Project Planning

AI-powered project planning

Create structured plans, break work into tasks, and orchestrate AI agents to implement them -- all in one workspace. Plan the work, then watch agents execute it.

AI-powered project planning

The Problem

Planning and execution live in different tools

Project planning tools like Linear, Jira, and Notion are disconnected from where work actually happens. The gap between plan and execution creates overhead.

  • Plans live in one tool, code lives in another -- constant context switching
  • Task descriptions lose context by the time a developer (or agent) picks them up
  • No way to see implementation progress alongside the plan in real time
  • Sprint planning takes hours of manual ticket writing and estimation

How It Works

Plan, assign to agents, and track progress

Create structured plans
1

Create structured plans

Use Nimbalyst's plan mode to break features into structured implementation plans with architecture decisions, file-by-file changes, and acceptance criteria.

Assign work to agents
2

Assign work to agents

Launch AI agent sessions for each task. The session kanban shows every active agent, what it's working on, and its current status.

Track everything
3

Track everything

Bugs, tasks, ideas, and decisions are tracked in markdown with tags, status, and links to sessions. Your agent updates tracker items as work progresses.

The Difference

From separate tools to one workflow

Without Nimbalyst

  • Write tickets in Jira, discuss in Slack, code in VS Code
  • Plans lose context as they move between tools
  • Manual status updates that nobody remembers to make
  • No visibility into what agents are actually doing

With Nimbalyst

  • Plan, assign, and track in the same workspace where agents work
  • Plans include full implementation context and file references
  • Agent sessions auto-update progress as work is completed
  • Session kanban shows real-time status of all active agents

Nimbalyst is the visual workspace for building with Claude Code and Codex