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 Sentry Seer

Seer suggests fixes inside Sentry.
AGENA actually opens the pull request.

Open-source, self-hostable, BYO LLM key. Same Sentry-to-fix loop, but it ends with a merged PR on GitHub or Azure DevOps and an auto-resolved Sentry issue — not an inline suggestion.

Start free See the Sentry flow →

FeatureAGENASentry Seer

What it doesImports Sentry issues, runs an AI agent pipeline, opens a PR on GitHub / Azure DevOps, and auto-resolves the Sentry issue on merge.Suggests inline code fixes within the Sentry UI. The user copies the patch into their editor or commits via Sentry’s GitHub app.

Pull request creationYes — PR opened with the patch, AI review, and a backlink to the Sentry issue.Limited — GitHub PR via Sentry app, no Azure DevOps PR creation, no AI review attached.

OWASP-aware reviewerBuilt-in security_developer agent runs paranoid review with threat model + fix plan + residual risk note.No dedicated security review persona.

Custom reviewer agentsDefine your own personas (Performance Reviewer, A11y Reviewer, SQL Style Cop) with their own prompts and models.Single fixed reviewer model.

Multi-repo orchestrationOne Sentry issue can fan out to multiple repos with per-repo PRs.Single-repo only.

Integration RulesAuto-route Sentry issues by tag, environment, project, or reporter to specific reviewer agents.Static config per project.

Bring your own LLMOpenAI, Anthropic, Google, or self-hosted endpoint. Cost is yours.Sentry-hosted model. Cost included in plan.

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

Open sourceYes.No — proprietary feature inside Sentry.

PricingFree tier (5,000 imports/mo). BYO LLM key. Pro at $49/mo.Bundled with Sentry Business / Team plans, billed per usage event.

Frequently asked

Is AGENA a Sentry replacement?

No — AGENA does not capture or store errors. You keep using Sentry as your error monitor; AGENA reads Sentry issues via API and turns them into pull requests. Think of AGENA as the layer that takes a Sentry issue and ships a fix.

Why not just use Seer?

Seer is great for inline fix suggestions, but the loop ends inside Sentry. AGENA closes the loop end-to-end: imports the issue, runs an OWASP-aware reviewer, opens the PR, posts a comment back on Sentry, and resolves the Sentry issue when the PR merges. The cycle from alert to merged PR runs in 8–15 minutes with zero human keystrokes.

Can I use both?

Yes — they are complementary. We surface Seer’s fixability score on each Sentry issue card so you can scan which issues to auto-fix vs. flag for human review. Seer’s in-Sentry suggestions still work for cases where AGENA isn’t involved.

Does AGENA need access to my source code?

Only the diff and ±5 lines of context for the file:line in the stack trace. You can self-host AGENA fully air-gapped — the only network egress is to Sentry, your VCS, and your chosen LLM provider.

🚨Sentry AI Auto-Fix

Sentry production errors → merged AI pull request in 12 minutes

🧠Cross-Source Insights

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

🔎AI Code Review

OWASP-aware reviewer agents on every pull request