APR 9, 2025
Sourcegraph is now ISO 27001:2022 certified
Sourcegraph is now ISO 27001:2022 certified, strengthening our commitment to enterprise-grade security.
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APR 4, 2025
Keeping it boring (and relevant) with BM25F
How we've adapted the classic BM25 algorithm to improve code search by 20%.
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APR 3, 2025
Lessons from building Sherlock: Automating security code reviews with Sourcegraph
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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MAR 26, 2025
Beyond working set memory: understanding the cAdvisor memory metrics
We dug into cAdvisor memory metrics and resolved some common confusion to figure out what they really mean.
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MAR 22, 2025
Revenge of the junior developer
The latest installment from Steve Yegge on viiiiibe coding and what that means for developer jobs.
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FEB 20, 2025
Lessons from building AI coding assistants: Context retrieval and evaluation
A deep dive into context retrieval - the crucial search component that helps our AI coding assistant understand your codebase.
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FEB 5, 2025
Combining chat and search in a single input with Sourcegraph 6.0
With the release of Sourcegraph 6.0, we are introducing a new unified UI for searching, understanding, and creating code.
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FEB 5, 2025
Introducing Sourcegraph Enterprise Starter
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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JAN 29, 2025
Agentic chat - think twice, answer once
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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JAN 29, 2025
The software industrial revolution: AI agents for enterprise development
We believe AI coding agents are best suited to automate the repetitive, mind-numbing parts of enterprise software development, not to try (and fail) to replace humans.
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JAN 28, 2025
Enter flow state with auto-edit
Auto-edit is the first integration that goes beyond autocomplete to suggest context-aware edits natively in Visual Studio Code.
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JAN 28, 2025
Priceline's innovations in agentic AI with Sourcegraph
With the help of agentic frameworks and Sourcegraph's APIs, Priceline was able to demonstrate that AI agents operating within the proper context and with the right tools can act as a force multiplier for a developer.
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DEC 18, 2024
The virtual code AI summit: How AI is transforming software development at scale
AI coding agents dominated discussions at the Virtual Code AI Summit, where industry leaders shared how AI tools are revolutionizing software development through automation, workflow acceleration, and developer empowerment.
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DEC 16, 2024
Announcing Sourcegraph's partnership with DX to measure and improve developer productivity
We're partnering with DX, the engineering intelligence platform, to help teams better measure the impact of code AI.
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DEC 10, 2024
The death of the stubborn developer
How stubborn developers are getting left behind by refusing to adopt chat-oriented programming (CHOP) as their primary development approach.
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NOV 26, 2024
Announcing Prompt Library: save, reuse, and share frequently used prompts for Cody
Today, we're introducing Prompt Library to tackle this problem. It will speed up AI adoption in your engineering organization.
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NOV 25, 2024
Cody supports additional context through Anthropic's Model Context Protocol
Cody now supports Anthropic's Model Context Protocol, allowing you to bring external context into your editor.
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NOV 7, 2024
Toward infinite context for code
Sourcegraph and Google team up to evaluate long-context models for code generation. Discover how Cody can leverage Gemini for better code assistance.
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NOV 5, 2024
Your Cody questions answered live! - November 2024 recap
In our latest live Q&A session, Sourcegraph co-founders, along with the DevRel team, shared exciting updates and engaged with our amazing community.
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NOV 5, 2024
Measuring the impact of AI coding tools
There is little doubt of AI's promise to transform software development. But how can engineering teams measure the ROI of these tools in a way that aligns with their priorities?
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