnet 4
Claude Sonnet 4.6
Erlang
GPT-5
GPT-5.1 Instant
Gemini 3 Pro
Git
Go
Neovim
Node.js
OpenAI o1-mini
PHP
PyCharm
Python
React
Slack
Sourcegraph
Windsurf Editor
YAML

Pricing Details

Free
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

Amp Code

Country

United States

Website

ampcode.com

Vendor Details

Company Name

Ai2

Founded

2014

Country

United States

Website

allenai.org/blog/open-coding-agents

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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