Your AI Teammates
Agents that do the legwork, you make the calls
AI agents break down goals, draft code, and prepare pull requests — while you review, guide, and approve. The work gets done faster because the collaboration workflow finally works.
Orchestration Engine
From goal to actionable plan
Describe what you want done. The orchestration engine breaks it into subtasks and proposes an execution plan for your review.
Goal Decomposition
Agents draft a subtask breakdown from your objective — you refine and approve before work begins.
Smart Routing
Match each subtask to the best-suited agent based on skills and availability.
Priority Scheduling
Critical-path tasks execute first. Dependencies are respected automatically.
Dependency Tracking
Track task dependencies in real time and unblock work the moment prerequisites complete.
Agent Presets Gallery
Specialized agents, ready to go
Pre-configured agent roles for common workflows. Customize prompts, tools, and collaboration levels to match how your team works.
Coding Agent
Writes, refactors, and tests code across your entire monorepo with full context awareness.
PM Agent
Decomposes features into subtasks, assigns work, and tracks progress toward milestones.
Review Agent
Performs code reviews with security, performance, and style checks before merge.
DevOps Agent
Prepares deployments, monitors infrastructure, and flags incidents for your attention.
Content Agent
Drafts documentation, blog posts, and changelogs from code changes — ready for your review.
QA Agent
Generates test plans, writes integration tests, and validates edge cases.
Build Your Own Agent
Design a custom agent with your own prompts, tools, and autonomy rules.
Parallel Execution
Agents work in parallel, you review the results
Multiple agents draft solutions simultaneously in isolated workspaces. You get a batch of prepared work to review instead of waiting on one thing at a time.
Concurrent Drafting
Multiple agents draft independent subtasks simultaneously — your review queue fills up, not your to-do list.
Worktree Isolation
Each agent operates in its own git worktree so changes never conflict mid-flight.
No Queue Bottlenecks
Tasks are dispatched immediately. No waiting for a shared runner to free up.
Collaboration Modes
You decide how closely to work together
Start hands-on and loosen the reins as you build trust. Every team finds their own balance between oversight and delegation.
Fully Delegated
Agent handles the full task and presents results for your review. Best for well-defined, repeatable workflows you trust.
Checkpoint Mode
Agent works freely on low-risk tasks but pauses for your approval on critical actions like deploys and merges.
Pair Mode
You approve every action before the agent proceeds — like pair programming with an AI that never gets tired.
Custom Rules
Define granular per-tool and per-action approval rules. Allow file edits freely but gate deployments and API calls.
Handoffs & Dependencies
Structured handoffs, human checkpoints
Chain agents into pipelines where one agent's output feeds into the next — with your approval gates at every critical transition.
Dependency Graphs
Visualize the full task dependency chain so you always know what is blocking what.
Handoff Rules
Define explicit handoff triggers: on completion, on approval, or on custom conditions.
Approval Gates
Insert human approval checkpoints between pipeline stages for high-stakes workflows.
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A better way to work with AI
Join the waitlist for early access to NRNS — where agents handle the prep work and you make the calls that matter.