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Description

Agiloop is a platform designed for AI-driven product development that seamlessly integrates the entire software lifecycle, spanning from conceptualization and requirement gathering to execution, evaluation, and ongoing enhancement. The INVENT feature leverages AI-based interviews and repository assessments to convert fresh ideas or pre-existing applications into organized functional and technical specifications, comprehensive features, user narratives, and criteria for acceptance. The IMPLEMENT phase takes the validated specifications and directly constructs complete features within your Git repository, incorporating integrated code reviews, test scaffolding, validation of acceptance criteria, security assessments, and compatibility with current CI/CD workflows. During the INSPECT phase, it instruments the created features at build time, delivering real-time analytics on usage, user journeys, event tracking, metric goals, and AI-driven insights without needing a separate tracking configuration. Finally, the ITERATE component assesses business performance, application stability, system architecture, and technical liabilities, offering actionable recommendations for improvements that can be implemented straight away, ensuring a continuous cycle of enhancement and adaptation. This comprehensive approach not only streamlines the development process but also enhances collaboration and transparency throughout the software lifecycle.

Description

Augment Code is an AI-assisted software engineering platform designed to support developers working with large repositories and complex application architectures. Its Context Engine provides semantic code search that identifies relevant files, dependencies, patterns, and relationships throughout a codebase. The platform uses this contextual information to help AI agents generate code, troubleshoot errors, implement features, and perform refactoring tasks. Augment Code includes Auggie, a command-line coding agent that supports interactive development sessions and automated execution within CI/CD pipelines. Developers can use subagents to divide complex assignments into smaller tasks that execute concurrently. The Context Engine also connects to compatible AI coding tools through the Model Context Protocol, allowing external agents to retrieve repository-specific information. Automated code review capabilities analyze pull requests for potential bugs, security risks, and inconsistencies with existing application architecture. Its Cosmos platform coordinates specialized AI agents across workflows involving issue triage, code authoring, testing, review, and incident response. Augment Code supports integrations with development platforms and project management systems while providing configurable rules, permissions, and human review processes.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Android Studio No 
Anthropic Yes 
CLion No 
Claude Fable 5 No 
Claude Fable 5.1 No 
Claude Fable 5.5 No 
Claude Haiku 4.5 No 
Claude Opus 4.1 No 
Claude Sonnet 5.5 No 
GPT-5.2 No 
GPT-5.3 Instant No 
GPT-5.4 mini No 
GPT-5.6 Sol No 
GPT-6 Luna No 
GPT-6.1 Sol No 
Jira Yes 
Kimi K3 No 
Model Context Protocol (MCP) No 
PHP No 
React No 

Integrations

Android Studio Yes 
Anthropic No 
CLion Yes 
Claude Fable 5 Yes 
Claude Fable 5.1 Yes 
Claude Fable 5.5 Yes 
Claude Haiku 4.5 Yes 
Claude Opus 4.1 Yes 
Claude Sonnet 5.5 Yes 
GPT-5.2 Yes 
GPT-5.3 Instant Yes 
GPT-5.4 mini Yes 
GPT-5.6 Sol Yes 
GPT-6 Luna Yes 
GPT-6.1 Sol Yes 
Jira No 
Kimi K3 Yes 
Model Context Protocol (MCP) Yes 
PHP Yes 
React Yes 

Pricing Details

$0.25 per story point
Free Trial No 
Free Version Yes 

Pricing Details

$50 per developer per month
Plans:

Community: Free
Developer: $50/month
Pro: $100/month
Max: $250/month
Free Trial Yes 
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 Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
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

Agiloop

Founded

2025

Country

United States

Website

www.agiloop.ai/

Vendor Details

Company Name

Harness

Founded

2022

Country

United States

Website

www.augmentcode.com

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