Effort-adjusted velocity
Weight throughput by change complexity and review depth so a gnarly refactor counts more than a batch of one-line PRs.
Developer velocity analytics
See sustainable engineering throughput with complexity, review, rework, cycle time, and AI contribution in context, without reducing developers to commit counts.
Start with one repository. Keep your tools, workflow, and code ownership.
What you will see
Use one repository to measure how work moves and whether it stays shipped. The result explains delivery friction instead of producing another leaderboard.
Weight throughput by change complexity and review depth so a gnarly refactor counts more than a batch of one-line PRs.
Flag code that gets rewritten within days so velocity reflects durable work shipped, not motion that has to be redone.
See velocity at the individual and team level side by side, with context that discourages ranking people on raw output.
Built for your operating questions
Weight throughput by change complexity and review depth so a gnarly refactor counts more than a batch of one-line PRs.
Flag code that gets rewritten within days so velocity reflects durable work shipped, not motion that has to be redone.
See velocity at the individual and team level side by side, with context that discourages ranking people on raw output.
Break velocity down by coding, review, and deploy stages so you know where flow actually breaks, not just that it does.
Separate human-authored from AI-authored changes so surges in raw volume never get mistaken for real velocity gains.
Track direction over weeks against your own baseline instead of chasing a single leaderboard number nobody trusts.
From repo to baseline
Choose the repository you want to understand with read-only access and no changes to how developers work.
FeatureFactory analyzes pull request flow, review depth, change complexity, rework, and AI contribution from existing history.
Trace the trend back to coding, review, deploy, or rework so velocity becomes an improvement tool instead of a vanity number.
Developer velocity
Raw activity rises when work is split, automated, or generated. Durable velocity only rises when valuable changes move through review, reach production, and avoid immediate rework.
Read the velocity methodologyMost "developer velocity" dashboards count the wrong things. Commits, lines of code, and story points reward motion - and motion is easy to fake. Land ten trivial PRs and you look fast; spend three days deleting a bad abstraction and you look idle. The teams that ship well know the difference; their tooling usually does not.
FeatureFactory measures effort-adjusted velocity: throughput weighted by change complexity and review depth, then discounted for rework. If a change gets rewritten within days of merge, it stops counting as progress, because it was not. That single adjustment turns velocity from a vanity metric into a real signal of durable output. Our measure product builds this in from your git and review history.
Pair it with cycle time analytics to see not just how much lands, but where the flow breaks between writing code and shipping it.
Velocity is most useful as a diagnostic, and most dangerous as a ranking. The moment a per-dev number becomes a target, people optimize for the number: smaller PRs, padded estimates, avoided hard problems. Goodhart wins and your codebase loses. So we design velocity views to surface blockers and unbalanced load - not to rank people against each other.
At the team level, effort-adjusted velocity shows whether you are getting faster at delivering real change over your own baseline, week over week. At the individual level it exists to answer questions like "who is stuck in review?" and "who is carrying too much?" - not "who is best?" Read our take in the manifesto and the practical guardrails in how to measure developer productivity.
With AI coding tools in the loop, this matters more: raw output can spike overnight. We separate human and AI-authored changes so a generation surge never masquerades as a velocity gain until the code actually ships and survives. Start with the product tour.
Analyze one repository free and find the constraint behind your delivery trend.
Analyze one repo freeOne repository. No credit card. Read-only access.