Production bugs, fixed before they ruin your week.

Patcherly watches your live websites & apps for errors, drafts the fix, and waits for your approval. Nothing changes on your server until you say so — and one click rolls it back if anything feels off.

See how it works ↓

patcherly · live incident

Detect

Analyse

Patch

Test

Monitoring — Patcherly connector watches your logs, until a bug is detected Detect — TypeError: Cannot read properties of null (reading 'getName') Analyse — Missing null-guard, Severity: medium, Confidence: 96% Patch — Auto or Manual approve, reject or ignore the fix. Test — If patch applied, now running health checks on your app Test = all done, bug fixed in seconds! Test = instant auto roll-back, no harm done!

Code stays on your server BYOK for your AI provider Eight security layers Approval-first by default One-click rollback EU-hosted Metrics & ROI exports Code stays on your server BYOK for your AI provider Eight security layers Approval-first by default One-click rollback EU-hosted Metrics & ROI exports

< 60s

Patched before your coffee cools.

Patching and testing completes in about a minute. Without Patcherly, your bugs stay open until someone notices.

~57%

Half your debugging hours, back.

Our research benchmark across one million sessions measured a 57% drop in resolution time with Patcherly in the loop.

8×

Defense-in-depth on your perimeter.

Eight security layers sit between an incoming error and a file change — on by default for every workspace.

Zero source code stored by us.

No SSH keys, no deploy keys, no repo mirror. Your connector applies, backs up and rolls back on your machine.

Supported stacks & frameworks

One-click connectors. No SDK, no messy integration. The four server-side stacks below cover most production web traffic today — more on the way.

PHP · Laravel · Symfony · CodeIgniter

WordPress · WooCommerce

Python · Django · Flask · FastAPI

Node.js · Express · Koa · NestJS · Next.js (server-side)

PHP · Laravel · Symfony · CodeIgniter

WordPress · WooCommerce

Python · Django · Flask · FastAPI

Node.js · Express · Koa · NestJS · Next.js (server-side)

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. Fully observable. Always reversible.

Every error we catch walks through six stages. You can see each one in your dashboard — who approved, when the connector ran, how it ended. Dry-run mode and two kinds of path rules cut risk: one list decides what to monitor, another can block any file changes on sensitive paths.

Help center → Rollback guide →

Monitor everything that matters

Connect a target once and your apps start streaming errors into a single inbox. No log copy-pasting, no SSH ritual. You define scope — nothing outside your selection is touched.

Detect with smart context

Each error becomes a structured context pack — trace, snippets, environment — with secrets scrubbed before anything leaves your server. Your team gets a plain-language signal, not a cryptic log line.

Analyse with scoped, minimal sharing

Patcherly reasons only on the context pack it receives. We hold no standing access to your repo, your servers, or your deploy keys. Suggestions read like an engineer wrote them for your stack.

Patch with a confidence score

Every fix proposal arrives with a diff, a short explanation, and a confidence score. By default anything below 90% requires human approval, even when you have Auto Apply enabled. Nothing gets blindly patched.

Verify live before it sticks

The moment a patch applies, a live HTTP check confirms your site is still responding. If anything regresses, automatic rollback restores from the connector’s local snapshot. Higher plans add deeper post-apply checks.

Deploy safely, with traceability

Your dashboard keeps the full timeline: who approved, what ran, how it ended. Email and in-app alerts flag the transitions that matter. Manual rollback is always one click away.

Why teams trust Patcherly with production code.

Plenty of tools claim to fix production bugs. Few are willing to keep your code on your server, your backups on your machine, and your approval in the loop.

Your code never leaves your server

The connector lives on your infrastructure. Patcherly only ever sees a scrubbed error context — never your repo, your secrets or your file tree. Backups stay on your machine; your code never trains anyone’s model.

→ How the connector works

Approval-first, by default

New targets ship in dry-run. Patches wait in your queue until you approve them. Auto-approve is opt-in, scoped per target, and revocable in one click — that switch is yours, not ours.

→ Dry-run and approval guide

Backups stay local. Rollback is yours.

Before any file changes, the connector snapshots affected files on your host with a sha256 manifest. We never copy that backup. Rollback runs from your machine, on your timing — manual or automatic.

