Amp

Amp

Amp Code
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+

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About

Agiloop is an AI-native product development platform that connects the complete software lifecycle, from idea and requirements through implementation, measurement, and continuous improvement. INVENT uses AI-guided interviews and repository analysis to turn a new idea or existing application into structured functional and technical specifications, detailed features, user stories, and acceptance criteria. IMPLEMENT takes approved specifications and builds complete features directly in your Git repository, with integrated code review, test scaffolding, acceptance-criteria validation, security checks, and support for existing CI/CD pipelines. INSPECT instruments generated features at build time, providing real-time usage analytics, user journeys, event tracking, metric goals, and AI analysis without separate tracking setup. ITERATE evaluates business outcomes, application health, architecture, and technical debt, then recommends implementation-ready improvements and can push them directly.

About

Amp is a frontier coding agent built to give developers full access to the power of today’s leading AI models directly in their workflow. Available in the terminal and popular editors like VS Code, Cursor, Windsurf, JetBrains, and Neovim, Amp integrates seamlessly into existing development environments. It enables developers to delegate complex coding tasks, refactors, reviews, and explorations to intelligent agents that understand and operate across entire codebases. With support for advanced models such as Claude Opus, Gemini, and GPT-class models, Amp delivers fast, reliable, and highly agentic code generation. The platform is designed for real-world engineering work, handling multi-file changes, deep context, and iterative improvements. Amp helps developers move faster while maintaining confidence in code quality.

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

Audience

Founders, product teams, agencies, and engineering organizations seeking to plan, build, measure, and continuously improve software through an AI-powered development lifecycle

Audience

Amp is built for professional software developers, engineers, and technical teams who want an advanced AI coding agent to handle complex codebases, accelerate development, and enable more ambitious engineering workflows

Support

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

Support

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

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$0.25 per story point
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Supported

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 4.7 / 5
ease 4.7 / 5
features 4.3 / 5
design 4.0 / 5
support 4.7 / 5

Pros & Cons from Real Users

Pros

  • Good integration with Pycharm, unit tests support, solving quickly programming challenges. The biggest pros -> reading whole source code project and proposing the answer based on the rest of the code.
  • Takes the context of your code to give you answers, the vscode extension is awesome and support was incredibly fast when I had an issue.
  • Amp was easy to get started with and it's very intuitive to use. This has been a nice alternative to coding with ChatGPT up in a browser where I have to copy and paste my code back and forth. I'm a big fan of the preset prompts as there are a few I would never have thought of asking.

Cons

  • Not following the pattern in a single chat even. F.ex. if I polish the tests to be using that framework or that way to mock it for one set of tests, for next method, it is forgetting my earlier "style".
  • Sometimes the context is not that accurate, and the latest version came out bugged
  • Not too many drawbacks outside of the general limitations of the AI. There have been a couple of times I've asked it to rewrite code for me and I had to prompt it to get it to give me an example in actual code vs just advice about how to improve the code.

Training

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

Training

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

Company Information

Agiloop
Founded: 2025
United States
www.agiloop.ai/

Company Information

Amp Code
United States
ampcode.com

Alternatives

Alternatives

JetBrains Junie

JetBrains Junie

JetBrains
Claude Security

Claude Security

Anthropic
Kimi Code CLI

Kimi Code CLI

Moonshot AI
Claude Code

Claude Code

Anthropic
Cline

Cline

Cline AI Coding Agent

Categories

AI Coding Agents Supported

Categories

Agentic AI Supported
AI Code Generators Supported
AI Code Review Supported
AI Coding Agents Supported
AI Tools Supported
Vibe Coding Supported

Integrations

Git Supported
Bitbucket Not Supported
C Not Supported
Claude Opus 4.6 Not Supported
Clojure Not Supported
Dart Not Supported
Emdash Not Supported
Erlang Not Supported
GPT-6 Luna Not Supported
Gemini 3.1 Pro Not Supported
GitLab Not Supported
Go Not Supported
Google Sheets Supported
JSON Not Supported
PyCharm Not Supported
Python Not Supported
Ruby Not Supported
Swift Not Supported
Trello Supported
YAML Not Supported

Integrations

Git Supported
Bitbucket Supported
C Supported
Claude Opus 4.6 Supported
Clojure Supported
Dart Supported
Emdash Supported
Erlang Supported
GPT-6 Luna Supported
Gemini 3.1 Pro Supported
GitLab Supported
Go Supported
Google Sheets Not Supported
JSON Supported
PyCharm Supported
Python Supported
Ruby Supported
Swift Supported
Trello Not Supported
YAML Supported
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