
Morph provides a fast way for developers to apply AI-generated edits directly into their code files. It integrates outputs from AI models like Claude and Gemini and uses embedding and re-ranking…

Morph provides a fast way for developers to apply AI-generated edits directly into their code files. It integrates outputs from AI models like Claude and Gemini and uses embedding and re-ranking…
What they do: APIs and models that apply and merge AI-generated code edits into codebases
Deployment: Cloud and self-hosted; OpenAI-compatible API
Performance focus: High-throughput, code-accurate edit application (Fast Apply model claimed)
Backers noted: Y Combinator
Automating accurate application and merging of AI-generated code edits into existing codebases.
2025
Information Technology
500000
Amount and date provided in one public company snapshot; external databases show inconsistent or obfuscated funding records.
“Y Combinator-backed (as noted on company materials)”
Goal: 99.99% uptime
We serve custom inference stacks that have irregular GPU load.
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We're looking for people that have done genuinely amazing work in infrastructure that are interested in a challenge, working with both traditional infrastructure such as load balancers, NLB, etc., as well as very different infrastructure around inference engines and GPU loads.
This is a role that will inherently require deep infra experience.
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