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.
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.
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.
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.
Each generated task comes with a priority level and story point estimate based on the complexity AI infers from your description.
Tasks that depend on each other are linked automatically. The orchestrator respects this dependency graph when running your sprint.
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.
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.
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.
You have a feature idea. Before any code gets written, you need to break it into tasks, estimate effort, define acceptance criteria, and figure out the right order. That planning overhead is why side projects stall. AI sprint generation eliminates it — go from idea to actionable sprint in seconds, not hours.
Describe it. Generate it. Let the orchestrator run it. One-time payment, lifetime access.