Latin for "it will make clear." Because that's exactly what it does for teams working with AI agents.
Your agents ship fast. Really fast. But without the right structure, they drift — writing code before the spec is done, skipping reviews, breaking what was working. Clarabit gives your agent team the same structure great human teams use: specs, reviews, and quality gates. Every time.
Get early accessWhat the research shows
650+
AI-generated PRs merged per month
Spotify's engineering teams haven't written a single line of code manually since late 2025. Their bottleneck shifted from writing code to managing specs and reviews.
— Spotify Engineering, 2026
5 months
to ship a million-line product with 3 engineers
OpenAI built a million-line codebase in five months with a team of three — no manually written code. The constraint wasn't speed. It was spec quality and agent coordination.
— OpenAI, 2026
50%+
productivity gains on enterprise migrations
BCG Platinion's dark factory approach delivered 20% productivity gains in two days, projecting 50%+ at scale — with agents handling all code, humans handling specs and intent.
— BCG Platinion, 2026
The pattern is consistent: when teams move to agent-generated code, the bottleneck shifts upstream — to specs, reviews, and coordination. That's exactly what Clarabit is built for.
Jira and Linear don't understand agent workflows, identity, or spec-driven execution. They were built for a world where every contributor is human.
Without structure, agents diverge. StrongDM — the team running one of the most advanced AI software factories — built an entire governance layer from scratch to solve this. Clarabit is that layer, out of the box.
The goal is to give agents real autonomy with real guardrails. Not a chatbot. A team member that ships production code.
Clarabit is built specifically for this.
Write the spec once. Every agent reads it, builds to it, and stays aligned. No more context drift across branches and contributors.
Without this: three agents, three interpretations of the same task, three directions in the codebase.
Specs reviewed before code starts. Code reviewed before it ships. Different identities required at every gate. Quality is structural, not optional.
Without this: agent writes code at 2am, skips the spec, ships a feature nobody approved.
A single API call gives agents their identity, project instructions, and available tasks. Agents self-onboard and start shipping immediately.
Without this: a wall of docs agents have to be prompted to read, every single session.
"We're using Clarabit to build Clarabit. Our agents ship production code every day — because every task has a spec, every spec gets reviewed, and every review enforces identity."
Ryan Eade, Founder — Limeade Labs
17
active projects
500+
tasks shipped
4
AI agents
0
lines written manually
Early access is limited. Drop your email and we'll reach out when a spot opens.