Your AI remembers every line it wrote.
Does your team?
Cartara is a local-first platform that measures engineering code comprehension in AI-assisted teams — turning every AI coding session into a living knowledge graph of what your team actually knows.
AI ships code faster than your team builds understanding.
Velocity climbs. Knowledge debt hides underneath it. Every AI-generated commit can widen the gap between what was shipped and what your team could rebuild, debug, or defend.
From AI session to measured understanding, in three steps.
No new workflow to adopt. Cartara works from the code you already ship with AI.
Connect Cartara to your workflow
Cartara captures the diffs from your AI coding sessions on your machine — applying your privacy policy before anything is ever uploaded.
Code with AI as usual
Keep using Claude Code, Cursor, or Codex exactly how you do today. Nothing new to learn, and no change to how you ship.
Get a three-minute check
Each session becomes a plain-language review and a short knowledge check — feeding a living graph of what your team actually understands.
Everything your team ships feeds one living map.
Weak concepts strengthen as understanding grows. The graph is the moat — and it compounds with every session.
Understanding grows over months, not moments.
Each check strengthens the map. Watch a concept move from exposed to strong across a project — the long-term signal velocity metrics can't show you.
Everything behind the Knowledge Graph
Three inputs turn everyday AI coding into measurable understanding. The rest keeps the map sharp.
Session reviews from real diffs
Every AI session becomes a plain-language account of what changed and why — grounded in your repo, not the agent's summary.
Three-minute checks
Fast, contextual questions tied to the code just shipped — impossible to game with agent self-report, and respectful of an engineer's time.
Long-term tracking
Mastery per concept, tracked over months. Understanding you can watch compound instead of guess at.
Adaptive knowledge library
Weak spots route straight to explanations tuned to the exact concepts an engineer is missing.
Personal knowledge map
A living picture of what each engineer really knows.
Team-level insight
See where the team is strong, where it's fragile — no micromanaging.
Local-first by design
Cartara learns from real code — not AI summaries. The collector runs on your machine and applies your policy before anything is uploaded.
.env stay on your machineBuilt for engineers and leaders
Understand the code you ship
Turn AI-assisted work into real fluency — with a knowledge map that meets you exactly where your gaps are.
See understanding compound
Move past velocity vanity metrics to a longitudinal view of how your team's knowledge is actually growing — evidence, not self-report.
Frequently asked questions
What is Cartara?
Cartara is a local-first developer platform that measures engineering code comprehension in AI-assisted teams. It turns every AI coding session into a living knowledge graph — an evidence-based picture of what your team actually understands about the code it ships, not just how fast it ships.
How does Cartara track developer understanding without micromanaging?
Cartara doesn't monitor keystrokes or activity. It grounds understanding in real work: plain-language reviews generated from your actual diffs, plus fast three-minute knowledge checks tied to the code just shipped. The result is a per-concept mastery map at the team level — where you're strong, where you're fragile — with no surveillance and nothing to game through agent self-report.
Does Cartara send my source code to external servers?
Cartara is local-first. The collector runs on your machine and applies your privacy policy before anything is uploaded: denied paths like .env stay local, secrets are redacted, and you choose metadata, sanitized, or full detail per project.
Which AI coding tools does Cartara work with?
Cartara works alongside the AI coding tools engineers already use — including Claude Code, Cursor, GitHub Copilot, and Codex — because it learns from the diffs those sessions produce rather than hooking into any single vendor.
Make understanding a first-class output of shipping.
Join the waitlist and start building your team's Engineering Knowledge Graph.
Curious why we're building this? Read the story behind Cartara.