Diego spent a decade as a platform engineer at one of the largest fintechs in Latin America before moving into writing full-time. His focus is the place where developer experience meets the local AI category — the moment a hosted-API call becomes a localhost call, and the engineering implications that follow from that.
Background
Diego trained as a software engineer at UNAM and spent eight years at a Mexican fintech building the platform team's developer-facing tooling — internal SDKs, CI pipelines, on-call rotation tooling. He left to write full-time in 2023 to cover the local-AI tooling explosion, focusing specifically on how the open-weight ecosystem fits into a real developer's workflow.
The point of a local OpenAI-compatible API is that nothing else in the codebase has to change. The prototype that works against the hosted endpoint works against LM Studio with a one-line config swap — and that is the whole product. Diego Ramírez, on local API ergonomics
Career timeline
Platform engineer, Mexican fintech
Built internal SDKs and CI tooling for a payments platform serving five Latin American countries.
Senior platform engineer, same employer
Led the developer-experience team — internal tools, on-call rotation tooling, build-system reliability.
Developer Tools Editor, LM Studio
Long-form coverage of the local AI tooling stack — APIs, CLIs, plugins, agentic workflows — for Mac and Windows developers.
Editorial principles
Every tool covered here is tested by running it against the same fixed set of fifty curated prompts on a current Apple Silicon Mac and a Windows 11 laptop with an NVIDIA GPU. Code samples are tested end-to-end before publication. No affiliate placement.
Contact
Diego Ramírez reads every email but cannot offer one-to-one support for the LM Studio application itself — for that, please use the publisher's official Discord and documentation. For corrections, story tips or speaking enquiries, reach out via the address listed on the main site.
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