段取り /dan.do.ɾi/ · Japanese
noun
the art of arranging work before it begins, so that execution flows without friction.
Dandori runs the agent CLIs your team already pays for (Claude Code, Codex, Cursor) as a coordinated team instead of one-at-a-time. Real sandboxes, real end-to-end proof, on your GitHub repos, inside your VPN.
Claude Code · Codex · Cursor · GitHub · your CI. Bring your own keys: Dandori orchestrates, it doesn't resell your tokens.
the problem
agent> Implemented checkout flow. agent> All changes complete. Done ✓ ✗ app never launched ✗ tests never run ✗ browser never opened you> it crashes on load agent> You're absolutely right…
Agents guess. Worktrees and parallel branches multiply the number of agents, not the number of things that actually work.
You babysit. One engineer, one agent, one anxious review of every claim it makes.
Nothing coordinates. Two agents will happily rebuild the same component twice, and neither will tell you.
the scale wall
Solo agent tools give a team one or two spectacular days, then bill for them. Multiple engineers' agents each rebuild the world from zero context, and the collisions surface later: as merge conflicts, as duplicated components, as a 4,000-line PR that takes a senior engineer an afternoon to even parse.
A team on solo agent tools
net: two days of work, three days of tax
The same team on Dandori
net: five days of work
Your engineers should be fixing their own design decisions, not the agents' mess.
Why they fall over: every agent starts from zero context and every engineer becomes a coordination bottleneck. The faster the agents type, the faster the inconsistency compounds.
What Dandori does instead: its sandboxes track how the code is actually evolving and talk to each other. Learning and strategy are shared as components. When one engineer designs something, every other engineer's agents see it immediately, and can make a real decision: use it, build compatible with the design that will land first, or re-prioritize and let the base work land.
Work moves in the direction the project is already going. No collision to untangle on Wednesday, because the flock never had to.
proof, not guesses
Editor, terminal, browser, CI and a full desktop: a complete environment per agent. It runs your app, drives it in a real browser, writes and runs unit and e2e tests, lints and fixes.
A desktop means it tests what other tools hand back to you. Push notifications, video and audio playback, file uploads, memory and leak inspection: exercised by the agent, not coordinated by a human.
When a PR arrives, it has already been used. Not "should work": worked, watched, verified end-to-end before anyone asks you to review it.
it learns your project
Every time you redirect an agent, that becomes a learning point, written into the project's knowledge and into the skills your agents carry forward. Dandori builds a mental model of your codebase: where things live, how they're found, what "good" looks like here.
And it gets cheaper as it learns. Input compression means the more Dandori knows, the less you spend per session.
agents that talk to each other
What's pending, who's doing what, what's the highest priority, and whether the thing you just asked for is even the right thing to build. Dandori keeps the state of the project and routes the work.
Multiple engineers, multiple sandboxes, one codebase, no collisions. When throughput explodes, coordination is the product. Dandori plans, specs, and keeps everyone moving in the same direction.
the murmuration
A starling murmuration moves as one shape because every bird follows three local rules. No manager bird, no meetings. Dandori runs your agents on the same three rules. Turn one off below and watch what a team without it looks like.
Separation is Dandori's sandboxes and coordination: parallel work that can't collide: no clobbered branches, no duplicate PRs, red turns to green before anyone reviews.
Alignment is shared strategy: the latest designs and components broadcast to every engineer's agents, so everything lands pointing the same way.
Cohesion is the shared backlog and priorities: one project state, everyone pulled toward what matters most; the flock turns together.
the numbers
Merged means: spec'd, built, run, tested in a browser, reviewed, all before it reached you.
Today · one engineer, one day
2 merged PRs
With Dandori · same engineer, same day
80–200 merged PRs
Same engineer, same codebase. One of those lanes stops and asks: that is the point, not an exception.
One engineer's daily flow becomes a ten-engineer team's quarter — every single day.
