DevAssure O2

🅰Autonoma

Two AI testing agents.
Different tradeoffs.

An honest, technical comparison to help your engineering team choose the right autonomous testing approach for how you actually ship code.

Last updated: May 2026

See full comparison ↓Try DevAssure free

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Both DevAssure and Autonoma use AI to generate and run E2E tests automatically.
The difference is how you get started and what you manage. DevAssure is a GitHub Action you add in 2 minutes — no infrastructure to provision, no self-hosting.
Autonoma is an open-source platform you deploy on your own cloud (AWS, GCP, Azure). If you want zero-ops testing in your existing CI, DevAssure fits. If you want full control over the AI pipeline and are comfortable managing Kubernetes, Autonoma fits.

Feature-by-feature

Side-by-side comparison.

The facts, without the marketing spin.

Criteria	DevAssure O2	🅰Autonoma
Setup time	~2 min — Add a GitHub Action YAML file	30–60 min — Deploy on ECS, EKS, GKE, or VMs
Infrastructure	Fully managed. Runs inside GitHub Actions runners. Nothing to host.	Self-hosted. You provision and maintain the infrastructure.
CI/CD integration	Native GitHub Action on Marketplace. Also CLI + VS Code.	CI integration via CLI. No native GitHub Action on Marketplace.
How tests are created	Auto-generated from code diffs + plain English YAML definitions	Auto-generated from codebase via Planner agent. No manual input.
Test execution	Real headless browsers in your CI. Self-healing selectors.	Vision-based execution. Self-healing via visual matching.
Change awareness	✓ Scoped to code diff — tests only what changed	✓ Codebase-connected — generates from repo context
IDE support	✓ VS Code extension + Cursor + Claude skill	✕ No IDE extension
Open source	✕ Proprietary (SOC2 certified)	✓ BSL 1.1 on GitHub (Apache 2.0 in 2028)
Security compliance	SOC2 certified. Enterprise-ready.	Self-hosted = your security perimeter. No third-party cert.
Enterprise customers	Nokia, BankBazaar, Coverfox, Fi Money, Attentive + 25 more	Earlier stage. Customer list not publicly documented.
Pricing	Free trial → $50/mo → $200/mo → Enterprise	Free self-hosted → $499/mo cloud
Test output	Human-readable reports with confidence scores + session replays	Playwright-compatible test code + execution reports

What matters most

The tradeoffs that actually affect your team.

Getting started: 2 minutes vs. an afternoon

DevAssure

Add devassure/devassure-action@v1 to your workflow YAML, store your token as a GitHub Secret, push. That's the entire setup. No Docker containers, no Kubernetes, no cloud provisioning. The agent runs inside your existing GitHub Actions runners.

Autonoma

Deploy the platform on AWS (ECS, EKS, or EC2), GCP (GKE or Compute Engine), Azure (AKS or VMs), or your own data center. You manage the Planner, Automator, and Maintainer agents as services. Setup requires DevOps familiarity.

Infrastructure ownership vs. zero ops

DevAssure

You don't manage anything. The agent runs as a step in your CI pipeline — same as running npm test or eslint. No servers to scale, no containers to update, no browser farm to maintain.

Autonoma

You own the full stack. This means complete visibility into the AI pipeline, full data control, and no vendor dependency. It also means you're responsible for uptime, scaling, and security patching. For teams with strong platform engineering, this is a feature.

Security and compliance

DevAssure

SOC2 Type II certified. Code analysis happens in your CI environment. 30+ enterprise customers running production workloads. If your team needs to check a compliance box for vendor security, this is done.

Autonoma

Self-hosted means your code never leaves your infrastructure — the strongest possible data control. No third-party security certification, but for some teams, "it runs in our VPC" is the certification.

How the AI works differently

DevAssure

O2 starts from the code diff. It compares branches, maps which user journeys are affected, then generates and runs targeted tests for those flows. You can also define tests in plain English YAML. Self-healing handles UI drift.

Autonoma

The Planner agent analyzes the full codebase to derive coverage. The Automator uses vision-based execution rather than DOM selectors. The Maintainer auto-heals tests. No human-authored test descriptions at all — pure zero-touch.

Setup side by side

What each approach actually looks like.

DevAssure — GitHub Actions

.github/workflows/devassure.yml

name: DevAssure O2
on:
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0
      - uses: devassure/devassure-action@v1
        env:
          DEVASSURE_TOKEN: ${{ secrets.DEVASSURE_TOKEN }}

# That's it. O2 handles everything.

Autonoma — Self-hosted setup

terminal

# 1. Clone the repo
git clone github.com/autonoma-ai/autonoma

# 2. Configure environment
cp .env.example .env
# Edit: DB, LLM keys, browser config...

# 3. Deploy to your cloud
docker-compose up -d
# Or: helm install autonoma ./charts

# 4. Connect your repo
autonoma connect --repo your/repo

# 5. Point to staging
autonoma scan --url staging.example.com

# Manage infrastructure ongoing

Our honest take

Choose what fits how you work.

There's no universally “better” tool. Here's when each makes sense.

🟣 Pick DevAssure when

You want automated E2E testing on every PR without managing infrastructure
Your team uses GitHub Actions and wants a native integration
You need SOC2 compliance and enterprise-grade security out of the box
You want to start testing today, not after a DevOps sprint
You're a small team (5–50 devs) without a dedicated platform engineering function
You want IDE support (VS Code, Cursor) alongside CI

🟢 Pick Autonoma when

You need full control over the testing pipeline and AI models
Data sovereignty requires everything to run in your own VPC
You have a platform engineering team that can manage the infrastructure
You want open-source transparency into how tests are generated
You prefer Playwright-compatible code output over plain-English YAML
You're evaluating long-term cost at high scale with self-hosting

Common questions

What teams ask when evaluating.

Autonoma's self-hosted version is free (BSL 1.1 license, converting to Apache 2.0 in 2028). However, you pay for the cloud infrastructure to run it (compute, storage, browser instances) plus LLM API costs. Their managed cloud version is $499/month. DevAssure offers a free trial with ~20 test executions/month, with paid plans starting at $50/month — including infrastructure.

Yes. Both tools generate tests from your codebase, so there's no legacy test suite to port. Point DevAssure at your repo and it generates fresh tests from your code diffs. You can run both in parallel during evaluation.

DevAssure tests are defined in plain English YAML and generated dynamically. There's no proprietary test code to get locked into. If you stop using DevAssure, you remove the GitHub Action — your codebase is unchanged. Test reports and session data can be exported.

DevAssure is SOC2 Type II certified. Code analysis runs within your GitHub Actions environment. We don't store your source code. For enterprise requirements including dedicated LLM deployments and custom data handling, contact sales.

Both are designed for the AI coding era. DevAssure's diff-based approach is particularly suited to high-frequency PRs from vibe coding — it scopes tests to exactly what changed, which keeps feedback fast. Autonoma's full-codebase scan is broader but takes longer per run. For teams shipping 10+ PRs per day via AI coding tools, scoped execution matters.

Get started

Test every PR in 2 minutes.
No infrastructure required.

Works with your existing GitHub workflow.
Free trial. No credit card.

Two AI testing agents.Different tradeoffs.

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