Codebases are growing and changing faster than ever, but the problem of maintaining systems - old and new - is not going away for codebase owners. More of the code is written by agents now, and fewer people can hold the whole codebase in their head. The changes that touch everything (migrations, upgrades, security fixes) are the ones that keep getting deferred.

Code Finder can now search a specified revision, including a branch, tag, or commit.

Use it to investigate regressions at exact commits, find code on non-default release branches, or explore older release tags.

Large diffs are hard to review because there's no natural order to follow. Guided diff tour groups related files into sections, orders them into a suggested reading path, and adds short explanations so you can review quicker and with more confidence.

AI agents are changing everything.

Code is written in "factories", partially by humans, partially automated. The pace of change is relentless, and we've got to keep up with it.

Ask Deep Search for codebase wide inventories, audits, or migration reports that would be too large to present cleanly in an answer. Deep Search summarizes the key findings in chat and attaches the full structured output for further analysis or tracking.

Deep Search can also read generated CSV and JSON files in follow-up investigations. This allows it to filter, join, or enrich previously collected results without repeating the original codebase searches.

Deep Search can now follow your organization’s conventions on every run. Add durable AGENTS.md-style guidance for standards and preferences, plus task-specific skills that help the agent handle specialized workflows with the right instructions.

Configure customization globally, for an organization, or in your personal settings. Guidance and skills can be entered directly or loaded from an explicitly configured Sourcegraph repository location, with an optional path and branch or revision. Repository sources can contain AGENTS.md and skills at skills/<name>/SKILL.md or .agents/skills/<name>/SKILL.md; they are not automatically discovered from every repository involved in a search.

Deep Search now honors an admin-defined exclusion list. Anything matched by a context filter is invisible to the agent. The excluded content never shows up in Deep Search's answers, and it can't be read, diffed, or resolved by any Deep Search tool.

A site admin can configure filters under Admin → Configuration → Advanced configuration, inside the experimentalFeatures block. Each rule can match repositories by name, file paths, or both

Search Jobs have landed in the Sourcegraph API. A Search Job runs your query across every repository, branch, and revision in your codebase. Use it for audits, security reviews, and large scale migrations.

Code Finder, a fast and efficient agent optimized specifically for code search, is now available in Beta through the Sourcegraph MCP server.

Code Finder is a tool that helps coding agents quickly locate relevant implementations, configuration, tests, or documentation within a single repository. It returns a concise summary with links and line ranges, giving your agent focused results it can immediately use.

Following its Beta period, the redesigned compare page is now generally available. It's a ground-up rebuild of how you view changes between two revisions — fast, complete, and built to stay useful even on very large diffs.

In the Agentic Batch Changes Beta, steps utilizing inner loop coding agents like Claude Code and Codex now stream thinking and progress in real time.

If you haven't heard already, Agentic Batch Changes is now available in Beta. This is a completely re-imagined way to apply code change at scale.

We're releasing a slew of new improvements to the Beta experience this week.

Codebases are growing and changing faster than ever, but the problem of maintaining systems - old and new - is not going away for codebase owners. If anything, it is becoming more important than ever. Today, we're taking the next step to meet this new era of software development with Agentic Batch Changes, available now in Beta: the frontier agent for code change at scale, built on technology designed for the world's largest codebases.

We are removing the need to manually manage your context window limits!

Compaction runs in the background, so there is nothing new to configure or learn. Keep asking follow-up questions, and Deep Search will make room when older conversation history starts to crowd the context window.

Deep Search can now use a dedicated subagent specialized for finding files relevant to your query in case a specific code domain needs to be researched. This subagent performs scoped searches and presents a summary to the main agent. Since the main Deep Search agent only needs to read this summary, this saves tokens in its context window.

This means Deep Search can explore more of your codebase while using fewer tokens, so you get more focused context and longer conversation. We expect this feature will significantly alleviate issues with deep single-question research - for multi-question, we just shipped auto-compaction.