→ Rollback guide

Metrics that survive a finance review

Resolution rate, confidence, time-to-fix, hours saved — all in your dashboard, refreshed live. Export to CSV, XLSX or PDF and drop it straight into your QBR, client report or board deck.

→ Understanding metrics

Eight layers of security, all default-on

Authentication, data validation, code privacy, local pre-apply snapshots, tenant isolation, encrypted transit, dashboard hardening, threat detection. Eight layers — on by default for every workspace, never gated by plan.

→ Full security overview

EU-hosted, GDPR-aligned

The Patcherly app and database are hosted and run from within the European Union. The DPA is published and accepted at sign-up, subprocessors are disclosed in plain English, and account deletion is one click in your dashboard.

→ Data processing agreement

Real fixes

From fatal to shipped, before your coffee cools.

Typos, null guards, unpacking mistakes, async boundaries — the repetitive bug class that quietly drains your senior hours. Each proposal arrives with an explanation and a confidence score. Accept, dismiss, or roll it back.

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

One tool, three audiences, the same goal: stop firefighting.

Developers & engineering teams

Reclaim the debugging hours nobody puts on a roadmap. Patcherly absorbs the repetitive triage class so you can ship features instead of grepping logs. Your PR flow and CI stay exactly where they are.

Per-target dry-run, path exclusions, and approval rules
Metrics for time saved, resolution mix, and exports

Agencies & SMEs

Serve more clients without growing the team. Fewer incident calls, faster resolution, and stakeholder-ready reports you can drop into a QBR or a monthly client deck without rewriting a thing.

Many sites and targets in a single workspace
Per-error timelines plus Metrics rollups for client reports and QBRs

Independent professionals

Your app keeps working while you sleep, travel or focus on shipping the next release. Set-and-forget where you trust it, full manual approval where you don’t — your call, every time.

Set-and-forget options alongside full manual approval
EU-hosted by default for compliance-minded work

Numbers, not promises

Buy back the weeks your team loses to production bugs.

At typical small-business traffic (~90k visits/month, i.e. ~3k visits/day), teams spend an estimated $8,500/year on manual debugging — and Patcherly cuts that by 57%.

At ~300k visits/month (~10k/day) the saving reaches about $24,000/year; at ~3M visits/month (~100k/day), over $250,000/year.

Visits / month : 90k

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

Developer cost (€/h): 100

Per month

0 hours saved

0 € saved

Per year

0 hours saved

0 € saved

Hours estimates include an extra ~10 minutes for human approval per fix; with auto-approve patches are applied and verified in under a minute each. Understanding metrics → · How we calculate savings →

Common questions.

Didn’t find what you need? Ask us anything or browse the help center.

Do I upload my whole repo or hand over SSH credentials?

Neither. Patcherly runs through a connector you install on your own infrastructure. It streams errors to us and writes patches locally. Our team never logs into your servers, and your codebase never moves into our cloud.

Will Patcherly change production files without my approval?

No. New targets default to dry-run, and fixes wait for your approval before any write. Auto-approve is opt-in, scoped per target — that switch is yours, not ours.

What if the AI suggests a bad patch?

Your connector takes a local backup before every apply. If apply or validation fails, rollback is immediate. A URL health probe can also trigger automatic rollback when your site looks broken — and manual rollback is always one click away.

Is my code used to train foundation models?

No. Patcherly uses third-party AI for inference only — to draft fixes and explanations — never to train anyone’s foundation model on your repository. Payloads are sanitized before they leave your server, and operational outcomes (like a previously failed patch pattern) stay scoped to your workspace.

How is Patcherly different from Copilot, Cursor, or Sentry?

Those tools shine in the editor (authoring) or in observability (seeing what broke). Patcherly closes the loop on the server: production signal → AI-assisted fix → your approval → local apply → verification and rollback, all in one workspace. Your IDE assistant stays where it is.

Where is my data hosted, and do you have a DPA?

The Patcherly app, API, and database are EU-hosted by default. The DPA is published at /legal/data-processing-agreement and accepted at sign-up. Subprocessors are listed at /legal/subprocessors. You can start account deletion from your dashboard.