# Augment Code vs Folderer

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Folderer records 491 monthly visits with -61% growth and Contact for Pricing pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [Folderer](https://openaitools.app/tool/folderer) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://folderer.com |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Code Generator, AI Code Assistant, AI GitHub |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 326,215 | 491 |
| MoM Growth Rate | +24.1% | -61% |
| Primary Market | United States | United States |
| Direct Visits | 137,070 | 145 |
| Review Score | 4.5 | 3.9 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Augment Code

Augment Code is an AI coding platform aimed at engineering organisations rather than individual autocomplete users. Its foundation is the Context Engine, which builds a structured understanding of an existing repository — dependencies, architecture, conventions — so that AI suggestions and generated changes fit the codebase instead of reading like generic boilerplate. The product works inside common IDEs and also in the terminal via a CLI.

The platform's recent focus is Cosmos, an agent orchestration layer for the software development lifecycle. Instead of a single assistant answering prompts, Cosmos runs connected loops: a ticket becomes a reviewed pull request, every new PR gets a first-pass code review, failed CI runs get diagnosed, Dependabot and Snyk alerts get triaged into prioritised issues, and on-call engineers inherit a completed investigation. Each loop hands its outcome to the next, and quality gates pause work for human review rather than shipping automatically.

Agents can be deployed in managed cloud sandboxes, on your own machines for code that cannot leave the building, or a mix of both. Native triggers cover GitHub, GitLab, Slack, Linear, Jira, schedules and typed webhooks, with integrations for CI systems. There is a free tier for individuals to try the assistant, while team and enterprise adoption is quote-based; the company has announced it is joining Harness to push the autonomous SDLC from idea to production.

**Pricing & Plans:** Freemium with a free tier for individual developers to start, plus paid team plans and enterprise/contact-for-pricing options. Enterprise deployment includes self-hosted and hybrid agent execution; exact seat and usage pricing is quoted by sales.

- **Context Engine codebase understanding:** Indexes architecture, dependencies and conventions across large repositories so generated code and reviews match how your team actually writes software.
- **Cosmos agent orchestration:** Runs connected SDLC loops — code review, ticket-to-PR, incident triage, dependency upgrades and security remediation — where each agent hands its result to the next.
- **Human-in-the-loop quality gates:** Work pauses at defined checkpoints so engineers approve plans and consequential actions instead of letting agents ship unreviewed changes.
- **Deploy anywhere:** Execute agents in managed cloud sandboxes, on local machines and dev VMs for sensitive code, or in your own AWS and GCP environments.
- **Expert registry and shared memory:** Choose from shipped agents, fork them, or build your own; corrections and shared knowledge improve future runs for the whole team.

**Strengths:** Deep codebase context means suggestions fit existing architecture and conventions; Loops connect across the SDLC instead of solving one isolated task; Quality gates keep humans in control of consequential changes; Flexible deployment including local and self-hosted execution for sensitive code

**Limitations:** Enterprise pricing is quote-based, which makes budgeting harder before a trial; The full value depends on wiring up integrations and triggers across your toolchain; Small teams and solo developers may find the orchestration layer heavier than needed

[Profile (Markdown)](https://openaitools.app/tool/augment-code.md)

## Folderer

Folderer sits in the emerging category of AI development assistants that treat code generation and repository management as one workflow. Instead of copying snippets out of a chat window, you describe a project or feature in natural language and Folderer's AI writes the code, then handles the mechanics of placing files and committing them to your connected GitHub repository.

The product page frames this as "AI-powered code generation integrated in your GitHub repos and your deployments." The workflow is deliberately conversational: you open a chat, state what you want, review the generated code, and iterate with follow-up messages until the result matches your intent. Folderer adapts to the style of the project and follows common best practices, aiming to cut the boilerplate overhead that slows down early-stage development.

To show it in practice, the team publishes a small set of demos — a business card maker, a product landing page for a SaaS product and an AI job impact calculator — each with a chat preview showing the prompts used. Folderer is aimed at individual developers, indie builders and small teams who want to move from idea to working scaffold quickly, while still keeping the output under human review before it goes to production.

**Pricing & Plans:** Folderer does not publish public pricing tiers on its website. The original OpenAITools listing classifies it as "Contact for Pricing", so prospective users should get in touch through the site to discuss plans and usage. A free sign-up flow is available on the homepage.

- **AI-powered code generation:** Describe your idea in plain language and Folderer's AI produces customized, production-ready code that follows your project conventions.
- **Direct GitHub integration:** Generated files are organized and committed directly into your GitHub repositories, keeping version history and structure clean.
- **Iterative chat workflow:** Keep the conversation going to refine output — adjust features, fix bugs and extend the code without restarting from scratch.
- **Automatic file organization:** Folderer handles file placement and repository structure so you spend less time on manual organization and more on building.
- **Worked demos:** The site ships real-world demos such as a business card maker, a SaaS landing page and an AI job impact calculator to show what the tool can build.

**Strengths:** Turns natural-language ideas into code without leaving a chat interface; Commits directly into GitHub so work lands where developers already operate; Handles file organization automatically, reducing manual scaffolding; Public demos make it easy to judge output quality before signing up

**Limitations:** The public site is thin on documentation, so engineers have to learn the workflow by trying it; No public pricing page, which makes budget planning harder for teams; Generated code still needs a human review before merging to production; Requires granting the tool access to your GitHub repositories

[Profile (Markdown)](https://openaitools.app/tool/folderer.md)

## Frequently Asked Questions

### How do Augment Code and Folderer compare in monthly traffic?

Augment Code has 326,215 monthly visits, while Folderer has 491. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Augment Code has a month-over-month growth rate of +24.1%; Folderer has -61%.

### How does pricing compare?

Augment Code: Freemium, Free Trial, Contact for Pricing. Freemium with a free tier for individual developers to start, plus paid team plans and enterprise/contact-for-pricing options. Enterprise deployment includes self-hosted and hybrid agent execution; exact seat and usage pricing is quoted by sales. Folderer: Contact for Pricing. Folderer does not publish public pricing tiers on its website. The original OpenAITools listing classifies it as "Contact for Pricing", so prospective users should get in touch through the site to discuss plans and usage. A free sign-up flow is available on the homepage.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Offers powerful parallel agentic workflows and dedicated IDE tools, but with less focus on proprietary enterprise codebase context. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Describe your idea and Replit builds a working app in minutes | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | The AI coding agent that turns ideas into shipped software | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 4 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | A spec-driven AI IDE and agent platform that plans, builds, reviews, and verifies real engineering work. | [.md](https://openaitools.app/tool/kiro.md) |
| 5 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Cognition's autonomous software engineer that ships real pull requests | [.md](https://openaitools.app/tool/devin.md) |
| 6 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 7 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Provides an open-source agent development environment running parallel CLI coding agents, but requires manual configuration and setup. | [.md](https://openaitools.app/tool/orca.md) |
| 8 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 9 | [DeepWiki by Cognition](https://openaitools.app/tool/deepwiki-by-congnition) | 879,539 | -3.1% | Free | AI-generated wikis and chat for any public GitHub repository | [.md](https://openaitools.app/tool/deepwiki-by-congnition.md) |
| 10 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE and coding agent that works on your project, not just your cursor | [.md](https://openaitools.app/tool/trae.md) |

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Source: https://openaitools.app/compare/augment-code-vs-folderer

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