Sprint Generation

AI Sprint Generation — From Idea to Tasks in Seconds

Stop writing tickets manually. Describe what you want to build in plain English and DevboardAI generates a complete sprint — tasks, priorities, dependencies, story points, and validation criteria.

Quick answer

AI sprint generation turns one plain-English description into a complete development sprint: tasks, priorities, story points, dependencies, and validation criteria. DevboardAI generates the sprint in seconds on your Mac, then runs it with Claude Code, OpenAI Codex, or Kimi for a one-time $24 license with a 7-day free trial.

How It Works

Describe It. Generate It. Ship It.

Write a description like “Build an authentication system with email/password login, Google OAuth, password reset, and session management.” DevboardAI breaks it into discrete tasks with everything the AI agent needs to execute them.

Natural Language In, Sprint Out

Describe what you want to build the way you'd explain it to a colleague. DevboardAI parses your description and generates a structured sprint with individual tasks.

Priorities & Story Points

Each generated task comes with a priority level and story point estimate based on the complexity AI infers from your description.

Dependencies Mapped Automatically

Tasks that depend on each other are linked automatically. The orchestrator respects this dependency graph when running your sprint.

Validation Criteria Included

Every task gets validation criteria — what needs to be true for the task to be considered done. The QA retry loop uses these criteria to verify AI output.

Review, Adjust, Import

Preview the generated sprint before importing. Add, remove, or edit tasks. Adjust priorities or reassign AI models. Then import to your Kanban board in one click.

Works With Any Stack

Sprint generation is stack-agnostic. Whether you're building a Next.js app, a Python API, or a mobile backend — describe the features and AI structures the work.

The Problem It Solves

Manual Ticket Creation Kills Momentum

Manual sprint planning is the overhead that stalls side projects: before any code gets written, a feature idea has to be broken into tasks, estimated, given acceptance criteria, and put in the right order. AI sprint generation eliminates that step, taking you from idea to actionable sprint in seconds instead of hours.

Frequently asked questions

What is AI sprint generation?

AI sprint generation is the process of turning a plain-English description of a feature into a complete, structured development sprint: individual tasks with priorities, story points, dependencies, and validation criteria. In DevboardAI, one description such as 'add Stripe checkout with a customer portal' becomes a ready-to-run sprint in seconds, replacing the manual ticket-writing that normally happens before any code is written.

How does DevboardAI generate a sprint from a description?

DevboardAI generates a sprint by parsing your plain-English description into discrete tasks, assigning each a priority level and story-point estimate, linking tasks that depend on each other, and attaching validation criteria that define when each task is done. You preview the result, add, remove, or edit tasks, reassign AI models, and import the sprint to the Kanban board in one click.

What does an AI-generated sprint include?

An AI-generated sprint in DevboardAI includes a list of tasks, a priority level and story-point estimate for each task, a dependency graph linking tasks that must run in order, validation criteria describing what must be true for a task to count as done, and an assigned AI model per task. The Orchestrator uses the dependency graph to run the sprint and the validation criteria to drive its QA retry loop.

How much does DevboardAI cost?

DevboardAI costs $24 as a one-time payment for a lifetime license, with no subscription and no recurring charges. Sprint generation, the Kanban board, and the Orchestrator are all included. A free 7-day trial of the full app is available, and every purchase has a 7-day money-back guarantee.

Which AI coding agents can run a generated sprint?

A sprint generated in DevboardAI can be run by Claude Code, OpenAI Codex, Kimi, or any other CLI-based coding agent installed on your Mac, and different tasks in the same sprint can use different agents. The Orchestrator runs independent tasks in parallel in separate git worktrees and retries failed tasks with the error fed back into the next attempt.

Does AI sprint generation work with any tech stack?

AI sprint generation in DevboardAI is stack-agnostic and works for any language or framework your coding agent supports, including Next.js, Python, Go, Rust, Rails, and mobile backends. The sprint describes the work; the agent that executes it handles the code, so the stack only needs to be one the agent can build in.

Turn Your Next Idea Into a Sprint

Describe it. Generate it. Let the orchestrator run it. One-time payment, lifetime access.