Production bugs, fixed before they ruin your week.

Patcherly watches your live sites and apps, works out what broke, and writes the fix. You approve it, it applies on your own server, and one click undoes it.

Start 30-day free trial See how it works

patcherly · live incident

Detect

Analyse

Patch

Test

Monitoring · your connector watches the logs, quietly, until something breaks Detect · TypeError: Cannot read properties of null (reading 'getName') Analyse · missing null guard. Severity medium, confidence 96% Patch · waiting on you: approve, reject or ignore Test · applied, now checking your app is still healthy Test = healthy. Bug closed, nobody paged. Test = failed. Rolled back instantly, no harm done.

Runs on the stacks you already ship

One-click connector setup. No SDK, no code integration needed.
Download, 1-command pairing, and you're done.

On WordPress or WooCommerce? It is a plugin, and it keeps working when the site does not.

Get the connector for your stack

Supported today

PHP · Laravel · Symfony · CodeIgniter

WordPress · WooCommerce

Python · Django · Flask · FastAPI

Node.js · Express · Koa · NestJS · Next.js

PHP · Laravel · Symfony · CodeIgniter

WordPress · WooCommerce

Python · Django · Flask · FastAPI

Node.js · Express · Koa · NestJS · Next.js

On the way

TypeScript · Fastify · Bun

Ruby on Rails

Rust

C++ · services & infrastructure

Java / JVM

Kotlin

C# / .NET

PowerShell · Azure & Windows

Elixir

Scala · Akka · Play

TypeScript · Fastify · Bun

Ruby on Rails

Rust

C++ · services & infrastructure

Java / JVM

Kotlin

C# / .NET

PowerShell · Azure & Windows

Elixir

Scala · Akka · Play

How it works

Six stages you can watch. Every one reversible.

Every error walks the same path, and every step is visible in your dashboard: who approved it, when the connector ran, how it ended. You decide when Dry-run is on, and which paths can never be touched.

Help center → How rollback works →

Watch, without the log archaeology

Pair a site once and your errors land in one inbox. No tailing files over SSH, no pasting stack traces into chat. You set the scope, and nothing outside it is ever read.

Understand what actually broke

Each error is packaged with the trace, the surrounding code and the environment it happened in. Secrets are stripped on your server before any of it travels. You get a plain-language summary, not a cryptic log line.

Draft a fix for your code, not a generic one

The analysis runs on that context pack alone. We hold no standing SSH or host credentials, and the suggestion reads like something a colleague who knows your stack would write. Optional Pro Repo PRs use a GitHub App you install on repos you choose.

Show you the diff and a confidence score

Every proposal arrives with the exact change, a short explanation of why, and a confidence score. Anything under 90% needs a human, even with Auto Apply switched on. Nothing is patched blind.

Back up first, then verify live

The connector snapshots the affected files on your host before it writes anything. The moment the patch lands, a live check confirms your site still responds. If it does not, the snapshot goes straight back.

Leave a trail you can hand to a client

Who approved, what ran, how long it took, how it ended. All of it in your dashboard, exportable, and useful the next time someone asks what happened last Tuesday.

Real fixes

From fatal to fixed, in under a minute.

Typos, missing null guards, wrong unpacking, unhandled async, the field an upstream API quietly stopped sending. Not glamorous, but they are what takes your site down and eats your evening.
These are the ones Patcherly is best at.

PHP · user_service.php

before.php

function getUserData($userId) {
    $user = fetchUser($userId);

    // ✗ Fatal: missing null check
    return $user->getName();
}

✗ Fatal Error: Call to method on null

after.php

function getUserData($userId) {
    $user = fetchUser($userId);

    // Patcherly · Missing null-guard
    return $user ? $user->getName() : null;
}

✓ Patched · Confidence 96%

Python · process.py

before.python

def process_user_data(data):
    # ✗ TypeError if data is a dict
    name, age = data
    return f"{name} is {age}"

✗ TypeError: cannot unpack dict

after.python

def process_user_data(data):
    # Patcherly · Add safe dict access
    name = data.get('name', '')
    age  = data.get('age', 0)
    return f"{name} is {age}"

✓ Patched · Confidence 94%

Node.js · user.controller.ts

before.node.js

async function getProfile(userId) {
    const user = await fetchUser(userId);
    // ✗ TypeError on undefined
    return user.profile.bio;
}

✗ TypeError: Cannot read properties of undefined

after.node.js

async function getProfile(userId) {
    const user = await fetchUser(userId);
    // Patcherly · optional chain
    return user?.profile?.bio ?? null;
}

✓ Patched · Confidence 97%

Who it’s for

Three kinds of setup.
Same tool.

