Capture, issue, repair

Production observability for teams shipping today with autonomous coding agents.

Patchly catches runtime failures, opens the source-rich GitHub issue, and gives your agent enough context to propose the repair.

One DSN

Browser and server capture

GitHub-native

Issues and follow-up comments

Source-aware

Readable stack traces and repair notes

How it works

CaptureTriageRepair

Your app

Runtime error captured

01

The SDK records the exception, release, URL, user, and breadcrumbs.

TypeError3 events2 users

Patchly

Similar errors grouped

02

Repeat events are deduplicated into one failure group with a clear threshold.

Fingerprint matchThreshold reached

GitHub

Issue opened automatically

03

Patchly posts the stack trace, affected users, breadcrumbs, and release SHA.

Issue #42Stack traceBreadcrumbs

Patchly AI

Source context gathered

04

The repair pipeline reads the issue and relevant repo files before drafting advice.

Source mapsRepo searchRelevant files

GitHub

Repair note lands on the issue

05

Your agent gets a concrete suggested fix with file names and line-level context.

Suggested diffFile:lineReady for agent

Why Patchly fits

Error tracking for teams that fix in GitHub.

Production bugs rarely arrive as tidy tickets. Patchly helps turn messy runtime behavior into a concrete engineering handoff.

Error tracking for AI-assisted teams

Runtime failures are captured, grouped, and kept close to the source context your agent needs.

GitHub-native triage

Patchly fits the tools your team already uses by opening the issue first and keeping the follow-up inside GitHub.

Repair notes, not just alerts

The model sees stack traces, source maps, and repository matches before it suggests what likely broke and where to start.

Workflow

Capture, issue, repair. One loop from runtime failure to fix.

Capture

Watch production without drowning in noise.

Patchly captures runtime failures, keeps useful context, and groups repeated breakages before they become scattered alerts.

Issue

Turn signal into a GitHub-ready task.

When the same failure keeps landing, Patchly opens the issue with counts, affected users, stack traces, and release context.

Repair

Add repair notes backed by source context.

Source maps, repository search, and stack frames give the model enough context to suggest a concrete next step instead of generic advice.

See it in action

From production crash to GitHub patch.

Patchly groups repeated errors, opens the GitHub issue automatically, and posts an AI-generated fix comment — so your next session starts with a concrete task, not a mystery.

Patchly dashboard showing three grouped error types — TypeError, UnhandledRejection, and RangeError — with event counts, affected users, and GitHub issue links
GitHub issue opened by patchly[bot] showing the TypeError stack trace and an AI-generated repair note with a suggested code diff

Walk through the full loop →

Languages

TypeScript first. Python next.

Patchly is TypeScript and JavaScript first today because production teams are shipping agent-assisted work in stacks like Next.js, React, server actions, edge functions, and shared SDK code.

GitHub Octoverse 2025 reported TypeScript as the #1 language on GitHub by monthly contributors. Python support is planned next, but it is not available in Patchly today.

Install

Paste the DSN. Connect GitHub. Keep shipping.

One DSN for browser and server capture
Console, network, and unhandled error capture
Source map upload for readable stack traces
GitHub OAuth for issue creation and comments
OpenRouter, Anthropic, OpenAI, Google, and DeepSeek
Repository search when stack traces lack file paths
Quick start
npm install patchly

import { init } from "patchly";

init({
  dsn: process.env.NEXT_PUBLIC_PATCHLY_DSN,
  release: process.env.VERCEL_GIT_COMMIT_SHA
});

Ship the product you meant to ship.

Start free with runtime capture. Upgrade when you want GitHub issue automation, source-aware repair notes, and a cleaner path from production bug to patch.

Report a bug
Patchly — Production Errors to GitHub-Ready Patches