Ship software that
stays at a 200.
To200 watches your repo like Sentry — then an AI pipeline finds the root cause, writes the fix, verifies it against a real demo login, hardens it with a QA swarm, and opens the pull request. A Linear-style workflow on an Asana-style board, running on autopilot.
No credit card. Connect a repo and watch the first fix merge itself.
How it works
One pipeline from 500 to 200.
Every issue moves through the same eight stages — visible, auditable, and as autonomous as you let it be.
An error lands from monitoring, the QA swarm, or a teammate.
Step 01The AI reads the repo and telemetry to pin the root cause.
Step 02A fix plan is drafted — approve it, or let it run.
Step 03Code is written on a fresh branch, against your conventions.
Step 04The app boots and logs in as a demo user to prove the fix.
Step 05An adversarial agent swarm attacks the change from every angle.
Step 06A clean pull request opens against your connected repo.
Step 07Merged and verified. Back to a 200.
Step 08The platform
Monitoring, fixing, and shipping — in one loop.
To200 fuses error monitoring, an AI fix engine, and an issue board so reliability stops being a backlog and starts being automatic.
Sentry-grade monitoring
Drop in a DSN and To200 ingests every error, groups it, and ranks it by users affected and blast radius.
AI root-cause + autofix
The agent traces a stack trace back through your repo, explains why it broke, and writes the fix on a branch.
Verify with a real demo login
Before anything ships, To200 boots your app and signs in as a demo user to confirm the bug is actually gone.
QA swarm attacks every fix
An adversarial swarm of agents stress-tests the change — edge cases, regressions, and abuse — until it holds.
Autonomy you control
Dial it from manual review to full autopilot. Granular toggles and daily spend caps keep you in charge.
Edits your repo and your DB
Connected to GitHub and Supabase, it can correct code and data together — migrations and seed fixes included.
Autonomy
You decide how much the AI does — up to everything.
Start with a human on every step. Graduate to full autopilot, where fixes merge themselves. Switch levels per workspace, anytime.
Manual
AI suggests, you decide
The AI analyzes and proposes, but every stage transition waits for a human.
Assisted
Auto-fix, you approve PRs
The AI auto-analyzes and writes the fix on a branch. Opening the PR and merging need approval.
Auto-PR
Ships to a PR on its own
Fully autonomous through opening the pull request. Only merging to a protected branch is gated.
Autopilot
Bypass everything
The AI proceeds on its best judgment end-to-end, including pushing and merging. Granular toggles and spend caps still apply.