Patcherly
Patcherly aims to democratize AI debugging — for freelancers, small agencies, nonprofits, and small businesses that can't afford large engineering teams.
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About
Patcherly - AI-Powered Self-Healing for the Modern Web
Patcherly was built by developers, for developers.
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 Github Patcherly public page is new and awaiting approval, we will be populating it with content shortly.
In the meantime, you are more than welcome to check out our website and join our launch email list, our Discord channel or contact us directly at [email protected] . We would love to hear from you!
🚨 The Problem with Current AI Debugging
Most 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.
📊 Why This Matters
During our research (we’ll soon publish papers derived from the founder's 100-page Computer Science thesis), we found:
Patcherly was built by developers, for developers.
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 Github Patcherly public page is new and awaiting approval, we will be populating it with content shortly.
In the meantime, you are more than welcome to check out our website and join our launch email list, our Discord channel or contact us directly at [email protected] . We would love to hear from you!
🚨 The Problem with Current AI Debugging
Most 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.
📊 Why This Matters
During our research (we’ll soon publish papers derived from the founder's 100-page Computer Science thesis), we found:
- Developers spend up to 50% of their time debugging, rather than building.
That’s half of your productivity lost.
- Small online businesses waste up to $5,000+ per year —just chasing errors, while Enterprise get up to over $250,000+ lost buget per year.
A silent, invisible tax on growth and profit.
This doesn’t scale.
It doesn’t have to continue.
🧩 Human-Centric Automation
Patcherly brings freelancers, agencies, and businesses closer to powerful AI, without taking away control.
You can:
- 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
- Rate the fix, so the next one will have improved confidence, realiability and accuracy
- And if something goes wrong, Patcherly automatically restores your original file — securely backed up and encrypted.
Automation with accountability.
🔐 Security First, Always
Your code stays on your own server.
We never store or access your files directly.
Communication between your environment and our infrastructure is protected by 8 stacked layers of security, designed to meet enterprise expectations.
💼 A For-Profit Initiative — With an Open Heart
Patcherly is a for-profit project initially researched, designed, and built by a solo Software Engineer.
While the full application source code remains private, the GitHub organization will include:
- Open-source components
- AI-powered auto-repair prompt collections
- Developer insights
- Best practices for SecOps and DevOps
- Community contributions to improve Devs & AI tools cooperation
Developers & Sponsors 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.
Sponsorship accelerates:
- Further academic publications
- Feature expansion
- Language support beyond PHP/Python/Javascript
- Cloud-native deployment
- Dev tools ecosystem integrations
- CI/CD improvements
- Accessible pricing tiers for vulnerable small businesses
Backing Patcherly means supporting a safer, more resilient web!
Our team
Jany Martelli
Admin