Why coding agents fail in large codebases (and what to do about it)
Data from 1,281 agent runs across 40+ large open source repos reveals five repeatable failure patterns in coding agents, and the infrastructure fixes for each.
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Data from 1,281 agent runs across 40+ large open source repos reveals five repeatable failure patterns in coding agents, and the infrastructure fixes for each.
We built a Deep Search Slack agent for large companies. Here is what we learned about user experience, enterprise security, and Redis-backed rate limiting.
AI added new ways to search code, but not all of them apply to every problem. Here’s how to choose between Code Search, Deep Search, and MCP.
We audited what it would take to build a Sourcegraph equivalent internally, mapped the platform to 90 engineering requirements across 10 categories, and modeled 3-year costs for different environment sizes.
Poisoned LiteLLM packages on PyPI started stealing credentials. Using Deep Search and Code Search, we traced which public repos were protected by version pinning and which were left exposed. Here's how—and how you can do the same for any supply chain incident.
We are excited to announce our transition to a community-driven open source project. While making this change, we reaffirm our deep commitment to remaining active members of the community.
While direct API calls seem cheaper and easier, they lack the safety layer large organizations rely on. Tool connection protocols aren't dead; they remain vital for security, governance, and centralized control in big teams.
The initial findings from CodeScaleBench, a new benchmark designed to evaluate coding agents against the true complexity of enterprise software development, including large codebases and multi-repository tasks.
Today, we're announcing Sourcegraph 7.0, a release that marks the beginning of a new chapter for our company and product.
The hidden cost of being a data-driven company is context-switching for analysts due to "quick questions." DataBot allows the data team to focus on auditing analysis instead of performing it.
Deep Search empowers our Support Engineers to bypass initial escalations, enabling them to dive directly into investigating the root cause of issues.
Cross-repo search provides semantic code understanding across repositories.
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