
The AI coding agent for building ambitious software
Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Sonarly records 0 monthly visits with 0% growth and Freemium pricing.

Your software fixes itself
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | augmentcode.com | sonarly.com |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Freemium |
| Monthly Visits | 326.22K (326,215) | 0 (0) |
| MoM Traffic Delta |
|---|
| +63.41K (+24.1%) |
| 0 (0%) |
| Primary Market & Share | 🇺🇸 United States (26.3%) | 🌐 Global (—) |
|---|
| Direct Visits / mo | 137.07K | 0 |
|---|
| User Rating | 4.5 | 4.6 |
|---|
| Supported Platforms | Website | Website |
|---|

Agent orchestration platform for your whole software development lifecycle
Indexes architecture, dependencies and conventions across large repositories so generated code and reviews match how your team actually writes software.
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.
Work pauses at defined checkpoints so engineers approve plans and consequential actions instead of letting agents ship unreviewed changes.
Execute agents in managed cloud sandboxes, on local machines and dev VMs for sensitive code, or in your own AWS and GCP environments.

Your software fixes itself
Sonarly assign responsibility, ranks severity, and collapses repeated notifications, so teams only see the alerts that actually need attention.
Post the analysis in your Slack or Discord alert channel, in-thread, with the right owner tagged — no more switching tools mid-incident.
Sonarly investigates your code, queries your logs, and traces the fault across services to produce evidence-backed root causes rather than guesses.
Connect Sentry, Datadog, Grafana, GitHub, Slack, Discord, Linear and 30+ more tools in one click to give the agent full production context.

The AI coding agent for building ambitious software
Google's agent-first development platform for building and shipping software with AI agents


Streamlines cloud-based full-stack app building and deployment from natural language, but less tailored for large legacy enterprise repos.

Integrates directly into VS Code as a daily coding editor, but lacks enterprise-wide multi-agent SDLC orchestration.
Focuses on spec-driven engineering and automated verification from AWS, whereas Augment targets broader multi-agent SDLC automation.
Cognition's autonomous software engineer that ships real pull requests

The coding agent that learns your coding taste
Free / Open-sourceProvides an open-source agent development environment running parallel CLI coding agents, but requires manual configuration and setup.

GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language

All-in-one AppSec platform that finds and auto-fixes vulnerabilities
SpecialistAn AI IDE and coding agent that works on your project, not just your cursor

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
The AI coding agent for building ambitious software
Google's agent-first development platform for building and shipping software with AI agents
Streamlines cloud-based full-stack app building and deployment from natural language, but less tailored for large legacy enterprise repos.
Integrates directly into VS Code as a daily coding editor, but lacks enterprise-wide multi-agent SDLC orchestration.
Focuses on spec-driven engineering and automated verification from AWS, whereas Augment targets broader multi-agent SDLC automation.
The coding agent that learns your coding taste
Free / Open-sourceProvides an open-source agent development environment running parallel CLI coding agents, but requires manual configuration and setup.
All-in-one AppSec platform that finds and auto-fixes vulnerabilities
SpecialistAn AI IDE and coding agent that works on your project, not just your cursor
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI