Define the target metric
Choose the engineering measure you want to improve and the team and historical period used for the baseline.
AI
AI-Powered Predictable Delivery
Gain a clear understanding of predicted delivery outcomes—whether optimistic or realistic—and understand what actions are needed to reach these targets.
Review forecast scenarios and their limits
Use predicted metric trends to guide planning while keeping assumptions transparent.
AI-Powered Predictability
Leverage AI to forecast delivery timelines with greater accuracy, get a clear view of predicted outcomes with easy-to-read graphs, and understand what actions are needed to reach optimistic or realistic targets.
Actionable Recommendations to Reach Your Goals
Get actionable insights on how to improve your team’s metrics. Use the Optimistic and Realistic prediction models to understand where your metrics are heading — and what steps you need to take to achieve your goals.
How it works · Data sources · Practical limitations
Use AI forecasts as scenarios, not delivery promises
Waydev AI Predictability can show optimistic and realistic target scenarios based on historical engineering metrics. Teams should verify assumptions and compare proposed changes with actual delivery outcomes.
Inspect scenario assumptions
Review projected values, suggested interventions and any metric or integration limitations before adopting a target.
Validate the forecast
Measure deviation between the prediction and subsequent outcomes and adjust the operating plan when the workflow changes.
Example evaluation
A team evaluates whether it can reduce a review bottleneck over the next sprint. An AI-proposed scenario is used for planning, not communicated as a guarantee of the release date.
Interpretation and limitations: The current product documentation identifies Claude Sonnet for AI Predictability and notes that model outputs can be wrong. Do not equate this feature with private Waydev Brain inference without technical verification.
Frequently asked questions
Are optimistic and realistic scenarios guaranteed?
No. They are model-generated projections for planning and require validation against observed engineering data.
Is all AI processing on premises?
Not by default. Review the documentation for each feature, model and deployment configuration.
See Waydev in action: AI delivery forecasting
Static product screenshots sourced exclusively from Waydev feature pages. Example interface data. AI-specific claims and outcomes should be evaluated against separate supporting evidence.
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