Stop hand-holding one chat.
Ship 10× in parallel - at a tenth of the cost.
The autonomous AI SDLC platform. Hand it any dev task - a feature, a bug, a refactor, an investigation - and it plans, codes, tests and reviews the work, then opens the pull request. Every ticket, in parallel. You do one thing: review and approve.
Watch it work a ticket.
Filing a task, the review evidence, and the one click that is yours: approve.
Cheap AI code isn't cheap.
Plenty of tools write code. The expensive part isn't tokens - it's your senior engineer spending an afternoon disproving a confident, wrong diff. An agent that says "done" on work that isn't hasn't saved you anything.
no_human makes the machine prove it. Before a PR reaches you, an independent reviewer has already tried to tear it apart. The failure modes everyone hits with AI coding are the ones this loop is built against:
- Context rot. Long chats degrade - the model forgets, repeats, invents. no_human never carries one long conversation: the work is split across roles that each get a fresh, bounded context sized to their job, progress is checkpointed to git between attempts, and a stuck run is reset and rebriefed from the checkpoint instead of being talked at until it drifts.
- LLM as its own judge. The reviewer is a separate fresh-context model told to refute "done", citing file and line. Nothing anywhere scores its own work.
- No fake "done". Work it can't finish honestly parks with a specific question for you instead of a plausible-looking diff.
- Quietly weakened tests. A deterministic guard fails any attempt that deletes or weakens tests; a bug fix must ship a test that fails on the unfixed code.
- Runaway spend. Hard budget caps per attempt and per task - it halts and reports instead of running all night.
- Unreviewable output. Every PR carries the reviewer's evidence, so you check findings instead of spelunking a diff.
About a tenth of the cost.
Every ticket, about a tenth of the cost. Whatever you hand it - feature work, bug fixes, refactors - it delivers for 8–12% of what the same ticket costs by hand.
of what the equivalent babysat session costs.
Same ticket, two ways: hand-held in a chat session, or handed to no_human. no_human's way costs 8–12% as much.
Where the money goes when you hand-hold a chat.
Babysitting one chat is expensive for a specific reason: the whole conversation is re-sent on every turn, so the longer the task runs the more you pay per step - and the most expensive model does every job, including the trivial ones. no_human is built the other way round.
The right model for each job
Building runs on a mid-tier model. The top-tier model is spent only where judgment pays for itself - planning and adversarial review. Summarising, classifying and distilling run on the cheapest tier. One conversation cannot do that; six roles can.
No conversation to re-read
Each role gets a fresh context holding only what its job needs. Nobody pays to re-read an hour of someone else's transcript on every turn - the compounding cost of a long chat simply does not accrue.
Tool output is capped before it reaches the model
A search that returns 8,000 lines gets trimmed to what is useful, per tool, with a pointer to retrieve the rest. Those results would otherwise be re-sent on every later turn, at full price, forever.
Only the tests your change touches
Runs are routed to the affected test files instead of the whole suite, so verification cost scales with the change, not with the repository.
Spend is capped, and stopping is allowed
Every attempt and every task carries a hard token budget, with a bounded number of attempts. When it cannot finish honestly it stops and asks - it does not grind against the cap producing nothing.
You are not in the loop
The largest cost in the babysat version is not tokens. It is your senior engineer steering, re-explaining and disproving. That line item goes to zero until the review.
Plugs into what you already run.
Jira
Tickets import as tasks; status syncs back to the board.
GitHub & GitLab
PRs and MRs open on your own host; issues import as tasks.
Slack
@mention no_human in a thread and it becomes a task.
Jenkins & CircleCI
Test layers can run on your CI, and the results gate the loop.
Claude Code
The engine underneath - on your own Claude credentials.
Any git repo
Point it at a local repository - or create one from the composer.
Safe to Merge
Anything can be cheap by cutting corners. These three guards stop that - enforced in code, not promised in a document.
It can't merge unless you tell it to
The reviewer is not the author.
A separate model with no memory of writing the code tries to refute "done" - citing file and line for every claim.
Gutted tests are caught before review starts.
A deterministic check fails any attempt that deletes or weakens tests - no model judgement involved.
What your team gets.
- More shipped per sprint. Tasks run in parallel while your engineers stay on the work that needs them. Each one comes back as a reviewable PR.
- Predictable cost. About a tenth of doing the ticket by hand, with a hard budget cap on every task - spend is bounded before a run starts.
- Zero new infrastructure. It runs on the developer's machine, on SQLite and your existing git host. Nothing to deploy, nothing to upload.
- The work arrives done. Planned, coded, tested - and already torn apart by an independent reviewer before you ever see it.
- Reviews go fast. Every PR carries the reviewer's evidence, file and line for every claim. You check findings instead of spelunking a diff.
- No babysitting. Add the task and let it run; review the result. If it's genuinely stuck, it asks you one specific question.
Three steps, and the third one is yours.
Install it
Download the client, paste your Claude token, point it at a repository. That's the whole setup.
Give it real work
A feature, a bug, a refactor - anything on the board.
Read the diff and decide
Merge it, or send it back with a note. That call was never going to be anyone else's.
The first macOS build ships soon.
One email when the signed build is ready. Nothing else.
Reserve an invite and you'll get the build the day it's signed.
Before you install
- macOS. Windows and Linux aren't ready yet.
- The Claude Code CLI on the same machine - no_human drives it, and doesn't bundle it.
- Your own Claude credentials. no_human runs on the credentials you provide; nothing is billed through us.