What problem does it solve?
Eliminates guesswork and inconsistent planning by producing structured, evidence-based effort estimates that account for complexity, dependencies, historical velocity, and risk factors so teams can plan sprints and allocate budget with confidence.
Core Features & Use Cases
- Analyze task descriptions and scan affected code to assess size, coupling, and integration points.
- Correlate historical sprint velocity and past similar tasks to produce optimistic, expected, and pessimistic time ranges with a confidence level.
- Identify key risks, required tests, migration needs, and recommend spikes or story breakdowns when uncertainty is high.
- Use case: Turning a feature request or bug ticket into a quantified estimate for sprint planning and stakeholder prioritization.
Quick Start
Estimate the effort for "Implement multiplayer lobby" including complexity, affected files, required tests, optimistic/expected/pessimistic days, confidence, and the single biggest risk.