Patched is an open-source framework to automate code reviews, docs, and patches with AI.

We empower developers to build and deploy AI-assisted workflows that can autonomously complete repetitive, mundane tasks like documentation, code reviews, and security patching.

Patched is the preferred option for privacy-conscious enterprises and engineer that want to leverage the best AI models for their development workflows without compromising security, control, or compliance.

What makes Patched different?
- Autonomous Automation: Unlike copilots that assist during active development, Patched runs in the background, managing tasks autonomously.
- Code-Native Workflows: Flows can be built using visual editors or Python code.
- Open-Source Flexibility: Allows running patchflows locally and integrating with preferred LLM API endpoints for enhanced privacy.
- Control & Precision: Get full control over your workflows, overcoming limitations of non-deterministic agentic behaviors.
Open-source workflow automation for enterprise dev teams
Title: Patched: Open-source workflow automation for enterprise dev teams | Y Combinator

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### Open-source workflow automation for enterprise dev teams

Patched empowers development teams to build and deploy AI-assisted workflows that can autonomously complete post-code tasks like documentation, code reviews, and security patching. Our workflows can be customized using a visual builder and can be self-hosted with any AI model, enabling automation without compromising security, control, or compliance.

### Latest News



Patched

Founded:2024

Team Size:2

Location:San Francisco

### Active Founders

### Rohan Sood, Co-Founder and CEO

Rohan holds a Master's in optimization algorithms from NTU Singapore and is a second-time founder. He closed millions in enterprise revenue from customers in the defense, energy, and healthcare sectors, before being acquired in 2023 and was a recipient of the million-dollar CSA Innovation Award from the Singapore government.



### Asankhaya Sharma, Co-Founder & Chief Technology Officer

Asankhaya holds a PhD in static analysis from NUS, and was previously an Engineering Director at Veracode following the acquisition of his startup SourceClear. He has over a decade of experience leading engineering teams, has 40+ research publications, and received the ACM Distinguished Paper Award for his work on using machine learning for curating software vulnerabilities.



### Company Launches

[### Patched - Open-source workflow automation for dev teams](

> TLDR; Patched empowers developers to build and deploy AI-assisted workflows that can autonomously complete post-code tasks like documentation, reviews, and patching. [Try us on our app today]( or use our [open-source repo!](

Hey everyone, we’re [Asankhaya]( and [Rohan]( - ex-researchers and second-time founders who want to help development teams automate tasks that stop them from shipping code faster.



_Fun fact: We went to grad school at competing universities and built competing start-ups before this!_

**Problem**

Development teams slow down not because building new features is hard but because they get overwhelmed by maintenance and patching tasks. On average, devs spend 35% of their time just managing existing code.

**Solution**

AI and LLMs can help, but they need to be given well-defined, tailored instructions with clear context. Patched enables developers to do this through customizable workflows called "patchflows" that combine atomic actions with AI to complete a code management task.

**How does it work?**

You can customize or build automations using the patchflow builder. Here’s an example of a PR Review patchflow that adds comments if there are coding style violations.



Patchflows can be triggered on your code repositories through the app, via CLI, or as part of your CI.



**What makes Patched different?**

*   **Autonomous Automation:** Unlike copilots that assist as you code, Patched runs in the background, autonomously managing tasks so you don’t have to.
*   **Code-Native Workflows:** You can build patchflows using plain text and our visual builder, but they all translate to Python code that you can inspect, edit, and extend as you like.
*   **Open-Source Flexibility:** Our open-source framework allows you to run patchflows locally, customize them to your needs, and even integrate your own LLM APIs for enhanced privacy and control.
*   **Control & Precision:** AI agents struggle to plan and achieve reliable outcomes, and humans struggle to provide clear instructions. Patched gives you full control over your workflows, allowing you to define, iterate, and refine until you achieve the desired outcome—no guesswork involved.

The result is a framework that can reliably automate tasks with up to [90% success rate]( [through efficient model use]( and [carefully curated prompts](

**Our Ask:**

*   ⭐ [Try Patched (no waitlists!)]( and [star our repo!](
*   If you’re part of a large dev team building AI tooling and workflows for yourself, [we’d love to talk](

#### YC Sign Photo


