8 stories
Regulated engineering teams must prove which files an AI agent read before it shipped a change. How scoped retrieval turns agent context into an audit trail.
Vulnerability remediation breaks down at codebase scale: AI code without context, detection coverage gaps, and fixes that take weeks across 10,000 repos.
Agentic Batch Changes is now in public beta: an AI agent that scopes, executes, and ships large-scale code migrations across hundreds of repositories until every PR is mergeable.
The bottleneck in most large-scale migrations is not the engineers or the plan. It is that the tools cannot see the whole codebase.
Every engineering org has the files nobody wants to open. Here's what that actually costs.
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.
Today, we're announcing Sourcegraph 7.0, a release that marks the beginning of a new chapter for our company and product.
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