Patcherly

You build, we fix.

We're Building Something Amazing

Patcherly is an AI-powered web assistant that actually works.
It automatically monitors, debugs, tests & fixes your apps & websites,
through an innovative process, while you keep full control.

Smart AI

Our AI automatically learns from your environment & codebase, continuously improving its performance.

Automation

Choose between manual & automated error monitoring, error detection, patching & testing, with auto-rollback for fail-safe automated fixes, risk-free.

24/7 Assistant

Continuous learning, monitoring & alerting, no more letting errors happen unnoticed, while you lose revenue & customers.

You're In Control

Instantly get notified, choose to approve or reject every patch before it's rolled out, rollback if needed & get full traceability.

Analytics & Insights

Advanced analytics, business metrics & ROI tracking. See time & money saved, error trends, and performance improvements at a glance.

Cybersecurity

Military-grade encryption & stacked protection layers. Enterprise-level communication standards, between your code & our infrastructure.

Privacy & Security by Design EU Flag

Your data is never sold, shared, used or stored with third parties. We adhere to European values of privacy, data protection & user rights.

Built with GDPR compliance & strict data minimization principles at the core of everything we do.

What We Support

Patcherly works with your favorite languages and frameworks & more to come!

PHP

Files: .php, .phtml

Frameworks: Laravel, Symfony, CodeIgniter, any custom PHP framework

Python

Files: .py

Frameworks: Django, Flask, FastAPI, Pyramid, any custom Python framework

Node.js

Files: .js, .jsx, .mjs, .cjs

Frameworks: Express, Koa, NestJS, Next.js, any Node.js backend application (server-side)

WordPress

Files: .php, .phtml

Support: Themes, Plugins, Core, Multisite, any custom scripts

A few examples

From typos to syntax and logic errors, Patcherly can help you fix them quickly, safely & easily, in seconds.

Before: Code with Error

Even the smallest of errors could prevent a whole page from loading, displaying a blank page / error message, to every user, until it finally gets noticed & fixed by a developer.

<?php
function getUserData($userId) {
    $user = fetchUser($userId);

    /* ***********
    * This will trigger a fatal error if $user is null
    ************ */
    
    return $user->getName(); // ✗ Fatal: missing null check
}
?>
❌ Fatal Error: Call to method on null Line: 8
After: Error Fixed

The error has been auto detected, analyzed, patched, tested & rolled out, in seconds. The page now loads successfully, users likely didn't even notice the error.

<?php
function getUserData($userId) {
    $user = fetchUser($userId);

    /* ***********
    * Patcherly - 2025-11-18 12:00:00
    * Null check added to prevent fatal error if $user is null
    ************ */

    return $user ? $user->getName() : null; // ✓ Fixed
}
?>
✅ Error Fixed: Null check added Confidence: 96%
Before: Code with Error

Trying to unpack a dictionary as a tuple will crash your application with a TypeError, breaking the entire request flow.

def process_user_data(data):

    # ***********
    # This will raise TypeError if data is a dict
    # ***********
    
    name, age = data  # ✗ Fatal: Cannot unpack dict
    return f"{name} is {age}"
❌ TypeError: cannot unpack dict Line: 6
After: Error Fixed

Patcherly detected the issue, generated a safe fix, tested it, and deployed it automatically. Zero downtime, zero user impact.

def process_user_data(data):

    # ***********
    # Patcherly - 2025-11-18 12:00:00
    # Fixed dict unpacking: access dict keys instead
    # ***********
    
    name = data.get('name', '')
    age = data.get('age', 0)  # ✓ Fixed
    return f"{name} is {age}"
✅ Error Fixed: Dict access corrected Confidence: 94%
Before: Code with Error

Accessing properties on undefined objects will crash your Node.js server with a TypeError, breaking the entire request flow.

async function getUserProfile(userId) {
    const user = await fetchUser(userId);
    
    // ***********
    // This will throw TypeError if user is null/undefined
    // ***********
    
    return user.name;  // ✗ Fatal: Cannot read property of undefined
}
❌ TypeError: Cannot read property 'name' of undefined Line: 7
After: Error Fixed

Patcherly detected the unsafe property access, added a null check, and deployed the fix automatically. Your server stays online.

async function getUserProfile(userId) {
    const user = await fetchUser(userId);
    
    // ***********
    // Patcherly - 2025-11-18 12:00:00
    // Added null check to prevent TypeError if user is undefined
    // ***********
    
    return user?.name || null;  // ✓ Fixed: Optional chaining
}
✅ Error Fixed: Optional chaining added Confidence: 97%

Excited yet??

We're almost there! We will be launching by end of 2025,
so if you like what we're doing, let us know!

Get Notified When We Launch

Be the first to know when Patcherly goes live.
We'll send you an email for early access, free trials & exclusive discounts.

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Support Patcherly

Help us build a safer, more resilient web.
Choose your preferred way to support our mission.

About Patcherly

AI-Powered Self-Healing for the Modern Web

But its impact reaches far beyond code: small businesses, web agencies, hosting providers, and enterprise CI/CD pipelines can all benefit from intelligent automated debugging that lives inside their environment, not outside of it.

The Problem with Current AI tools & Debugging

Current AI tools sit outside your applications, with no access to real context.

This leads to incomplete analysis, shaky guesses, and repetitive debugging cycles that waste time and money.


The Patcherly Mission

Bring the power of AI directly into your own environment — securely, contextually, and with human-in-the-loop control.

