Tinkering Monkey Simple black blade sign with colored logo for sourcegraph, a san francisco based company that adds code intelligence to github and other code hosts. Sourcegraph lets you understand and analyze code trends by visualizing how the codebase changes. measure and act on engineering goals such as migration and component deprecation. read the code insights documentation to learn more, including helpful how to guides.
Tinkering Monkey Helping developers search, understand, and write code in complex codebases with ai sourcegraph. Sourcegraph is now 2 separate products: code search and cody (our code ai). cody remains open source (apache 2) in the client cody* directories in the repository, and we're extracting that to a separate 100% oss repository soon. Sourcegraph has launched an exciting new product called amp, currently in its research review phase. with sourcegraph’s tagline on the website “engineered for the enterprise,” i was eager to try it and see if it could live up to that promise, especially in the world of corporate finance. Learn how palo alto networks uses sourcegraph to improve developer onboarding and code understanding. exploring all the new features in sourcegraph 6.0 and 6.1, including an in depth look at our review agent. an overview of sourcegraph security practices, certifications, and data protection measures for enterprise deployments.
Tinkering Monkey Sourcegraph has launched an exciting new product called amp, currently in its research review phase. with sourcegraph’s tagline on the website “engineered for the enterprise,” i was eager to try it and see if it could live up to that promise, especially in the world of corporate finance. Learn how palo alto networks uses sourcegraph to improve developer onboarding and code understanding. exploring all the new features in sourcegraph 6.0 and 6.1, including an in depth look at our review agent. an overview of sourcegraph security practices, certifications, and data protection measures for enterprise deployments. Whether you want to find open source software that you want to contribute to, or to see how a technology is being used, i believe sourcegraph can help with that. We’re here to help you grow, whether you have 10 employees or 10,000. your team deserves a space they can call their own. we know that one size doesn’t fit all. each business is unique, and deserves a custom signage solution to tell their story. Code search makes it easy to find code, make large scale changes, and track insights across codebases of any scale and with any number of code hosts. Context library — versioned rag with source lineage a retrieval augmented generation system that tracks, versions, and diffs source documents across heterogeneous inputs. every chunk in the vector store carries full provenance back to its origin, and content changes are detected via hash based comparison of normalized markdown.
Tinkering Monkey Whether you want to find open source software that you want to contribute to, or to see how a technology is being used, i believe sourcegraph can help with that. We’re here to help you grow, whether you have 10 employees or 10,000. your team deserves a space they can call their own. we know that one size doesn’t fit all. each business is unique, and deserves a custom signage solution to tell their story. Code search makes it easy to find code, make large scale changes, and track insights across codebases of any scale and with any number of code hosts. Context library — versioned rag with source lineage a retrieval augmented generation system that tracks, versions, and diffs source documents across heterogeneous inputs. every chunk in the vector store carries full provenance back to its origin, and content changes are detected via hash based comparison of normalized markdown.
Tinkering Monkey Code search makes it easy to find code, make large scale changes, and track insights across codebases of any scale and with any number of code hosts. Context library — versioned rag with source lineage a retrieval augmented generation system that tracks, versions, and diffs source documents across heterogeneous inputs. every chunk in the vector store carries full provenance back to its origin, and content changes are detected via hash based comparison of normalized markdown.
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