Accepting design partners

Production errors become
pull requests.

Your app crashes at 3am. Probie reads the stack trace, writes a fix with a regression test, and opens a PR — before anyone wakes up. Feature requests get built on staging so your team can try them instead of debating them.

probie.dev/runs/73
Fix null reference in user settings endpoint
Sentry FRONTEND-2R4 · TypeError: Cannot read properties of undefined (reading 'preferences')
Bug FixHigh confidence3m 12s · ~$0.14
Tests
142/142
Coverage
83.4%
+1.2%
Lint
0 warnings
CI
4/4 pass
Understanding
Read 6 files around settings.controller.ts, traced the null reference to missing optional chaining on user.preferences
Fix
Added null check with safe default, updated 2 downstream consumers
Testing
Wrote 3 regression tests covering null, undefined, and partial preferences object — all passing
PR opened
Branch probie/fix-frontend-2r4 → PR #73 — CI green
Your bug backlog only grows.
Sentry errors pile up, engineers context-switch between features and firefighting, and the 3am page is just a bug with urgency.

Most bugs don't require creativity

Null references, bad configs, unhandled edge cases — they follow predictable patterns. They sit in a queue because context-switching is costly, not because the fix is hard.

Building is cheap, knowing what to build is expensive

“Should we add feature X?” is a debate. “Here’s feature X running on staging, try it” is a decision.

// error autopilot
Crash at 3am?
PR by sunrise.
Probie reads the error, traces it through your codebase, writes a fix with a regression test, and opens a PR. No human needed until review.
01

Error arrives

Sentry alert, bug report, log anomaly — from whatever monitoring you already use.

02

Probie investigates and fixes

Reads your code, identifies root cause, writes a fix with a regression test, validates against your test suite.

03

You review signals, not diffs

Tests passing, coverage delta, lint clean, confidence score. The diff is there if you want it — but the signals tell the story.

probie — error autopilot
12:03:41 ERROR Sentry FRONTEND-2R4
........ TypeError: Cannot read 'preferences'
........ at settings.controller.ts:47

12:03:42 TRIAGE Code bug, high confidence
........ Pattern: null reference on optional field

12:03:44 READING settings.controller.ts
........ user.model.ts, preferences.service.ts
........ + 3 related test files

12:04:18 FIX Added optional chaining + safe default
........ 2 files modified, 1 test file added

12:05:52 TESTS 142/142 passing (+3 new)
........ Coverage: 83.4% (+1.2%)

12:06:53 PR #73 opened probie/fix-frontend-2r4
........ CI: 4/4 checks passed
........ Confidence: high — ready for merge
probie — staging prototypes
09:14:02 FEATURE "Add CSV export for analytics"
........ Requested by Sarah (PM)

09:14:05 PLANNING Analyzing existing data layer...
........ Found: analytics.service.ts, chart components
........ Approach: add export button to dashboard

09:16:30 BUILDING ExportButton component
........ CSV generation with papaparse
........ Date range filter support

09:22:14 TESTS 8 new tests passing

09:23:01 STAGING Deployed
........ https://csv-export.staging.acme.dev
........ Branch: probie/feat-csv-export

........ Try it → approve → ships to main
........ Reject → zero cost, branch disappears
// staging prototypes
Try it before you build it.
Probie builds a working prototype on staging so your team evaluates real software instead of debating hypotheticals.
01

Submit a feature request

From a PM, a customer, or a ticket. Probie plans the approach and asks questions if needed.

02

Probie builds and deploys

Isolated staging environment. Real software, running, clickable — not a mockup.

03

Try it, then decide

Approve and it merges to main. Reject and the branch disappears. The cost of trying an idea is near zero.

What Probie is not.
Not an incident tool

We don't replace PagerDuty

They manage the workflow. Probie generates the fix. We integrate, not compete.

Not an AIOps engine

We don't reduce alert noise

Probie assumes the alert is real and acts on it. We start where correlation engines stop.

Not an IDE copilot

We don't help you code faster

Copilot and Cursor help engineers write code faster. Probie writes code without the engineer.

Not a demo. A pipeline.
Any LLM can generate a patch. The value is the system around it.
🔌

Monitoring-agnostic

Sentry, Datadog, PagerDuty, custom logging — whatever you already use.

🎯

Confidence scoring

Null checks can auto-merge. Auth and payments always get human review. Probie knows the difference.

🧪

Regression tests included

Every fix ships with a test so the same bug never comes back. Coverage goes up, not down.

🌙

Works at 3am

On-call is just a bug with urgency. Probie handles it the same at 3am or 3pm.

🔀

PR-native workflow

Everything lands as a pull request. Your existing review process stays intact.

📈

Self-improving

Every merged or rejected PR teaches Probie what works for your codebase.

Code survivability.
68%
of Probie PRs merged without major edits

What percentage of AI-written code ships to production and stays there? Not tasks completed. Not PRs opened. Code that survives.

We're looking for 10 teams
to build this with.

Free access. High-touch onboarding. Weekly check-ins. You get an AI that fixes your bugs and prototypes your features. We get the feedback to make it great.

Apply as a design partner
JS/TS + Node.js teams using Sentry · 2–10 engineers