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GitVelocity
GitVelocity is an analytics tool that scores every merged change for the engineering effort it required to measure AI adoption.
GitVelocity is an analytics tool that scores every merged change based on the engineering effort required, helping teams see how far AI has taken them. It measures scope, architecture, implementation, risk, quality, and performance and security to calculate an engineer multiplier. The platform operates by letting users bring their own Anthropic or OpenAI model key, sending diffs for scoring and deleting them immediately afterward while storing only the scores, sub-scores, and rationale. It is designed for engineering teams looking to track productivity and workflow changes over time rather than just counting commits or lines of code. It integrates directly into developer workflows through a command-line interface, a Model Context Protocol server, and a public API.
GitVelocity at a glance
- Best for: Software engineer, Director
- Runs on: Web, CLI, API
- Pricing: Free; bring your own model key
- Released: March 2026
- Category: AI coding tool
- Website: gitvelocity.dev
Key features
- Scores every merged change across six dimensions
- Measures change scope, architecture, and implementation
- Evaluates risk, quality, performance, and security
- Calculates individual and team engineering multipliers
- Sends diffs to user-provided model keys for scoring
- Stores scores, sub-scores, and short rationales
- Provides a command-line interface and MCP server
- Offers a public API for custom integrations
Use it for
- Scoring merged pull requests for engineering effort
- Tracking team productivity gains from AI coding tools
- Comparing engineering output against historical baselines
- Benchmarking team workflow and agent direction
Alternatives to GitVelocity
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- codecity: a 3D map of your codebase — Visualises code structure, git history, and dependencies as an interactive 3D map.
- Adhdev — Orchestrates agents across machines with automated, test-gated git merging.
- CodeGraph — It eliminates file crawling, reducing AI agent tool calls by 88% and cutting costs.
- Rigmark — Measures local AI performance with reproducible, agent-like workloads.
- Git AI — It moves work to the server and handles concurrent tasks without standard Git bottlenecks.
- DevSpecs — Keeps a durable thread of AI work locally without cloud sync or LLM calls.
- Git AutoReview — Parallel AI reviews with human approval and bring-your-own-key security.
- Velu — Evaluates documentation across 23 checks and 7 categories in seconds without a signup.
- GitAgent — Manage AI agents with familiar git workflows like branching, diffing, and reverting.
- Shadowclone — It maintains consistent skills and instructions across all your coding agents.
- PulseDev — Edits local source files directly through existing coding agents based on visual web clicks.
All GitVelocity alternatives