Patcherly monitors, analyzes, and proposes precise code patches the moment errors appear, empowering teams to reclaim enormous amounts of time and resources.

Research-Backed Results: Our innovative context-enriched AI approach & modeling, showed ~60-80% improvement in AI fix accuracy, compared to current AI tools, virtually eliminating Mean Time To Repair (MTTR), and cutting manual debugging intervention by ~45%. Patch rejection rates improved from 42% down to ~25%, with higher accuracy and reliability.

Why This Matters

During our research (from the founder's 100-page Modern Computer Science thesis), we found:

50% Time Lost

Developers spend up to 50% of their time debugging, rather than building new features and innovating. This massive productivity drain prevents teams from focusing on growth and competitive advantage.

That's half of your development capacity lost to maintenance instead of innovation.

Massive Financial Loss

Small online businesses waste up to ~$5,000 per year—just chasing errors, while Medium-sized to Enterprise businesses lose $23,000 - $250,000+ budget per year on debugging alone.

A silent, invisible tax on growth and profit that compounds over time and scales with the size of the business.

Damaged Reputation

The impact of bugs, the resources they require and the operational downtime they cause, leads to diminished customer trust, reduced brand loyalty and lost revenue.

Inefficiencies in debugging, leading to delayed Mean Time To Repair (MTTR), can be long-lasting, and scale with the size of the business.

National Impact: According to the National Institute of Standards and Technology (NIST, 2002), software defects cost the U.S. economy alone, an estimated $59.5 billion annually—and that was over 20 years ago. The problem has only grown since then.

It doesn't have to continue.

Human-Centric Automation

Patcherly brings freelancers, agencies, and businesses closer to powerful AI, without taking away control.

See exactly which bugs have appeared

Through full traceability

Review the AI-proposed fix

Customized to your website/app

Decide when and if to apply the patch

You're always in control

Observe the full process

Detailed audit trail of each step of the way

Autonomous Testing & Auto-Rollback Protection: Patcherly is capable of automatically testing the fix, in your own environment, and if something goes wrong, it automatically restores everything to the previous state — securely backed up and encrypted.
Fail safely & fast, risk-free.

Automation with accountability.

8 Security Layers & EU Privacy principles

Enterprise-grade protection: comprehensive security measures and workflows
keep your code & data safe at every step

1. Authentication & Authorization

Strong agent key authentication, HMAC signatures and timestamp validation ensures only authorized, time-validated access with scope enforcement. And they constantly auto-rotate, never worry about them being compromised.

2. Data Validation

Error data, patch code, and file paths are redacted, anonymized, validated and sanitized before processing, preventing malicious code from corrupting your data, exposing sensitive information, or disrupting your service operations.

3. Code & Data Privacy

Bug analysis is private and secure: your sourcecode is never stored, copied, or transmitted to us.
Sensitive data (API keys, passwords, tokens) is automatically redacted— we never see, use, or send your sensitive data to AI, or any other third party.

4. Backup Security

Before patching any file, an encrypted backup is always created, on your own server, to ensure integrity and safety. If a patch rollback is needed, the backup will be decrypted and applied, directly from your own server. We never store your files.

5. Data Isolation & Protection

Your account is protected from brute force attacks with login throttling & exponential backoff. Complete tenant isolation ensures your data is completely separated from other customers.

6. Full Encryption

End-to-end encryption for all communication in transit, between your environment and our infrastructure, and encryption at rest.
Not even we can directly access or decrypt your source code, data, or backups.

7. Dashboard Security

We made your dashboard sessions resilient to XSS, man-in-the-middle and clickjacking attacks that could intercept your data or hijack your account, stopping malicious activity in its tracks.

8. Threat Detection

We implement a robust enterprise-grade security posture, with real-time threat detection, monitoring and automated IP blocking, to protect your account against malicious activity.

A For-Profit Initiative — With an Open Heart

What Remains Private

  • Core application source code & proprietary algorithms
  • Internal infrastructure, architecture & business logic
  • Any app or user related sensitive data, stats & configuration
  • Proprietary security workflow & implementation details

What We're Open-Sourcing

  • Open-source components, integrations & connectors
  • AI prompt templates, collections & ethical usage
  • Insights & Community contributions to improve AI tools
  • Best practices for Devs, SecOps and DevOps
  • Industry reports, benchmarks and insights

Developers who contribute help shape the future of AI-assisted software reliability.

🤝

Why Sponsors Matter

Patcherly aims to democratize AI debugging — for freelancers, small agencies, nonprofits, and small businesses that can't afford large engineering teams.

Academic Publications

Publication took a back seat for now, but there's plenty of insights we want to share with the community.

Feature Expansion

Public API/SDK, patch accuracy improvements, and large ecosystems support.

Language Support

Beyond PHP/Python/Node.js, we're looking to support more languages and frameworks.

AI Accessibility

Simplify harnessing the power of AI and boost productivity for all, not just a few.

Dev Tools Integrations

Integrate with your favorite tools, to streamline your workflow.

CI/CD Improvements

Integrations with your CI/CD pipeline and distributed environments.

Accessible Pricing Tiers: Sponsorship helps us keep a Free plan and offer accessible pricing tiers for vulnerable small businesses & freelancers.

Backing Patcherly means supporting a safer,
more resilient web!

We are finalizing testing iterations and improvements, gearing to launch before end of 2025, your support will help us stay on track.