Developers and engineering teams

Get back the debugging hours nobody ever puts on a roadmap. Patcherly takes the repetitive triage so you can stay on the work you were hired for. Your PR flow and CI do not move an inch.

Dry run, path exclusions and approval rules per site
Time saved, resolution mix and exports in the dashboard

Agencies and small businesses

Look after more client sites without hiring. Fewer panicked calls, faster resolution, and a report you can send to a client without rewriting a thing.

Many sites in one workspace
Per-error timelines and rollups for client reports

Solo builders and freelancers

Your app keeps working while you sleep, travel, or focus on the next release. Set and forget where you trust it, full manual approval where you do not. Your call, every time.

Free plan that stays free, no card on file
EU-hosted by default when clients ask about compliance

Numbers, not promises

What are production bugs actually costing you?

At roughly 90k visits a month, a typical team burns about €8,500 a year on manual debugging, and Patcherly cuts that by 57%. At 300k the saving is around €24,000 a year. At 3M, north of €250,000.

Understanding metrics → How we calculate savings →

Visits / month: 90k

≈ 3k visits/day average · ≈ 1.1M visits/year

Developer cost (€/h): 80

Per month

0 hours saved

0 € saved

Per year

0 hours saved

0 € saved

These figures assume you review and approve each fix yourself, so they include roughly 10 minutes of human approval per patch. With the Pro plan's Auto Apply feature on, a patch is applied and verified in under a minute.

Tools

Everything that plugs into Patcherly

Our lightweight connectors, chat alerts where you already work, native desktop apps, and the Patcherly MCP for your AI assistants & IDEs.

Site Connectors

WordPress, Node, Python, PHP. Install on your host, pair in one command, and keep code on your side of the wire.

Connectors →

Chat Alerts

Slack, Discord, Teams, or any webhook. New bugs, ready fixes, applies, and rollbacks land where your team already looks.

Integrations →

MCP for AI Tools

Cursor, VS Code, Claude, Codex. Triage errors and export workspace data from the assistant you already use.

MCP →

Desktop App

An app for your OS that delivers native notifications and quick actions for the events you care about.

Download →

The questions we get asked first.

Not answered here? Ask us directly, or dig into the help center.

Do I have to upload my repo or hand over SSH access?

No, and we would not want it. Patcherly runs through a connector you install on your own infrastructure. It sends us error context and writes patches locally. Nobody on our side logs into your servers, and we do not mirror your full repository into our cloud.

Can it change production files without asking me?

No. Every fix waits for your approval before anything is written, by default. Turn Dry-run on if you want a preview-only test. You can also use the Pro feature "Auto Apply", which allows the patch to be applied automatically after a high-confidence analysis, and can always be turned off again in one click.

What happens if a patch turns out to be wrong?

The connector takes a local snapshot before every apply. If the patch fails or the health check comes back unhappy, the original is restored automatically. Manual rollback is always one click away, for as long as the snapshot exists on your disk.

Is my code used to train AI models?

No. We use third-party AI for inference only, to draft a fix from a scrubbed error context. Nothing you send is used to train or fine-tune anyone’s foundation model. We do remember whether a fix worked, but only inside your own workspace. On Core and Pro, that history helps future suggestions avoid what already failed for you.

How is this different from Copilot, Cursor or Sentry?

Those tools are excellent at their own jobs. Copilot and Cursor help you write code, Sentry and Datadog show you what broke. Neither closes the loop on the server. Patcherly picks it up from there: live bug detection, enriched and customized AI-drafted fix, your approval, live site apply, auto site testing, rollback.

Where does my data live, and is there a DPA?

The app, API and database are EU-hosted (Frankfurt) by default. The DPA is published at /legal/data-processing-agreement and accepted at sign-up, and every subprocessor is listed at /legal/subprocessors. You can delete your account yourself from the dashboard.

What does the free trial actually include?

The full Pro plan for 30 days: every feature unlocked, no credit card, no auto-charge when it ends. If you do nothing, your workspace simply moves to the free Personal plan and keeps running. Nothing is deleted.