AGENA is an agentic AI platform that autonomously generates code, reviews quality, and creates pull requests. It runs a PM → Developer → Reviewer → Finalizer pipeline powered by pixel agent technology, turning your backlog into production-ready PRs in minutes.

Agentic AI refers to AI systems that can autonomously plan, execute, and adapt to achieve complex goals. Unlike simple AI assistants, agentic AI agents work independently through multi-step workflows — analyzing tasks, generating code, reviewing quality, and shipping features without constant human guidance.

What is pixel agent technology?

Pixel agent technology is AGENA's visual orchestration layer that represents each AI agent as an interactive pixel character. It provides real-time visibility into your autonomous AI workforce — showing which agents are active, what they're working on, and the progress of each task through the pipeline.

Which platforms does AGENA integrate with?

AGENA integrates with GitHub and Azure DevOps for PR automation, Jira for task import, Slack and Microsoft Teams for ChatOps notifications, and supports OpenAI and Google Gemini as LLM providers.

Is AGENA free to use?

Yes! AGENA offers a free tier with 5 tasks per month, token usage tracking, and community support. The Pro plan ($49/month) includes unlimited tasks, priority worker throughput, team invites, and billing via Stripe or Iyzico.

Is AGENA open source?

Yes, AGENA is fully open source under the MIT license. You can self-host it or use the managed platform. The source code is available on GitHub at github.com/aozyildirim/Agena.

How does AGENA compare to GitHub Copilot?

While GitHub Copilot suggests code line by line within your IDE, AGENA is a full agentic AI platform that takes a complete task and autonomously generates production code, reviews it, and creates a pull request. AGENA handles the entire workflow from backlog to PR.

Can AGENA work with my existing CI/CD pipeline?

Yes. AGENA creates standard pull requests on GitHub or Azure DevOps. Your existing CI/CD pipeline, code review process, and branch protection rules all work as normal with AI-generated PRs.

What programming languages does AGENA support?

AGENA supports all programming languages that the underlying LLM models support, including Python, JavaScript, TypeScript, Java, Go, Rust, C#, PHP, Ruby, and more. The AI agents analyze your existing codebase to match patterns and conventions.

How secure is AGENA with my source code?

AGENA never stores your source code. Repository access is scoped via OAuth tokens, code is processed in isolated sessions, and you can self-host for complete control. All data is organization-scoped with full tenant isolation.

AGENA vs CodeRabbit

One reviewer model is not enough.
Build your own reviewer personas.

Performance Reviewer with GPT-5-mini for speed. Security Reviewer with GPT-5-pro for paranoia. A11y Reviewer with a tight WCAG 2.2 prompt. Each persona, each model, each cost — your call.

Start free How AI review works →

FeatureAGENACodeRabbit

Reviewer modelYou pick — GPT-5, Claude, Gemini, or self-hosted endpoint per agent.Fixed CodeRabbit model. No choice.

Custom reviewer personasDefine any number — Performance, A11y, SQL Style Cop, Security. Each with its own prompt + model.Single reviewer with limited config.

OWASP-aware reviewerBuilt-in security_developer agent ships with paranoid OWASP Top 10 prompt.Generic review only.

Reporter / tag based routingIntegration Rules auto-route security tickets to the security reviewer, frontend tickets to the A11y reviewer, etc.No source-aware routing.

Source — auto-importSentry, Jira, Azure DevOps, New Relic, Datadog, AppDynamics — all reviewed automatically when imported as tasks.Triggered by PR open only.

Severity scoring0-100 confidence + critical/high/medium/low/clean severity per review.Comments only.

Per-agent audit historyEach reviewer agent has full review history with severity distribution and avg score.Org-level analytics, not per-persona.

Bring your own LLMYes — your OpenAI / Anthropic / Google key. Cost is yours, you control limits.CodeRabbit-hosted model, billed per review.

Self-hostableYes — Docker Compose, fully air-gapped operation supported.No — SaaS only.

Open sourceYes.No — proprietary.

PricingFree tier + BYO LLM. Pro at $49/mo per workspace.$15-30/dev/mo.

Frequently asked

Does AGENA do PR comment threading like CodeRabbit?

AGENA writes the structured review (Summary, Findings, Severity, Score) into the PR description and posts a comment with the per-finding breakdown. We do not yet thread per-line comments inline on the diff (on the roadmap). For now, each finding cites file:line so reviewers can click through.

Can I run different reviewers on different repos?

Yes — the reviewer agent is picked per task / per Integration Rule. You can have a Performance Reviewer fire on backend repos and an A11y Reviewer fire on frontend repos, with a single security_developer agent gating all security-tagged tasks.

How does cost compare?

AGENA is BYO LLM, so the variable cost is whatever your provider charges per review. A typical review on GPT-5-mini is $0.01-0.05; on GPT-5 it’s $0.15-0.40. CodeRabbit at $24/dev/mo for unlimited reviews is competitive at high review volume; AGENA wins at lower volume or when you want to control which model runs.

Is the security reviewer really OWASP-aware?

The system prompt explicitly enumerates the OWASP Top 10 (A01-A10) and asks the model to map each finding to the relevant category. It’s tuned to be paranoid — treats every input as malicious, traces data flow, and outputs threat model + fix plan + residual risk. You can edit the prompt in [Prompt Studio](/dashboard/prompts) and roll back to previous versions if a tweak degrades quality.

🔎AI Code Review

OWASP-aware reviewer agents on every pull request

🧠Cross-Source Insights

"Which deploy caused this bug?" answered in 5 seconds

🚨Sentry AI Auto-Fix

Sentry production errors → merged AI pull request in 12 minutes