# Augment Code vs Pixee

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Pixee records 3,769 monthly visits with -37.3% growth and Paid, Contact for Pricing pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [Pixee](https://openaitools.app/tool/pixeebot) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://pixee.ai |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Code Assistant, AI Code Review, AI Developer Tools, AI Detector |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 326,215 | 3,769 |
| MoM Growth Rate | +24.1% | -37.3% |
| Primary Market | United States | United States |
| Direct Visits | 137,070 | 1,479 |
| Review Score | 4.5 | 4.2 |
| 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)

## Pixee

Pixee positions itself as a "secure software factory" rather than another detection tool. Most security stacks tell you what might be wrong; Pixee focuses on what is actually exploitable and then does something about it. It connects to your repositories, security policies, and architecture, builds a context graph of how your code really runs, and uses that context to score risk, prioritize findings, and author fixes that match your team's existing conventions.

The workflow runs in stages: map how your software executes, prove which findings are genuinely reachable and exploitable, generate fixes that pass CI before a PR is opened, and feed every decision back into a shared context graph. Pixee advertises a 76% merge rate for its change PRs and claims noise reduction of up to 95% by removing false positives before remediation work begins. It integrates with GitHub, GitLab, and compatible scanners such as Snyk, Semgrep, CodeQL, and Checkmarx.

Pixee's pricing philosophy is outcome-based: instead of charging per developer seat, it bills around vulnerabilities triaged and remediated, on the argument that traditional tools profit when backlogs grow. Enterprise options include self-hosted and air-gapped deployment, custom security policies, audit trails, SSO/SAML, and dedicated support. Exact figures require a custom quote from the vendor.

**Pricing & Plans:** Outcome-based pricing tied to triaged and resolved vulnerabilities, not per-seat. Public material indicates custom quotes, enterprise plans with self-hosted/air-gapped options, and backlog-specific onboarding packages; contact Pixee for a specific quote.

- **Automated triage & exploitability proof:** Pixee traces real execution paths to show whether a scanner finding is genuinely reachable and exploitable, filtering out a large share of false positives before any fixing starts.
- **Convention-aware fix generation:** Fixes are generated to match your codebase's patterns, classes, and policies, so changes look like your own engineers wrote them and pass CI before opening a pull request.
- **Broad scanner & SCM integration:** Connects with GitHub and GitLab and consumes findings from SAST and SCA tools including Snyk, Semgrep, CodeQL, Checkmarx, Dependabot, and GitLab Ultimate.
- **Shared context graph:** Every triage decision, fix, and design review feeds a persistent context graph, so reactive remediation and proactive design work continually sharpen each other.
- **Enterprise deployment controls:** Self-hosted and air-gapped deployment, custom security policies, compliance audit trails, SSO/SAML, and enterprise SLA options for regulated and security-sensitive organizations.

**Strengths:** Focuses on exploitable risk instead of raw finding counts, which reduces alert fatigue; Generated fixes are designed to match your own conventions and clear CI before review; Outcome-based pricing avoids per-seat costs as the engineering team grows; Self-hosted and air-gapped options suit regulated and high-security environments

**Limitations:** Pricing is quote-based, so costs are not transparent without talking to sales; Value depends on having existing scanners and clean code/test infrastructure in place; Automated fixes still require human review, so merge rate and trust take time to build

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

## Frequently Asked Questions

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

Augment Code has 326,215 monthly visits, while Pixee has 3,769. 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%; Pixee has -37.3%.

### 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. Pixee: Paid, Contact for Pricing. Outcome-based pricing tied to triaged and resolved vulnerabilities, not per-seat. Public material indicates custom quotes, enterprise plans with self-hosted/air-gapped options, and backlog-specific onboarding packages; contact Pixee for a specific quote.

## 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 | [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 | 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) |
| 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 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.md) |
| 10 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Provides a fast AI-native IDE experience with deep project understanding, but lacks advanced enterprise context engines. | [.md](https://openaitools.app/tool/trae.md) |

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

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