Augment Code
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Average Ratings 0 Ratings
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.
Description
HumanLayer is an open-source AI coding agent management and orchestration platform designed to help engineering teams coordinate autonomous software development workflows. The software combines a multiplayer coding workspace, persistent task management, agent session monitoring, and collaborative development artifacts in a unified environment. Its structured Research, Plan, and Implement methodology helps AI agents gather requirements, investigate codebases, design solutions, and execute programming tasks through defined checkpoints. Developers can create tasks from natural language descriptions or connected project management systems such as Linear and Jira. HumanLayer organizes agent sessions, research documents, implementation plans, code diffs, and Git worktrees within shared task workspaces accessible to multiple team members. Its collaborative review features allow engineers to comment directly on technical design documents and provide feedback that AI agents can incorporate before writing code. The platform supports parallel execution of multiple coding agents across local machines and remote cloud workers, with synchronized sessions and persistent background execution. Detailed session monitoring provides visibility into agent reasoning, tool calls, subagent activities, file modifications, and implementation progress. HumanLayer integrates with Claude Code, Codex, GitHub, Linear, Jira, and Slack, while offering an Apache 2.0 licensed codebase and self-hosted deployment options for organizations developing automated software engineering systems.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Slack
Yes
AppCode
Yes
Claude Opus 4.5
Yes
Claude Sonnet 4
Yes
Claude Sonnet 5
Yes
Discord
No
GPT-5.1 Pro
Yes
GPT-5.6 Luna
Yes
GPT-5.6 Terra
Yes
GPT-6.1 Sol
Yes
Integrations
Slack
Yes
AppCode
No
Claude Opus 4.5
No
Claude Sonnet 4
No
Claude Sonnet 5
No
Discord
Yes
GPT-5.1 Pro
No
GPT-5.6 Luna
No
GPT-5.6 Terra
No
GPT-6.1 Sol
No
Pricing Details
$50 per developer per month
Plans:
Community: Free
Developer: $50/month
Pro: $100/month
Max: $250/month
Community: Free
Developer: $50/month
Pro: $100/month
Max: $250/month
Free Trial
Yes
Free Version
Yes
Pricing Details
$100/user/month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Harness
Founded
2022
Country
United States
Website
www.augmentcode.com
Vendor Details
Company Name
HumanLayer
Country
United States
Website
www.humanlayer.dev/