![]() ![]() “Cody is the first code AI to autocomplete based on context from the entire repository, using embeddings-based semantic search,” Slack told VentureBeat. Slack explained that the desktop app generates a local code graph by indexing the code for search and building embeddings for semantic search, enabling the editor to communicate with the app for context when developers use Cody. The multi-repository context and more advanced natural language understanding enable Cody to handle ambiguous questions and requests, as well as write idiomatic code by learning patterns across a codebase. “Cody benefits from 10 years of us building a leading code search engine,” Slack said. The wider code context comes from Sourcegraph’s strengths as a leading code search and analysis platform, which Cody now taps into. Register Now Better autocomplete and new recipes “Cody now has a deep understanding of codebases that lets developers trust it to write entire files, fix bugs and answer questions about code they’ve never even seen,” he said. By allowing developers to point Cody at their local code, the app can better understand the codebase and even write entire tests and files. In an exclusive interview with VentureBeat, Sourcegraph CEO Quinn Slack discussed the new Cody desktop app and its ability to build context for code AI. The new version provides Cody with a broader view of code context across repositories and improved automation capabilities, allowing it to generate code, fix bugs and refactor projects with less human intervention. Sourcegraph, a leader in universal code search and AI-assisted software engineering, announced the release of Cody version 5.1 today, a major upgrade to its AI coding assistant. Join top executives in San Francisco on July 11-12 and learn how business leaders are getting ahead of the generative AI revolution. ![]()
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