Turn any feature into an execution plan
Runstream thinks like a senior tech lead. It takes your feature definition (or PRD, spec, doc, mockup) and produces a structured execution plan: tasks broken down, dependencies mapped, streams assigned, and sequencing determined. Ready for parallel execution.
The planning module that actually understands your codebase.
Intelligent Task Breakdown
Give Runstream a feature spec, a PRD, a design doc, or even a rough description. It explores your codebase, identifies relevant patterns and existing code, and breaks the work into concrete tasks with clear acceptance criteria. Not generic subtasks — real engineering work scoped to your specific codebase.
Dependency Mapping
Runstream understands what depends on what. Database schema changes before API endpoints. API endpoints before frontend components. Shared utilities before the features that use them. It sequences automatically — so no one builds on something that doesn't exist yet.
Multi-Stream Architecture
Work that can happen in parallel gets assigned to separate execution streams. Frontend and backend progress simultaneously. Independent integrations don't block each other. Runstream identifies the critical path and optimizes for maximum parallelism without conflicts.
Codebase-Aware Planning
The planning agent doesn't just guess. It explores your actual repository: file structure, existing patterns, test coverage, related features, and potential risks. Plans are grounded in what your code actually looks like — not what a generic template assumes.
Clarifying Questions
When something is ambiguous, Runstream asks. It identifies gaps in the spec, unclear requirements, missing edge cases, and architectural decisions that need human input. Better to surface these questions during planning than during a 3 AM production incident.
From spec to execution plan in minutes, not meetings.
Example: “Add magic link authentication to replace password-based login”
Ingest the Spec
You provide: a PRD, a Notion doc, a Figma link, a conversation with AI, or a plain text description. Runstream also ingests the relevant parts of your codebase, existing auth implementation, database schema, and test suite.
Research Phase
Runstream's planning agent explores your codebase: identifies your current patterns, finds related code, assesses test coverage for affected areas, and notes risks.
- •Identifies current patterns and session management
- •Finds related code (email service, token generation)
- •Assesses test coverage for affected areas
- •Notes risks: "Current middleware assumes password hash exists"
Ask Clarifying Questions
Before planning, Runstream surfaces what's unclear. You answer. These answers become constraints in the plan.
- •"Should magic links expire after one use or have a time window?"
- •"Do existing password users need a migration path?"
- •"Should this work with your existing rate limiter?"
Generate the Execution Plan
Runstream produces a structured plan with tasks, dependencies, and parallel stream assignments.
Review and Approve
You review the plan. Adjust tasks. Add constraints. Remove scope. Once approved, the plan is ready for the execution engine.
Generated Execution Plan
- Task 1.1: Create magic link token model and database migration
- Task 1.2: Build token generation and validation service
- Task 1.3: Create magic link email endpoint (depends on 1.1, 1.2)
- Task 1.4: Update session middleware (depends on 1.2)
- Task 2.1: Build magic link request form component
- Task 2.2: Build magic link verification page (depends on 1.3)
- Task 2.3: Update login flow to offer magic link option
- Task 3.1: Configure email service for magic link delivery
- Task 3.2: Set up rate limiting for magic link requests
Not tickets. Not Jira stories. An execution architecture.
| Generic AI Task Generation | Runstream Planning |
|---|---|
| "Create login form" — no context | Task scoped to your component library and design system |
| Flat list of subtasks | Dependency graph with sequencing and parallel streams |
| Doesn't know your codebase | Explored your repo, found existing patterns, noted risks |
| No clarifying questions | Surfaces ambiguity before planning begins |
| No acceptance criteria | Every task has clear acceptance criteria tied to the spec |
| Disconnected from execution | Plan flows directly into parallel agent execution |
Runstream plans like the best tech lead on your team — one who has read every file in the repo and never forgets a dependency.
Every task knows why it exists.
When Discovery surfaces an opportunity backed by 23 customer tickets and a 42% drop-off rate, that context doesn't vanish when planning starts.
Every task in the execution plan links back to:
- The original customer evidence
- The opportunity's confidence score
- The feature definition's success criteria
- The constraints the PM specified
When an engineer picks up a task — or when an AI agent starts executing — the full “why” is right there. No guessing. No re-asking. No “wait, why are we building this?”