At that speed the bottleneck moves: not "can we build it," but "are we building the right things, in the right order." That is dandori, and it's the part the product does for you.
the objection
Nothing merges unverified. The sandbox runs the app, drives the browser and runs the tests before a PR exists. A change that was never used does not become a PR.
Agents build on your components. Shared design lands as a component every other sandbox can see, so the fifth reimplementation never gets written, and the PRs stay small enough to actually review.
Dandori measures its own rework. How often a feature gets rewritten, how often two agents collide: a number on your dashboard that has to go down. Volume without that denominator is just slop, and you should be able to check.
Evaluating this for your team? Read the technical brief →
fast because it's safe
Everything runs inside your VPN. Sandboxes can't leak to the public internet; sharing anything publicly goes through a break-glass process that requires human authorization.
Unsafe means human. Deployments, breaking changes, security-sensitive edits: anything Dandori detects as risky stops and asks. The rails hold, so the agents can run.
Your inputs become sparse. Say what you want; Dandori gets there with the minimum interaction needed. You stop steering keystrokes and start reviewing outcomes, which is what lets you parallelize.
manage teams, not an agent
Plan, spec, and design once; Dandori executes with everything it has learned: the latest revisions of your components, the churn that's begging to become a shared abstraction, the priorities the team already agreed on. Instead of managing one agent like a very fast intern, you run teams of engineers' worth of work.
That works because the tools underneath are built for agents first, with dashboards for you on top. Most products wrap a human tool and hope an agent can drive it. Dandori is the other way round, which is why delegating is a decision you make once rather than a thing you supervise.
Release orchestration, in your inbox
When a release goes out, Dandori exercises the new and the critical paths the way a human tester would, then emails you the report: what is in the release, what it found, what needs fixing, the risks, and whether it is safe to proceed. Screenshots attached as proof, whether the answer is yes or no.
The backlog is already updated when you open it. Anything it judges risky does not ship on its own authority: it stops and asks you.
And when the work is complex, it offers to walk you through it — live, in the running app.
what you're actually buying
Agentic development breaks per-usage pricing: the more productive you get, the less predictable the bill.
Bring your own keys. Dandori runs against the Claude and Codex subscriptions you already hold. Its own indexing layer costs cents to a few dollars a day, even on large multi-engineer projects.
It spends your tokens carefully. Work is routed to the model that fits it, split across sub-agents, and handed to deterministic tools wherever a tool answers better than inference does.
It replaces metered infrastructure. Dandori CI at a flat monthly rate instead of time-billed GitHub Actions, and the same for the per-consumption services around it.
Predictable spend, under acceleration.
Dandori tracks the tools it runs on, from CLIs and models to skills and MCP servers, and picks up new releases automatically.
When a frontier model ships, your agents are using it that day, not next procurement cycle. Nothing to migrate, no upgrade project, no team stuck on last year's model because the rollout is scheduled for Q3.
Dandori is a multiplier on model quality. Every time the frontier moves, the same license gets better.
The floor rises without you doing anything.
who builds it
Dandori is built and maintained by a former Google engineer whose work was large-system architecture on products at Gmail scale, and later the early integration of AI models into developer tooling: the generation of work today's AI coding tools descend from.
That background is the reason this is an infrastructure product rather than a prompt. The hard part of running agents as a team was never the model. It was the environments, the coordination and the proof.
who builds on it
Our project got big enough that Claude Code became a nightmare: weeks to get a release out, days of frustrating fixes. With Dandori it is smooth. I ship far more, and I am honestly a happier developer.
Dandori is absolutely magical. I cannot express how much more productive I have become.
Both are design partners rather than arm's-length references: large production codebases from the same team that builds Dandori. That is why they ran on it first, and why they were its harshest reviewers.
Dandori is sold to enterprise engineering organizations only. A private demo runs on your kind of codebase: complex, guarded, and real.
Received. A human reads every request; you'll hear from us at the address you gave.
Runs inside your VPN · human authorization on anything public · your code stays yours · contact@dandori.sh