Waydev
Waydev is a software engineering intelligence platform that uses AI to turn signals from Git repos, ticketing tools, CI/CD pipelines and calendars into clear productivity and delivery insights. It brings together delivery metrics, developer experience data and AI usage telemetry so leaders can see how engineering work, AI agents and business outcomes relate, all in one place.
Make a decision about Waydev
- Already use it? Add Waydev to Stack Autopsy — check cost, overlap and safe cancellations.
- Thinking about buying it? Ask AI Advisor — compare fit, alternatives and trade-offs.
- Want to leave it? Find a replacement — see feature losses and migration risks.
Pricing
- Pro : Pricing information is unavailable; billed annually per active contributor, includes 30 repositories and 3 months of data availability.
- Premium : Pricing information is unavailable; billed annually per active contributor, includes 100 repositories and 12 months of data availability.
- Enterprise : Pricing information is unavailable; custom quote with unlimited repositories and unlimited data availability.
Features
- AI Adoption, Impact and ROI: Tracks how generative AI tools and agents are used across teams, measures tokens and spend, and connects that usage to delivery outcomes and value created.
- Waydev Agent and AI Coach: Natural-language assistant that answers questions about delivery, costs, team performance and AI impact, paired with an AI Coach that surfaces concrete recommendations and next steps.
- DORA and SPACE-based metrics: Out-of-the-box views for cycle time, deployment frequency, change failure rate, coding days and other delivery and productivity indicators, grounded in widely adopted engineering metrics models.
- Delivery, Health and Planning modules: Delivery reports for cycle time and sprint progress, Health views for PR quality and review collaboration, and Planning views for roadmap progress, risk and predictability.
- Developer Experience (DX) module: Pulse surveys sent via Slack or Teams plus analytics that reveal sentiment, friction and blockers, helping managers connect human signals to hard metrics.
- Resource Planning and Cost Capitalization: High-level views of where engineering time goes, how much initiatives cost, and which work can be capitalized for finance and tax reporting.
Use cases
- C-level technology leaders (CTO, VP Engineering): Using Waydev to connect engineering throughput, reliability and AI investments to strategic business KPIs.
- Engineering managers and team leads: Monitoring cycle time, PR health, sprint execution and AI adoption across squads to spot bottlenecks early.
- Product and program leaders: Tracking roadmap progress, delivery risk and feature throughput so product plans line up with actual capacity.
- FinOps and finance teams: Mapping engineering effort to project costs, R&D capitalization and budget planning with less manual reconciliation.
- Uncommon Use Cases: Used by internal developer productivity groups as a central telemetry layer across multiple AI coding tools; adopted by people-ops or HR analytics teams to correlate developer experience data with retention and engagement patterns.