Cartara grows developer knowledge with ongoing assessment and long-term analysis — turning every AI coding session into explanations, quizzes, and a personal engineering knowledge map, grounded in your repo's actual diffs.
Your AI ships the code. When the model does the reasoning, engineers can ship for months without ever building the mental models the work depends on.
Velocity looks great on the dashboard. But agent self-reports don't tell you what your team actually understands — and that gap compounds silently.
A continuous loop that turns everyday AI coding into measurable learning — without adding process.
The collector runs locally on your actual diffs — the PRs, prompts, and fixes from each AI coding session — and turns them into plain-language explanations of what changed and why.
At the end of each session review, a short quiz tests whether the concepts behind the code actually landed — tied to what they just built, not a generic curriculum, and impossible to game with agent self-report.
Every check updates mastery per concept — from exposed to developing to strong — so understanding compounds visibly over time, with gaps routed to the topics each engineer is missing.
Each AI session becomes a clear explanation of what changed and why — grounded in your repository, not the agent's summary.
Fast, contextual quizzes tied to the code just shipped — assessment that respects an engineer's time.
Mastery tracked per concept across six states — a living picture of what each engineer really knows.
Weak spots route straight to explanations tuned to the exact topics an engineer is missing.
Understanding tracked over months, not moments — watch knowledge compound instead of guessing at it.
See where the team is strong, where it's fragile, and how each engineer is growing — no micromanaging.
The collector runs on your machine and applies your privacy policy before anything is uploaded. Denied paths never leave your device, secrets are redacted, and every upload shows a preview first.
.env stay on your machineTurn AI-assisted work into real fluency, with feedback that respects your time and a knowledge map that meets you exactly where your gaps are.
Move past velocity vanity metrics to a clear, longitudinal view of how your team's knowledge is actually growing — grounded in evidence, not self-report.
Join the waitlist and be first to bring the learning layer to your team.