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Waydev AI

Waydev AI

Waydev AI, the ChatGPT for Engineering Intelligence

Overview

What it is

Waydev is the measurement layer for AI-written code. We track AI adoption, AI impact, and AI ROI across the full SDLC — from the first token consumed to the line shipped in production. Nine years building engineering intelligence. YC W21. Fortune 500.

Intent

I need it when

Measure and optimize engineering team productivity using DORA metrics and SPACE framework

Waydev provides DORA Metrics, Cycle Time, Velocity Reports, and SPACE Framework analysis to track software delivery performance, cycle time from commit to production, and sprint progress. Engineering leaders gain data-driven visibility into delivery speed and quality to identify bottlenecks and optimize SDLC processes.

Improve developer experience and identify team morale and retention risks

Waydev's Developer Experience (DX) module sends surveys via Slack or Teams to capture team sentiment, frustrations, and blockers. Combined with Benchmark and Hygiene features, leaders identify challenges contributors face and correlate them with productivity metrics to enhance retention and culture.

Align engineering work with business objectives and resource allocation

Waydev's Resource Planning, Project Costs, Resource Allocation, and Cost Capitalization features provide visibility into how engineering effort maps to business initiatives. Leaders can track project costs, optimize headcount allocation, and generate executive reports that connect engineering output to strategic goals and ROI.

Create custom dashboards and reports tailored to organizational KPIs

Waydev's Studio module enables custom dashboards, custom metrics using formulas, and complex custom reports. Leaders can build personalized views of any Waydev metric, set automatic targets, and receive notifications when teams reach key milestones aligned to company-specific success criteria.

Track AI tool adoption and ROI across the engineering organization

Waydev's AI Adoption, AI Impact, and AI ROI modules track usage of Copilot, Cursor, Claude Code, and other AI tools by team and individual. Leaders can benchmark AI vendor performance, measure code-to-production metrics for AI-assisted work, and connect license spend to engineering output to justify AI tool investments.

Drop

Not a fit when

  • Organizations with fewer than 10 engineers or very small teams that do not require enterprise-scale productivity analytics
  • Teams not using Git-based workflows, GitHub, GitLab, or other supported version control systems that Waydev integrates with
  • Companies seeking real-time code completion or IDE-embedded AI coding assistance rather than post-hoc productivity measurement
  • Organizations without CI/CD pipelines, ticketing systems, or development toolchains that Waydev can connect to for data collection
  • Teams prioritizing individual contributor privacy over organizational-level engineering metrics and performance visibility
Commercials

Pricing

Pricing not specified View pricing