# Augment Code vs Qodo (formerly CodiumAI)

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Qodo (formerly CodiumAI) records 0 monthly visits with -100% growth and Freemium pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [Qodo (formerly CodiumAI)](https://openaitools.app/tool/codiumai) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://www.qodo.ai |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Agent, AI Code Generator, AI Code Review, AI Testing |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Freemium |
| Monthly Visits | 326,215 | 0 |
| MoM Growth Rate | +24.1% | -100% |
| Primary Market | United States | Global |
| Direct Visits | 137,070 | 0 |
| Review Score | 4.5 | 4.6 |
| Saved Count | 0 | 3 |
| 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)

## Qodo (formerly CodiumAI)

Qodo is the current name of the company and product that launched as CodiumAI. Visitors to codium.ai are redirected to qodo.ai, where the platform is now positioned as an AI code review and software-quality governance layer for agent-heavy engineering organizations. Rather than a single review bot, Qodo combines specialized review agents, a context engine that indexes your codebase, PR diffs/comments and business requirements, and a rules system that turns tribal conventions into machine-enforceable standards.

Practically, the platform works in several places at once: on GitHub/GitLab pull requests, inside the IDE through review skills and local workflows, from the command line through an agentic quality toolbox that pairs with coding agents such as Codex, Claude and Kiro, and in a governance dashboard with risk intelligence, audit trail and cross-repo software mapping. The pitch is that review should keep pace with AI-generated code, so review-and-fix loops run inside the agent workflow instead of becoming a late bottleneck.

Qodo sells primarily to teams. There is a 14-day free trial with unlimited repositories and users, a Pro Team plan billed monthly with a shared credit pool, and a custom Enterprise tier that adds SSO/SAML, on-prem or single-tenant deployment, BYOK, audit logs and a dedicated CSM. The company states it does not train models on customer code, and free access is available for qualified open source projects.

**Pricing & Plans:** Freemium-style trial plus paid team plans: a 14-day free trial (no credit card) with unlimited repos, users and reviews; Pro Team at about $30/user/month with a shared credit pool metered at roughly $0.015 per credit and overage at the same rate under a monthly cap; custom Enterprise pricing for 30+ users with SSO, on-prem/BYOK and priority support. Free access is available for qualified open source projects. Confirm current rates on the official pricing page.

- **Agentic multi-agent PR review:** Specialized review agents run on every pull request with full codebase context, surfacing real bugs, rule violations and requirement gaps while filtering out noise.
- **Context engine (Wisdom Base):** Indexes repository structure and dependencies, past PR diffs, comments and discussions, plus tickets and specs, so reviews reflect how your system actually works.
- **Rules and Skills lifecycle:** Self-learns conventions and architectural decisions from your code and PR history, converts them into enforceable rules, and monitors rule health and enforcement over time.
- **IDE, CLI and Git integrations:** Review runs inside the developer's editor and coding agent as well as in Git workflows, so issues are caught and fixed before merge rather than after.
- **Governance and risk dashboard:** Centralized visibility into findings, resolution rates, risk concentration and repository relationships, with an audit trail for traceability across teams.

**Strengths:** Deep codebase, PR-history and ticket context reduces false positives compared with generic linters or LLM-only reviewers; Works across PRs, IDE, CLI and AI coding agents instead of being a single-surface review bot; Rules system operationalizes internal standards and continuously measures whether they are actually followed; Enterprise options cover SSO/SAML, on-prem or single-tenant deployment, BYOK and audit logs

**Limitations:** No permanent free tier — after the 14-day trial you must choose a paid plan (open source program aside); Credit-based metering can be hard to forecast for teams with bursty or very large pull requests; Some of the most governance-heavy capabilities are reserved for Enterprise pricing

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

## Frequently Asked Questions

### How do Augment Code and Qodo (formerly CodiumAI) compare in monthly traffic?

Augment Code has 326,215 monthly visits, while Qodo (formerly CodiumAI) has 0. 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%; Qodo (formerly CodiumAI) has -100%.

### 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. Qodo (formerly CodiumAI): Freemium. Freemium-style trial plus paid team plans: a 14-day free trial (no credit card) with unlimited repos, users and reviews; Pro Team at about $30/user/month with a shared credit pool metered at roughly $0.015 per credit and overage at the same rate under a monthly cap; custom Enterprise pricing for 30+ users with SSO, on-prem/BYOK and priority support. Free access is available for qualified open source projects. Confirm current rates on the official pricing page.

## 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 | Streamlines cloud-based full-stack app building and deployment from natural language, but less tailored for large legacy enterprise repos. | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Write code with precision, hand bigger jobs to agents, and keep working from anywhere | [.md](https://openaitools.app/tool/vs-code.md) |
| 4 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | An agentic coding platform that ships real software | [.md](https://openaitools.app/tool/qoder.md) |
| 5 | [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) |
| 6 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and automated verification from AWS, whereas Augment targets broader multi-agent SDLC automation. | [.md](https://openaitools.app/tool/kiro.md) |
| 7 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer tackling complex tickets independently, whereas Augment focuses on developer-in-the-loop workflows. | [.md](https://openaitools.app/tool/devin.md) |
| 8 | [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) |
| 9 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | A minimal, extensible terminal coding agent you can reshape | [.md](https://openaitools.app/tool/pi-coding-agent.md) |
| 10 | [CodeRabbit](https://openaitools.app/tool/coderabbit) | 1,048,880 | +4.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI code review, PR triage, and security monitoring for fast-moving teams | [.md](https://openaitools.app/tool/coderabbit.md) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)