AI coding tools are generating code faster than ever, making strong code search and intelligence like Sourcegraph a critical tool for managing the resulting growth and complexity of enterprise codebases.
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This post provides Sourcegraph code search queries and Deep Search instructions to immediately find and track all projects affected by the CVE-2025-55182 remote code execution flaw in React Server Components.
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Our new CEO, Dan Adler, reflects on the evolution of code search and shares our strategic vision for supporting deep code understanding to both developers and AI agents.
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Sourcegraph and Amp are becoming two separate companies, with Dan Adler stepping up as CEO of the code search business while co-founders Quinn Slack and Beyang Liu launch Amp Inc. to focus on frontier coding agents.
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We're excited to announce a new feature in Sourcegraph v6.10 that makes it easier to organize and revisit your most valuable Deep Search conversations: starred threads.
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Deep Search, our agentic code search tool, is now generally available in the 6.9 release, introducing role-based permissions for enterprise teams.
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Semantic code search finds code by intent, using AI and vector embeddings to understand what the code does rather than relying on exact keyword matches. Learn how this powerful approach accelerates developer onboarding, enhances vulnerability detection, and works best when combined with traditional keyword and structural search.
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We're announcing important changes to a number of our Cody plans.
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Deep Search is a new feature in research preview that helps Code Search users explore and understand code with natural-language questions.
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Welcome back! Come one, come all, friends, foes, fart connoisseurs, all are welcome here at Camel Central.
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We're improving Batch Changes to better support large-scale code transformations - through a renewed focus on security, lovability, and usability.
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Sourcegraph is now ISO 27001:2022 certified, strengthening our commitment to enterprise-grade security.
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How we've adapted the classic BM25 algorithm to improve code search by 20%.
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How our security team built Sherlock, an AI-powered tool that automates security code reviews to cut through false positives and surface real risks faster.
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We dug into cAdvisor memory metrics and resolved some common confusion to figure out what they really mean.
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The latest installment from Steve Yegge on viiiiibe coding and what that means for developer jobs.
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A deep dive into context retrieval - the crucial search component that helps our AI coding assistant understand your codebase.
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With the release of Sourcegraph 6.0, we are introducing a new unified UI for searching, understanding, and creating code.
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Today we're announcing Sourcegraph Enterprise Starter for growing teams of up to 50 devs, a new self-serve plan allowing even more developers to leverage our advanced code search and AI capabilities.
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Agentic chat makes coding with AI better by autonomously gathering and refining the most relevant context from your codebase, terminal, and other tools.
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