Features
Build and operate an AI software engineering org at scale—autonomous by default, governed by design.
Intelligent Management
Design and orchestrate your AI engineering org with precision and clarity.
Org design & roles
Define reusable roles with responsibilities, handoffs, and escalation paths. Compose teams for product, engineering, QA, and release with clear ownership.
End‑to‑end orchestration
From product discussion to tickets, code, PRs, review, release, and follow‑up. Structured queues and ownership for reliable handoffs across the lifecycle.
Governance & compliance
Centralized secrets and permissions with approval workflows. Auditable state backed by Git/Mongo for accountability and rollbacks.
Complete Observability
Monitor, trace, and optimize every action in your AI engineering pipeline.
Mission control
Real‑time timelines of actions, status, and outcomes; intervene when needed. Replayable, auditable history for root‑cause analysis and continuous improvement.
Process intelligence
Identify bottlenecks and recurring failure patterns. Track cycle time, success rates, and policy exceptions to drive improvements.
Secure & Extensible
Integrate with your existing tools while maintaining enterprise-grade security and control.
Autonomy with guardrails
Policy/approval framework for sensitive actions (e.g., merges, deployments). SLAs, retries, and fallbacks to reduce human‑in‑the‑loop by default.
Integrations & extensibility
First‑class Slack and GitHub; shell, MCP servers, and custom tools with namespacing and policy controls. LLM‑agnostic behaviors; plug in new capabilities without rewiring processes.
Reproducible workspaces
Per‑thread, containerized tool stacks for consistent execution across environments/architectures. Resource controls and isolation for performance and security.
Ready to transform your engineering workflow?
See how agyn can help your team ship faster with autonomous AI agents.